Posts Tagged ‘facebook’
TruBaltics, An Unconference on Recruitment
#TruBaltics
Today I attended #TruBaltics one of the Tru Conferences on recruitment.
The Recruiting Unconferences are a series of pure unconferences organised worldwide, where the emphasis is on conversation, communication and the free exchange of ideas and experiences, (dis)organized by Bill Boorman.
These unconferences have four simple rules:
- No Presentations
- No PowerPoint
- No Name Badges
- No Pitching
The driving forces behind this edition of Tru seemed to be Aki Kakko and Ruta Klyvyte.
The topic of recruitment is very new to me, so this was a quick way for me to get an overview of the topics that people are worrying about and be more at the edge than if I’d gone to an event organized by Bersin for example. I attended a set of tracks and kept some notes:
Job board versus social
Mike Sandiford explained how in the UK people are declaring the job board dead. He is not sure he agrees: People go to job boards because they are looking for jobs. That is not necessarily the case for social. The most important thing is to find out where your target audience is spending time online. What is best really depends on what you are looking for and on the market. Whether you use job boards or more social tools like Facebook, Twitter, LinkedIn or Google+, you will always find that brand is of course an important part of your presence on job boards and in social media.
One participant in the track argued strongly against using job boards at all. You don’t get much for what you pay for and you actually cast the net way too wide and then lose a lot of time in the screening process. According him the war for talent isn’t because there is scarcity of talent, but because there is too much talent and you have to spend time selecting the right person.
There is company that has created a lot of training materials on how you use social tools in recruitment: Social Talent. There seems to be a permanent race to use the latest social tool. People discussed using things like Foursquare, Pinterest and even Spotify (if you are the Hard Rock cafe you could create a playlist and hire the people that like your playlist…, yes yes).
Value-based interviewing (as opposed to skill-based)
Liena Ivanova and Darja Milova led this track which tried to answer whether companies should, can and will assess a candidate’s values during the interview process.
We first discussed whether companies can have values (or whether only people can have values). We quickly talked about Edgar’s Schein‘s three levels of organizational culture: artifacts, values and assumptions.
Some people in the track really preferred to look at somebody’s skills rather than at their values. Other people were very interested in how you would assess people’s values in the first place (there didn’t seem to be any answers for this in the room). Heineken has a funny ad that shows how you can go beyond the traditional way when assessing candidate:
One thing you can do is create a video as an artifact of a company’s culture which can then attract the right candidates. Facebook has an example of this:
My employer has done something similar:
Of course we also discussed Zappos who seem to have managed to make their values part of their brand proposition (but are now themselves part of Amazon which seem to be pushing work practices in a terrible way).
This stimulating track left me with two questions/thoughts:
- Don’t companies just get the candidates that they deserve? Or put another way: isn’t there a natural matc between the company’s values and those of the candidate? Isn’t the easiest intervention you can do when you want to have different candidates to change your company?
- How does diversity fit into this picture? Diversity is part of many company’s value statements, but we don’t seem to have an appetite for hiring people who hav different values than ours.
The death of social recruitment. What’s the next big thing?
Rihard Brigis wanted to discuss what new technology is coming up that actually works. We touched on things like workforce marketing, social referrals, cloud recruiting and the increase in the use of analytics. The latter can help you find people on the basis of what they do rather than on the basis of what they say. Tools like Knack It serve a similar purpose.
There are few companies that claim to have interesting technology that helps the recruitment and that might be worth checking out. I will look into Jobscience, Bullhorn and Joberate. Joberate is developing a product that sounds very interesting. It is called “signal” and tries to find candidates that seem to be ready to change jobs and are thus ripe for the picking. This has obvious external applications, but could even be useful internally: who doesn’t want to know when is on the cusp of leaving? Read more about signal here.
Another things that is happening more often is that companies organize events that manage to attract who don’t work for the company (think of a hackaton) and then let current employees decide who they like to hire from those events. It boils down to organizing things that expose people to you. I think that this is what the larger MOOC providers like Coursera will ultimately do. As a company don’t you want to know who are the top performers in certain courses?
I actually think there must be a market for what I’ll name slow recruitment (or slow recruiting for SEO purposes): not using the latest online technology to continuously accelerate the sourcing and selection process, but take your time instead because you know that is just better. When I mentioned this in the track no eyes lit up (yet).
“Marrying” the candidate – pro and cons (building a close relationship or not)
Inna Ferdman and Irina Točko discussed an important recruitment topic: how “intimate” can you afford to be with your candidates. There is a trend in recruitment to build longer term relationships with candidates maybe even before they are ready to move. They used the metaphor of marriage to explore the topic.
For me this topic is very much about what I’ll term the directionality of the hiring relationship. If I am a recruiter for a company that can find many people for a particular job, then I can afford not to have a relationship with the candidate. If a candidate’s skills are so rare that he can pick different employer (flipping the hiring process so to say), then it pays of to invest in a candidate. (A sidenote: I am toying with the idea of doing an RFI/RFP process for my own employment where I would put down my requirements and then let employers bid against each other, could be interesting).
I don’t know this profession at all, so maybe somebody else can tell me whether the following is a feasible business model for a recruiter. Could you build very solid relationships with a group of very talented people that you then each place once every four years or so? How many people would need to be in your talent pool? Would it be less than Dunbar’s number? I guess that would depend on the field and how high the commissions are.
Employer branding 2.0
This track was led by Jacco Valkenburg from Recruit2 who is a LinkedIn recruitment guru.
According to Jacco we’ve been building recruitment sites for the past 10 -15 years. He now believes that these websites are at the end of their product lifecycle. Mainly because the web is disappearing: people are checking Facebook in the morning, rather than visiting a website. He adviced everybody to move their whole recruitment site into Facebook. Facebook’s interactivity make it a great place to show what an interesting place to work you are.
He showed how a company like Q-Park has created a Facebook page for recruiting. They follow their employees and then share what they share (if it is interesting) on their company page.
Anybody who has read this blog before knows that I have some longstanding issues with Facebook. As a company I wouldn’t put all my eggs in the so-called free basket of a company that is notorious for changing their policies and their functionality at their whim. I also don’t find it decent to make your prospective employees (or even customers) pay with their data for the data and functionality that you are getting. I tried to argue these points in the session, but they seemed to fall to deaf ears mostly. The “dark side” of social technologies weren’t mentioned in any deep way during the day actually except for one fleeting reference to LinkedIn’s scary practices.
About this type of unconference format
Sitting in a circle without slides definitely leads to much better conversations. I wish more conferences had much larger parts of them organized in this way. The one things I did notice is that I have a hard time with the fact that it is perfectly normal to switch tracks mid-way. I personally can’t do it (I also finish books I dislike) and was distracted by people leaving mid-sentence. I do understand why allowing this is essential to making the format work. One other thing that was wonderful was how refreshingly non-commercial the whole thing was. You really had to put effort into finding out who worked for what vendor.
Tru actually seems to have turned itself into a very active and connected community with all angles of recruitment covered. I will definitely attend another one.
My open questions
After the full day I was left with a few open questions on the topic of recruitment:
- Everybody seemed to think that it is necessary to have recruiters (I guess that is what I would think if I was a recruiter myself), but doesn’t the technology disintermediate the recruiter? How is the profession changing in reaction? We didn’t have any solid discussions on this topic.
- What is a proper typology for recruitment? The directionality was barely ever addressed directly. What types of recruiters exist?
- There is a lot of talk about “employer brand”, but there was no talk about changing the company to attract different staff. If you want better people, shouldn’t just be a better place to work? Seems like common sense to me.
- Are we indeed moving from a discoverability problem to a selection problem?
As always curious to hear your thoughts!
Learning. Who is responsible?
A hero: Ivan Illich
Just now I delivered a keynote at the 20th Annual Israeli Learning Conference. I was there at the kind invitation of HR Israel and Amir Elion.
My talk was pitched as follows:
Over the next few years the role of the learning organization will shift, moving away from the current focus on course and curriculum design. Two new responsibilities will appear: 1. Supporting individuals with their self-directed learning and 2. Creating behavioral change interventions for smaller and larger teams. Hans de Zwart will take a fresh perspective on the underlying causes of this shift (like the increasing percentage of knowledge workers or the easy availability of global virtual collaboration tools), he wil give a wide and historical range of examples of existing “do-it-yourself” learning and he will share his thoughts on what this means for you as an HR professional.
I have come to believe that SlideShare is fundamentally broken, so while WordPress.com is hopefully working on providing the ability to show PDF files inline in my posts I’ve decided to just post a PDF version of my slides online.
The slides can be downloaded here (or here for a Dutch version)
The talk was divided into three parts:
Why is DIY Learning relevant?
Firstly I showed that the accelerating change of pace is not just a cliché, but that technology actually does progress exponentially. I showed some of Kurzweil’s graphs to back this up.
This means that we are increasingly living in a complex world. According to the Cynefin framework the sensible approach to problems in the complex domain is to first probe, then sense and finally respond. This aligns nicely with Peter Drucker’s definition of the knowledge worker who necessarily is solely responsible for their own productivity: they are the only ones who can understand their own job. For me a logical consequence of this is that you cannot create a learning curriculum for a knowledge worker. With the increasing mobility of labour, you could even argue that businesses will not want to invest in training a knowledge worker but that they will just assume competence.
Next I talked about Ivan Illich and his book Deschooling Society. We are institutionalizing students through the school system. We mistake teaching for learning and diplomas/certificates for competence. Illich’ solution is radical: to replace school with what he calls “learning webs”. He had some very practical ideas about this, that have become easier now that we have the web.
Another reason for DIY learning to come to the forefront is the ubiquity of free (mostly in beer, but also in speech) tools that enable us to connect with each other and organize ourselves. It is simple to set up your own website with something like WordPress.com and tools like Google+ (hangouts!), Facebook and Twitter are amazing in enabling people to take charge of their learning.
Examples of DIY Learning
I shared a set of examples of existing DIY learning efforts from a wide variety of fields.
The first example was from the European Juggling Convention in Lublin. People organized workshops there by using a simple central board and a set of activity templates.
Sugatra Mitra realizes that there aren’t enough good teachers to teach all the children in the world. He is therefore looking for a minimally invasive pedagogy. He has found a simple method: give groups of children a computer with access to the web, ask them an interesting question, leave them alone (maybe give them a bit of “granny pedagogy” support) and come back to find that the children have learned something. Do check out his wiki on Self Organising Learning Environments (SOLEs).
The original Massive Open Online Courses or MOOCs (as first run by Stephen Downes, George Siemens and others, now known as cMOOCs) are great examples of learning in a decentralized fashion.
Open Space technology (with its four principles and a law) is another example of how people can learn in a completely self-organized way.
Yammer groups are a great way for communities of practice to construct knowledge together. Anybody can start a group and these are often on topics that are relevant, but don’t get addressed top-down (an example I know of is a group of Apple users in a Microsoft-only company sharing knowledge with each other on how to use Apple products in that situation).
Dale Stephens has shown that there are alternatives to a formal college education with his Uncollege platform.
The reading group I organized in 2010 was the final example I used of a group of people getting together to learn something.
What should you (= HR) do?
All of this means the role of the HR Learning department will need to change. I see three imperatives:
- It is crucial to devolve the responsibility for learning to the learner. Stop accepting their “learned helplessness” and stimulate everybody to become truly reflective practitioners.
- Make sure to provide scaffolding. You should build things that will make it easier for the learners to build their own things. This only works if your approach is very open. Both for the learning materials (think Creative Commons and OER Commons) and for who can join. Efforts should be across organizations and across businesses. Don’t accept the naive (layman’s) idea which always seems to equate learning with content. Instead focus on designing learning experiences. Nurture any communities of practice and invest time in moderation.
- Finally, change the unit of intervention. You should never focus on the individual anymore. The unit of change is now the team (at minimum).
Notes
I’ve used the fabulous Pinpoint to create this presentation. This allows me to just get a set of image files and write the presentation in a very simple text based format. The PDF output doesn’t quite look like I’d want it to. Does anybody know whether it is possible to set the width/height ratio of the PDF export (4:3 rather than 16:9)?
I started collecting the licenses for each of the images in the slidepack so that I could attribute them correctly (find my incomplete list here). At some point I just couldn’t be bothered anymore. My blog is just too insignificant and I really do believe I can have more positive impact on this world by doing something (anything!) different with my time. If your picture is used and you are very disgruntled then I would be more than happy to make amends.
Reflecting on South by Southwest (SxSW) 2012
SxSW: The Place to Be (photo CC-licensed by Debbs)
It has been a few months since I attended SxSW in Austin. Time to do a bit of reflection and see which things have stuck with me as major takeaways and trends to remember.
Let me start by saying that going there has changed the way I think about learning and technology in many tacit ways that are hard to describe. That must have something to do with the techno-optimism, the incredible scale/breadth and the inclusive atmosphere. I will definitely make it a priority to go there again. The following things made me think:
Teaching at scale
One thing that we are now slowly starting to understand is how to do things at scale. Virtualized technology allows us to cooperate and collaborate in groups that are orders of magnitude larger than groups coming together in a physical space. The ways of working inside these massive groups are different too.
Wikipedia was probably one of the first sites that showed the power of doing things at this new scale (or was it Craigslist?). Now we have semi-commercial platforms like WordPress.com or hyper-commercial platforms like Facebook that are leveraging the same type of affordances.
The teaching profession is now catching on too. From non-commercial efforts like MOOCs and the Peer 2 Peer university to initiatives springing from major universities: Stanford’s AI course, Udacity, Coursera, MITx to the now heavily endowed Khan Academy: all have found ways to scale a pedagogical process from a classroom full of students to audiences of tens of thousands if not hundreds of thousands. They have now even become mainstream news with Thom Friedman writing about them in the New York Times (conveniently forgetting to mention the truly free alternatives).
I don’t see any of this in Corporate Learning Functions yet. The only way we currently help thousands of staff learn is through non-facilitated e-learning modules. That paradigm is now 15-20 years old and has not taken on board any of the lessons that the net has taught us. Soon we will all agree that this type of e-learning is mostly ineffectual and thus ultimately also non-efficient. The imperative for change is there. Events like the Jams that IBM organize are just the beginning of new ways of learning at the scale of the web.
Small companies creating new/innovative practices
The future of how we will soon all work is already on view in many small companies around the world. Automattic blew my mind with their global fully distributed workforce of slightly over a hundred people. This allows them to truly only hire the best people for the job (rather than the people who live conveniently close to an office location). All these people need to start being productive is a laptop with an Internet connection.
Automattic has also found a way to make sure that people feel connected to the company and stay productive: they ask people to share as much as possible what it is they are doing (they called it “oversharing”, I would call it narrating your work). There are some great lessons there for small global virtual teams in large companies.
The smallest company possible is a company of one. A few sessions at SxSW focused on “free radicals”. These are people who work in ever-shifting small project groups and often aren’t very bounded to a particular location. These people live what Charles Handy, in The Elephant and The Flea, called a portfolio lifestyle. They are obviously not on a career track with promotions, instead they get their feedback, discipline and refinement from the meritocratic communities and co-working spaces they work in.
Personally I am wondering whether it is possible to become a free radical in a large multinational. Would that be the first step towards a flatter, less hierarchical and more expertise-based organization? I for one wouldn’t mind stepping outside of my line (and out of my silo) and finding my own work on the basis of where I can add the most value for the company. I know this is already possible in smaller companies (see the Valve handbook for an example). It will be hard for big enterprises to start doing this, but I am quite sure we will all end up there eventually.
Hyperspecialization
One trend that is very recognizable for me is hyperspecialization. When I made my first website around 2000, I was able to quickly learn everything there was to know about building websites. There were a few technologies and their scope was limited. Now the level of specialization in the creation of websites is incredible. There is absolutely no way anybody can be an expert in a substantial part of the total field. The modern-day renaissance man just can’t exist.
Transaction costs are going down everywhere. This means that integrated solutions and companies/people who can deliver things end-to-end are losing their competitive edge. As a client I prefer to buy each element of what I need from a niche specialist, rather then get it in one go from somebody who does an average job. Topcoder has made this a core part of their business model: each project that they get is split up into as many pieces as possible and individuals (free radicals again) bid on the work.
Let’s assume that this trends towards specialization will continue. What would that mean for the Learning Function? One thing that would become critical is your ability to quickly assess expertise. How do you know that somebody who calls themselves and expert really is one? What does this mean for competency management? How will this affect the way you build up teams for projects?
Evolution of the interface
Everybody was completely focused on mobile technology at SxSW. I couldn’t keep track of the number of new apps I’ve seen presented. Smartphones and tablets have created a completely new paradigm for interacting with our computers. We have all become enamoured with touch-interfaces right now and have bought into the idea that a mobile operating system contains apps and an appstore (with what I like to call the matching “update hell”).
Some visionaries were already talking about what lies beyond the touch-based interface and apps (e.g. Scott Jenson and Amber Case. More than one person talked about how location and other context creating attributes of the world will allow our computers to be much smarter in what they present to us. Rather than us starting an app to get something done, it will be the world that will push its apps on to us. You don’t have to start the app with the public transport schedule anymore, instead you will be shown the schedule as soon as you arrive at the bus stop. You don’t start Shazam to capture a piece of music, but your phone will just notify you of what music is playing around you (and probably what you could be listening to if you were willing to switch channel). Social cues will become even stronger and this means that cities become the places for what someone called “coindensity” (a place with more serendipity than other places).
This is likely to have profound consequences for the way we deliver learning. Physical objects and location will have learning attached to them and this will get pushed to people’s devices (especially when the systems knows that your certification is expired or that you haven’t dealt with this object before). You can see vendors of Electronic Performance Support Systems slowly moving into this direction. They are waiting for the mobile infrastructure to be there. The one thing we can start doing from today is to make sure we geotag absolutely everything.
One step further are brain-computer interfaces (commanding computers with pure thought). Many prototypes already exist and the first real products are now coming to market. There are many open questions, but it is fascinating to start playing with the conceptual design of how these tools would work.
Storytelling
Every time I go to any learning-related conference I come back with the same thought: I should really focus more on storytelling. At SxSW there was a psychologist making this point again. She talked about our tripartite brain and how the only way to engage with the “older” (I guess she meant Limbic) parts of our brain is through stories. Her memorable quote for me was: “You design for people. So the psychology matters.”
Just before SxSW I had the opportunity to spend two days at the amazing Applied Minds. They solve tough engineering problems, bringing ideas from concept to working prototype (focusing on the really tough things that other companies are not capable of doing). What was surprising is that about half of their staff has an artistic background. They realise the value of story. I’m convinced there is a lot to be gained if large engineering companies would start to take their diversity statements seriously and started hiring writers, architects, sculptors and cineasts.
Open wins again
Call it confirmation bias (my regular readers know I always prefer “open”), but I kept seeing examples at SxSW where open technology beats closed solutions. My favourite example was around OpenStreetMap: companies have been relying on Google Maps to help them out with their mapping needs. Many of them are now starting to realise how limiting Google’s functionality is and what kind of dependence it creates for them. Many companies are switching to Open Street Map. Examples include Yahoo (Flickr), Apple and Foursquare.
Maybe it is because Google is straddling the line between creating more value than they capture and not doing that: I heartily agree with Tim O’Reilly and Doc Searl‘s statements at SxSW that free customers will always create more value than captured ones.
There is one place where open doesn’t seem to be winning currently and that is in the enterprise SaaS market. I’ve been quite amazed with the mafia like way in which Yammer has managed to acquire its customers: it gives away free accounts and puts people in a single network with other people in their domain. Yammer maximizes the virality and tells people they will get more value out of Yammer if they invite their colleagues. Once a few thousand users are in the network large companies have three options:
- Don’t engage with Yammer and let people just keep using it without paying for it. This creates unacceptable information risks and liability. Not an option.
- Tell people that they are not allowed to use Yammer. This is possible in theory, but would most likely enrage users, plus any network blocks would need to be very advanced (blocking Yammer emails so that people can’t use their own technology to access Yammer). Not a feasible option.
- Bite the bullet and pay for the network. Companies are doing this in droves. Yammer is acquiring customers straight into a locked-in position.
SaaS-based solutions are outperforming traditional IT solutions. Rather than four releases a year (if you are lucky), these SaaS based offerings release multiple times a day. They keep adding new functionality based on their customers demands. I have an example of where a SaaS based solution was a factor 2000 faster in implementation (2 hours instead of 6 months) and a factor 5000 cheaper ($100 instead of $500,000) than the enterprise IT way of doing things. The solution was likely better too. Companies like Salesforce are trying very hard to obsolete the traditional IT department. I am not sure how companies could leverage SaaS without falling in another lock-in trap though.
Resource constraints as an innovation catalyst
One lesson that I learned during my trip through the US is that affluence is not a good situation to innovate from. Creativity comes from constraints (this is why Arjen Vrielink and I kept constraining ourselves in different ways for our Parallax series). The African Maker “Safari” at SxSW showed what can become possible when you combine severe resource constraints with regulatory whitespace. Make sure to subscribe to Makeshift Magazine if you are interested to see more of these type of inventions and innovations.
I believe that many large corporations have too much budget in their teams to be really innovative. What would it mean if you wouldn’t cut the budget with 10% every year, but cut it with 90% instead? Wouldn’t you save a lot of money and force people to be more creative? In a world of abundance we will need to limit ourselves artificially to be able to deliver to our best potential.
Education ≠ Content
There is precious few people in the world who have a deep understanding of education. My encounter with Venture Capitalists at SxSW talking about how to fix education did not end well. George Siemens was much more eloquent in the way that he described his unease with the VCs. Reflecting back I see one thing that is most probably at the root of the problem: most people still equate education/learning to content. I see this fallacy all around me: It is the layperson’s view on learning. It is what drives people to buy Learning Content Management Systems that can deliver to mobile. It is why we think that different Virtual Learning Environments are interchangeable. This is why we think that creating a full curriculum of great teachers explaining things on video will solve our educational woes. Wrong!
My recommendation would be to stop focusing on content all together (as an exercise in constraining yourself). Who will create the first contentless course? Maybe Dean Kamen is already doing this. He wanted more children with engineering mindsets. Rather than creating lesson plans for teacher he decided to organise a sport- and entertainment based competition (I don’t how successful he is in creating more engineers with this method by the way).
That’s all
So far for my reflections. A blow-by-blow description of all the sessions I attended at SxSW is available here.
Why I Have Deleted my Facebook Account
Arjen Vrielink and I write a monthly series titled: Parallax. We both agree on a title for the post and on some other arbitrary restrictions to induce our creative process. Some people would consider Facebook a threat to the open Internet (e.g. Tim Berners-Lee), whereas other people see it as a key tool for promoting democracy in this world (e.g. Wael Ghonim). We decided to each argue both sides of the argument (300 words “for” and 300 words “against”) and then poll our readers to see which argument they find more persuasive. You can read Arjen’s post with the same title here.
Facebook or no Facebook?
For a couple of months now my pragmatic side has been battling with my principled conscience. The matter of contention: whether to keep my Facebook account.
Why I will delete my Facebook account
There are three main problems with Facebook:
- It creates a silo-ed version of the web . A big reason why the web works is the way you can link to other pages on the web: you don’t need anybody’s permission. The Berners-Lee video that I linked to earlier gives some great arguments about why this is important. Facebook is a closed silo from this perspective, creating an alternative network that does not have the same characteristics as the Internet. For some young people around me, the web (if not computing) is nearly synonymous with Facebook: they hardly leave the Facebook browser tab. If they do, it is usually to buy something. I am sure that soon you will be able to do that from Facebook too (e.g. Did you know that you can get somebody a Amazon gift certificate to be given to them on their Facebook wall on their birthday which they have registered with Facebook?)
- The social graph is too important to be under the governance of a single commercial US-based company . Knowing how you are connected to other people can lead to powerful applications (see below). In fact, the social experiences that this allows are so important that we would be crazy to accept that all this relational data is in the hands of a company that can do with it whatever they want and might even be forced to share this data with the US government. There is no easy way to migrate this social graph into another system and Facebook displays a very proprietary attitude to it. What would happen if Facebook was forced to stop doing business or would decide to start charging people for their services?
- Their sphere of influence is not transparent and ever-increasing . Facebook is all over the web now. What news site does not have a “Like” button? If you have a Facebook account and you don’t log out after you have used it, then Facebook is able to see the URLs of the pages you are reading, even if you don’t ever click on the like button. Your attention is mined and commercialized by Facebook. Even if you have very restrictive privacy settings your data will be still be given to any third party app that has managed to seduce one of your many Facebook friends. More and more sites are cropping up that will only allow you to log in using the Facebook login mechanism making it harder to use multiple identities the net. Facebook is becoming so pervasive on the net, that it requires tools like Disconnect or Abine’s TACO to make sure you are staying out of their clutches. Does this feel like a positive development in the way that you can use the web?
Why I will not delete my Facebook account
There are a couple of good reasons for me to keep a Facebook account:
- They are past the tipping point . The network effect has come into play. Why should you be on Facebook? Because it is the one and only (global) place where everybody else is! Two years ago I organized a reunion of the very first class I mentored as a teacher. It took weeks of searching using all kinds of media before we got about 50% of the class together. This year we are doing another reunion: within a week we found 95% of the class on Facebook. Facebook facilitates this so-called ambient intimacy with people that you don’t regularly see or talk to, but still want to stay in touch with. What other means of communications has transaction costs that are this low?
- They deliver an incredibly innovative service. Facebook deserves a lot of credit for the ideas that they have implemented and for the pace at which they keep innovating their mind-blowingly large scale service. They were the first company that decided to create a web platform for which third parties could write applications, they were the first to see and deliver on the true power of the social graph (turning it inside-out) and they have been creative in the way that they appropriate and add to ideas about activity streams, sharing in groups and even privacy controls (what other web service gives you that level of control over what you want to share?). For somebody like me, fascinated if not captivated by technology and looking through an innovation lens, there is an immense amount over ever-changing functionality to explore.
- Having a centralized social graph leads to powerful applications. The first time I realized this was when I played Bejeweled on my iPhone. It allowed me to connect to my Facebook account and suddenly I wasn’t playing against other people at Internet scale (how can anyone score 20.000 points?!), but I was engaged in battles with family, friends and colleagues. Soon there will be a time where every piece of content we consume (books, news, magazines, videos, podcast) will be enriched by this meta-layer of your friends opinions. I call this the social contextualization of content. Facebook’s integration with Pandora was one of the first examples of how this will work. This meta-layer assumes a persistent social graph: you don’t want to keep finding your different groups of relations again and again do you?
Anyway, for me it is clear: I don’t want to be a part of Facebook’s success and would prefer it if we all would be using a differently architected solution in the near future. Fully decentralized and distributed systems are in the making everywhere (e.g. Diaspora, Pagekite, StatusNet, Unhosted and Buddycloud) and I will invest some time to explore those further. As I also personally get very little value out of Facebook, it is not hard to act principled in this case: I will be deleting my account.
Update on 10-11-2012: As I still don’t have a Facebook account I’ve deciced to change the title of this post.
So what did I learn at Online Educa 2010?
Photo by David Ausserhofer (CC licensed)
For the third year in row I attended the Online EDUCA in Berlin. This learning technology event is attended by more than 2000 people from over a hundred countries. The timing and the location of the event are ideal: it is a sweet train journey away from Amsterdam and the end of the year is good time for reflecting on the past year and looking forward to the next. This year’s snow definitely added to its charm!
This post has some of my chronological notes, reflections, vendor descriptions and random thoughts on the conference. My apologies for its length (check out my tweets about the event for a much shorter and more random summary).
STELLAR
My first stop of the conference was the STELLAR stand, among other things creators of the Teleurope website. Caroline Windrum wanted to get some input for her session later in the conference. She was looking for ideas on how to bridge the gap between academic research institutions and commercial businesses. What things could universities do and what could corporations do differently to make these partnerships more successful? I have written before on the gap that I perceive between the academic and the corporate world. One thing that I think universities could do is to “productize” more. Businesses want to buy finished products, they are not comfortable buying something that is still maturing. Many businesses do not want to be early adopter in areas that are not their core competence. If universities could make it easier for their young researchers (i.e. students) to start a business and start shipping products it would be helpful.
Opening plenary
The opening plenary session had three speakers. Talal Abu-Ghazaleh, chairman of the UN Global Alliance, shared some of his thoughts on education (one of the eight Millenium Development Goals). He wanted us all to check out the MDG enabler, a “GPS” for development that will be launched halfway December. The GPS actually turned out to be an oft-used metaphor in the conference. Clark Quinn called the GPS an excellent example of mobile performance support and A New Spring prominently features a GPS in their marketing materials.
Next in line was Adrian Sannier from Pearson (a sponsored keynote). He is one of those speakers that shouts at his audience to try and convey his excitement. Luckily for us he did not cross the Steve Ballmer line. His opening question was whether we are disappointed in the future. Isn’t it shocking that after all these years of talking about it we still have not managed to fundamentally change education? According to Sannier, we now have three technological superpowers that should change the way we learn:
- We are telepathic as we can instantly transmit our thoughts to other human beings at a distance,
- we now all have photographic memories with perfect fidelity,
- and we have total recall with access to all information everywhere.
These technologies will not change anything unless we have a corresponding change in culture. The “one instructor-one class paradigm” has not yet been broken. Sannier implored us to work toward three cultural changes (“the technology piece is over, it is all about the culture now”):
- Turn education into a team sport. Can you imagine a television show being created by a single person? Why do we accept all these faculty members working completely individually?
- Let’s start keeping score. Currently it is ok to look at the results of a student, but not of a faculty member.
- Fix what is broken. We have been sensitive for many years, now it is time to get agressive.
Sannies speech ended with “Step forward and make the culture change, feel the love, thank you very much”. Although the message was quite simplistic in many ways, the emphasis on culture was something that came back again and again during the conference. More on that below (in the paragraph on Bersin).
The final speaker of the session was former Financial Times editor and consultant on innovation and strategy Charles Leadbeater. His talked was titled “Learning from the Extremes”. According to him the route to radical innovation is not starting at the best and then copying that. “Radical innovation usually comes from the margins: social entrepreneurs and the hardest to reach.” As your vantage point determines what you can see he decided to travel the world and go where the need is the greatest and the resources the least. There were three things he learned from his travels:
- Everywhere he went people told him: education + technology = hope
- Everywhere he went education was like a religion (there is global belief in education
- All around the world everyone accepts that education is dysfunctional
So how can this be changed? There are two types of innovation (sustaining and disruptive) and two educational domains (formal and informal). They produce four ways forward:
Four ways to innovate
It is relatively easy and essential to improve education, but it is not enough. We can also reinvent: there are many examples of new types of schools whose teaching philosophies can generally be summarised as “Learning with and by and not to and from”. One of the obstacles of this approach is that it is very important what happens outside of school too. This leads to a supplemental strategy where schools are working with communities and where social and emotional conditions for learning are also looked at. The most promising way to innovate is the transformation to entirely new ways (here Leadbeater mentions Mitra’s infamous hole in the wall experiment). The characteristics of these new ways are:
- Pull not push
- Motivation is key: extrinsic and intrinsic
- Learning through… (not schools, but things like music)
- Different people, technologies, places for learning
He then focused on the learning habitats of the future using another interesting conceptual model. The future can be high on systems or low on systems and these systems can have high empathy or low empathy. Some examples:
Empathy and systems
Highly systematic and higly empathetic are where we want to be, allowing us to finally deliver intimacy at scale.
Presentations 2Go
The lecture capturing outfit Presentations 2Go had a strong presence at the event. They demonstrated their next version of the software and provided a live-stream of the plenary sessions and many of the sessions in the business track. You can view the captured version of these talks here.
Tobbi eye tracking hard- and software
Tobii demo-ed their hard- and software solution for tracking people’s interactions with a screen through watching their eyes. In the past people had to have their face strapped into an immobile position for the hardware to determine where somebody was looking. Now this can be done completely dynamically. I sat in front of a screen which immediately picked up my eyes as two green dots. I closed my left eye and one dot was gone. After a calibration exercise I had to do a little test. Tobii’s software allows you to create tests with certain tasks (like looking at a webpage, or answering a question). The results of multiple test subjects can be aggregated to create heat map like overlays of where people looked at what microsecond.
This type of technology is hugely useful, but not often used in the educational world. Education is opinion-driven, not data-driven and that is a real shame. I would love for big IT projects to not only do “testing” against the business requirements, but also do UX testing with these types of technologies. The technology isn’t cheap: a simple 60Hz setup starts at around €25.000.
Social contextualization of content
Online EDUCA allows people to organize Special Interest Group (SIG) lunches. I was the host of one about the “Social Contextualisation of Content”. Recent developments like Facebook’s opening of the social graphs of their users and Amazon’s aggregated Kindle highlights have shown me very clearly that all our interactions with any type of content (books, magazines, videos and also learning content) will soon be augmented by a social layer. The first time I noticed the power of this idea was when I logged into Facebook while playing the Bejewelled iPhone game: suddenly I wasn’t trying to beat global highscores (how the hell can they score that 50 times as high as me), instead I was trying to beat my family and friends. In a world where Google will be gamed, what is more useful than knowing the thoughts of your friend and colleagues about products, ideas and information?
The lunch unfortunately did not really progress my ideas on this topic, but Olaf Dierker from the TeleLearn-Akademie did have some interesting examples of large US-based publishers who are creating social networks around course books. I’ll update this post with some URLs as soon as I get them from Olaf.
Improving business impact using mobile learning
This was a very full session. Mobile learning apparently is a topic that is on many people’s minds. First up was Erica Wadley from Microsoft. She was in a situation where there were endless amounts of 60-90 minute online courses that could only be accessed by turning on a corporate laptop, logging in, going to the Learning Management System, logging in again and searching for the course you need. Her audience was incredibly mobile and busy. They wanted access anywhere and anytime. She aligned her effort to go to a mobile solution with an internal effort to create a YouTube-like site for Microsoft. The videos from this site can be pushed to any mobile device.
Making this a successful change did require a big culture change (see, there it is again!). She branded her project strongly, did a lot of evangelising and educated people on how to create and use these materials. She created reward programs for usage of the system and found early adopters (“look for the bloggers”) who she equipped with a fourty dollar “podcasting in a box” kit. The results? 70% of the content is now built by the right people and she showed a very impressive graph with the uptake of mobile content consumption versus traditional elearning consumption. Proofing ROI therefore wasn’t a hard question.
One other idea I picked up from Erica was to have a newsletter that consists of nothing but pictures. A nice challenge that I might pick up whenever next I have send something out.
Adam Salkeld from Tinopolis talked about a mobile course his company had made teaching people some soft-skills around communication. They relied heavily on well produced and very funny videos (which ironically for a media production company didn’t play from his slides). He shared some of their lessons around the difficulties of trying to make it the same for every platform (in the end they dropped the Blackberry) and advised us to keep it simple when in doubt.
Clark Quinn, author of the forthcoming Designing mLearning book, gave a much more conceptual talk titled “Harnessing Magic, mLearning for Business Impact”. All mobile devices share the fact that they are a computing device that can have inputs, have output, are connected and have sensors. Mobile devices are accessed way more in a single day then traditional laptop or desktop computers, but have much shorter session times. When you pick up a device you are accessorizing your brain allowing the four C’s of mobile (content, compute, capture and communicate) to help you in your performance.
Battle of the bloggers
IBM’s Bert De Coutere, author of the fabulous Homo Competens book, kindly invited me as one of the three bloggers (Tom Wanbeke and John Traxler were the others) in this year’s “Battle of the Bloggers” session on the graveyard of learning. His goal was to answer the following question: What are the concepts, theories, best practices or trends in the land of the learning that we will declare dead and send to the heaven or hell they belong in? The voting technology of Shakespeak (a possible interesting alternative to PollEverywhere for interactive real-time audience voting and response) allowed the “Just don’t get the microphone near my face” OEB audience to participate in the discussion.
I think the session was more entertaining than insightful (the three bloggers were probably too like-minded), but we still got very positive responses afterwards. In about an hour we talked about Podcasting for Learning (alive), Mobile Learning Content (alive, with some provisos), Learning Styles (dead), Diplomas and Certification (very much alive) and ADDIE (most of the audience had never heard about this: dead).
Business plenary
Josh Bersin talked about what he calls a “High-Impact Learning Culture”, which according to him is the next “big thing” in corporate training.
First let me state that I have love-hate relationship with companies like Bersin. Many large corporations look to analysts like this for guidance in their decision making processes. They presumably to this to beat their competition. I have a common sense approach to this: if you want to do something better than other companies, you will have to do something different than other companies. By virtue of all companies listening to the same analysts, the analysts have a homogenizing effect. Reading Bersin reports will therefore not drive your innovation. Bersin’s Enterprise Learning and Talent Management 2011: Predictions for the Coming Year – Building the Borderless Workplace is a good example. The ten predictions in there (e.g. “Innovation, Empowerment and Learning Culture Will Become Common Themes for Talent Management and Business Growth”, “Informal and Contineous Learning Will Continue to Transform Corporate L&D, and Will Drive Further Adoption of Internal Social Networking” or “Companies Will Start to Unravel and Replace Their 20-Plus Years of Investment in HRMS Systems – And Evolve to SaaS and More Modern Systems for Core HR Management”) are all very likely to occur in the next year, but the predictions itself should not be underestimated as part of the cause for them becoming the truth. Analysis will show good practice and maybe best practice, but it will not show you next practice (thank you Jay Cross for that last one).
That said, Josh Bersin did deliver a very interesting and engaging talk. He started with the current big focus on innovation as a consequence of the downsizing of the last year or so (my current role is probably a consequence of that) and the real struggle to hire talent while most companies are suffering from the aging of their workforce. He used Chevron as an example: 40% of their workforce have been with the company for more than 25 years and senior production engineers take 5-7 years before they are fully skilled up. How do we bridge that gap?
According to Bersin skill specilization is now driving value. High performing organizations realize they have to have specialists. Accenture for example has a hard time to continue their expansive business model. It is not good enough anymore to train their relatively smart generalists with some business skills and put them to work at a client. Customers now expect to procure world class experts.
He then went on to share an insightful result from his research: development planning is one of the key indicators for good performance (using median revenue per employee as a performance indicator). Real learning and developing is informal. If you ask people how they learned to do their job their answer is always something informal. Bersin sees this as an opportunity for the renaissance of the learning and development profession.
Is it important for organizations to have a true learning culture. Learning culture is the collective set of organizational values, processes and practices that encourages individuals and the organization to contineously increase knowledge, competence and performance. The Bersin team brainstormed and got to 40 practices that are manifestions of culture and correlated these with eight business performance indicators to get some very interesting results. The 40 practices are divided into six “families” of cultural practice:
- Building trust (it is important for people to be able to share what doesn’t work, “knowledge can be shared without political risk”)
- Demonstrating value of learning (you will always find people that are passionate about developing themselves, you have to honour and value that)
- Knowledge sharing (traditional instructional design is too slow for many things)
- Empowering employees (people need to have control over their jobs, autonomy, Microsoft is suffering from these problems currently: people are really confused as to how decisions are made)
- Learning as a process
- Encouraging reflection (giving people time to think about what they have learned)
The five practices with the highest impact are:
- Leaders are open to “bad news”.
- Asking questions is encouraged.
- Decision-making processes are clearly defined throughout the company.
- Employees are frequently given tasks or projects beyond their current knowledge or skill level in order to stretch them developmentally.
- Employees have influence over which job tasks are assigned to them.
The bottom line of the research is that innovation and business success depend heavily on a learning culture. This culture can be built taking the following into account:
- New roles and skills for Learning & Development (content manager, community manager, connection manager, performance consultant)
- New reward and policy systems (promoting and rewarding knowledge sharing)
- Leadership is critical to success (of the 40 practices 33 are owned by line management and senior leadership, only 7 are in the hands of the L&D organization).
I would love to get my hands on this research and study the research methodology. If this is indeed solid, then it should be a huge driver for the ambition to change.
Balancing individual and organization learning
This session was a bit disappointing to me. It was very traditional in its form and the chair did his utmost best to turn it into an ELIG commercial. Some choice quotes:
Paul Hunter told us that individuals are members of various communities both in an out of “work”. Your organisation is a collection of communities. Learning happens in communities across boundaries. Learning happens through individuals bringing their outside community in.
Bersin spoke again about the impending retirement of older workers and senior executives and how this is still a really big problem for companies. He sees an opportunity for stronger alumni networks: allowing people to scale down while still being involved.
Martti Raevaara is Vice President of the Aalto University: where science and art meet technology and business. This is an innovation university built in 3 years. They don’t compete with their salaries, but with an inspiring environment. All curricula must be based on future scenarios and competencies with enough flexibility for new studies.
Carin Martell from Exact Learning Solutions was there “to increase the diversity aspect of the panel” (which I thought was an insensitive and unnecessary statement). Her talk was very much focused on the tool that she was there to promote, but she had one brilliant example that caught my eye: the Bumrungrad Hospital in Bangkok. This hospital has no waiting lists and treats over 500.000 “healthcare tourists” each year. They can only do this by staying at the forefront of medical science. Do yourself a favour and look at their pricelists to realise that we are doing something wrong somewhere.
Working smarter with learning networks
The Internet Time Alliance hosted this session in which they could share their ideas about “working smarter”. For me it is interesting to track the way that their thinking has evolved since last year. Jay Cross does not talk about “learnscapes” anymore, he now calls it “workscapes”. Charles Jennings talks about “real learning” to battle the “conspiracy of convenience”. Harold Jarche links where and how work will be done to the Cynefin framework: anything that is simple is being automated, if the work is complicated the work will be pushed to countries with low labour cost (remember the hospital?). Complex work requires creativity, passion, specialisation and is what we need to start focusing on (this aligns with what Josh Bersin was saying).
Jay Cross then made a very good point: we need to stop judging technology without giving it a try. You cannot have a sensible opinion about something that you haven’t experienced. As an innovation manager that is something that I am convinced of too.
Another interesting concept that I picked up in the session was the “social media cigarette break”. Many organizations don’t allow people access to tools like Facebook and Twitter, cutting people off from their valuable networks. This forces people to take a break from their corporate PC’s and use Twitter on their smartphone in the toilet if they want to find out something quick using their social network. An absurd situation.
At the end of the session I had an interesting chat with Clark Quinn who is a former student of Donald Norman (one of my heroes). We talked about the appaling state of design understanding in the learning function and I shared my feeling that we don’t do enough engineering of the environment of the employee to get the behaviours we want. When we want to change how somebody does their job, we always try to intervene at the level of the individual, rather than in their environment.
Winner of the best learning game
Through Twitter (I wasn’t in the session) I learned that the winner of the best learning game award was Enercities. I have put it on my list of things to look at and might report on it in the near future.
The importance of decent wifi
The Internet connection during the event wasn’t optimal. There were many moments where the wireless connection just wasn’t working for me. I really felt dismembered at those times. How was I to enhance and contexualize the information I was hearing? I cannot be the only one who expects a flawless connection when they come to a conference and I do hope that ICWE will manage to get this sorted next year.
Conclusion
All in all this event has shown that it is worthwile coming back year after year. There is no other way to get connected to as many new ideas and people in such a short time. Where else would one meet the former world champion in Pooh Sticks?
More of the Same: The Web Turns Us Into Mussels
Arjen Vrielink and I write a monthly series titled: Parallax. We both agree on a title for the post and on some other arbitrary restrictions to induce our creative process. In our previous post we tried to argue whether you could engineer serendipity. The conclusion was: no, you cannot engineer serendipity (on the web). In this post we use the same recipe to investigate the corollary: the (social) web is hindering serendipity by clustering and clumping similar information around our web presence based on our online behaviour (e.g. the social graph). You can read Arjen’s post with the same title here.
In my teens I went to a Montessori high school in Amsterdam Zuid. The school is known for its liberal and cultural approach to education. My friends and I all thought we were free thinkers and radicals. It was therefore quite a shock to me when I learned at the college for PE teacher education that not all people had the “VPRO gids” at home and read the “Volkskrant”. It suddenly dawned on me how silo-ed my experience at high school had been and how similar we all were in our drive to be different. Occasionally I get the feeling that I am in a very similar position in my current educational technology profession.
The current toolset on the web helps us find people that are like ourselves, recommends us books that are similar to the ones we have already read and amplifies our existing opinions by aligning them to people who think the same as us. There are no tools to do the opposite: find people who are very different from you or content that gives new perspectives. In this post I would like to give a couple of examples of how the web helps in turning us into mussels (sessile animals that like being close to each other).
Example 1: The concept of RSS and Google Reader
Every day I spent 30 to 60 minutes reading my news feeds through Google Reader. I have subscribed to over 300 feeds and try to not miss any news items from about 100 of them. These feeds are very specific (one of the affordances of RSS is that it can easily be generated based on tags or search words). None of them carry general world news. Instead of reading the Guardian’s most important world news, I read the Guardian news that is tagged with Royal Dutch Shell. Instead of general feeds about the state of education and learning I read the posts of certain learning gurus. This means that on my Google Reader news from the last couple of days there was no way for me to encounter the release of Aung San Suu Kyi (I only learned about it by looking it up just now), whereas I read about Facebook’s new messaging system at least three different times (here, here and here) with very similar perspectives each time.
Google is also willing to suggest some new feeds for me to subscribe to. As of today the first four suggested sources that Google gives me are as follows:
Google's first recommendations
More of the same! Wouldn’t it be way more beneficial for me to be confronted with people, opinions and news that is very different from the things I already know? It seems like there isn’t enough semantic understanding of the things that I am reading to be able to tell me: “You always read news about Shell on the Guardian, the Financial Times usually has a very different perspective”. How far off do you think we are before that becomes a reality?
Example 2: Amazon suggestions
Amazon recommends the book I am already reading
Amazon was one of the first companies that made use of its customer’s behaviour to improve the service to that same customer. When you browse at Amazon they track everything, not just your purchases, but also your browsing history, the links you click, the reviews you read and write, the books you don’t buy and probably how much time you spend doing each of these things. They use this data and correlate it with other people’s data to be able to suggest a couple of books that should interest you.
I haven’t bought at Amazon for a while (I now buy my books at Book Depository as they ship for free), but my current suggestions do include titles like Drive (which I am reading right now), Free and Growing Up Digital (and many other similar titles that I have already read). These books increase my specialization in the field of Internet and educational technology. There is no way for me to try and find books on Amazon that can function as a bridge to other genres.
There also is no way to really browse serendipitously. Like RSS, the categorization of the books is incredibly specific. Much more than in a traditional book store. On Amazon I would be able to go to one of my favourite subjects cognitive psychology (finding more than 8000 titles), whereas in a book store I would have to go to “popular science”. The latter forces me to run into books in fields of science that I wouldn’t usually look at. A book shelve also has a nicer (and faster!) browsing experience: running with a finger past all the books, taking one out and quickly scanning its contents all do not work on Amazon.
Example 3: Anglo-Saxon focus through the English language and through Silicon Valley based innovation
Silicon valley seems to be a village. I listen to Leo Laporte’s podcasts (e.g. This Week in Tech), read TechCrunch, Mashable and ReadWriteWeb and am inundated with news about Facebook, Google, Apple, Microsoft and mobile phone carriers in the US. A lot of the web technology innovation is indeed driven by companies in Silicon valley and innovative start-ups from all over the world flock to California to be successful (see here for an example). But it does leave me wondering whether I am not missing out on a large part of the technium by not being able to read Japanese, Mandarin, German, etc. Through Western (English) media I have learned that Japan has a very specific mobile phone culture. But in all ways I am completely disconnected from it.
To experience how true this is, I would like you to do the following assignment: Use Google to try and find three sites in Japanese about technology culture. Let me know in the comments how that went…
Serendipity 2.0
Arjen Vrielink and I write a monthly series titled: Parallax. We both agree on a title for the post and on some other arbitrary restrictions to induce our creative process. This time we decided to try and find out whether it is possible to engineer serendipity on the web. The post should start with a short (max. 200 words) reflection on what the Internet has meant for serendipity followed by three serendipitous discoveries including a description of how they were discovered. You can read Arjen’s post with the same title here.
There is an ongoing online argument over whether our increasing use of the Internet for information gathering and consumption has decreased our propensity for having serendipitous discoveries (see for example here, here or here). I have worried about this myself: my news consumption has become very focused on (educational) technology and has therefore become very silo-ed. No magazine has this level of specificity, so when I read a magazine I read more things I wasn’t really looking for than when I read my RSS feeds in Google Reader. This is a bit of red herring. Yes, the web creates incredibly focused channels and if all you are interested in is the history of the second world war, then you can make sure you only encounter information about that war; but at the same time the hyperlinked nature of the web as a network actually turns it into a serendipity machine. Who hasn’t stumbled upon wonderful new concepts, knowledge communities or silly memes while just surfing around? In the end it probably is just a matter of personal attitude: an open mind. In that spirit I would like to try and engineer serendipity (without addressing the obvious paradoxical nature of doing that).
Serendipity algorithm 1: Wikipedia
One way of finding serendipity in the Wikipedia is by looking at the categories of a particular article. Because of the many to many relationship between categories and articles these can often be very surprising (try it!). I have decided to take advantage of the many hyperlinks in Wikipedia and do the following:
- Start with the “Educational Technology” article
- Click on the first two links to other articles
- In these articles find two links that look interesting and promising to you
- In each of these four articles pick a link to a concept that you haven’t heard about yet or don’t understand very well
- Read these links and see what you learn
Instructional theory was the first link. From there I went to Bloom’s Taxonomy and to Paulo Freire. Bloom’s Taxonomy took me to DIKW, a great article on the “Knowledge Pyramid” explaining the data-to-information-to-knowledge-to-wisdom transformation. I loved the following Frank Zappa quote:
Information is not knowledge,
Knowledge is not wisdom,
Wisdom is not truth,
Truth is not beauty,
Beauty is not love,
Love is not music,
and Music is the BEST.
Paulo Freire took me to Liberation theology which is is a movement in Christian theology which interprets the teachings of Jesus Christ in terms of a liberation from unjust economic, political or social conditions. This began as a movement in the Roman Catholic church in Latin America in the 1950s-1960s. The paradigmatic expression of liberation theology came from Gutierrez from his book A Theology of Liberation in his which he coined the phrase “preferential option for the poor” meaning that God is revealed to have a preference for those people who are “insignificant”, “unimportant” and “marginalized”.
The second link was Learning theory (education). That led to Discovery learning and Philosophical anthropology. Discovery learning prompted me to read the The Grauer School. This link didn’t really work out. The Discovery learning article had alluded to the “Learn by Discovery” motto with which the school was founded, but the article about the school has no further information. A dead alley on the serendipity trail! Philosophical anthropology brought me to Hylomorphism which is a concept I hadn’t heard of before (or I had forgotten about: I used to study this stuff). It is a philosophical theory developed by Aristotle analyzing substance into matter and form. “Just as a wax object consists of wax with a certain shape, so a living organism consists of a body with the property of life, which is its soul.”
Conclusion: Wikipedia is excellent for serendipitous discovery.
Serendipity algorithm 2: the Accidental News Explorer (ANE)
The Accidental News Explorer
The tagline of this iPhone application is “Look for something, find something else” and its information page has a quote by Lawrence Block: “One aspect of serendipity to bear in mind is that you have to be looking for something in order to find something else.” I have decided to do the following:
- Search for “Educational Technology”
- Choose an article that looks interesting
- Click on the “Related Topics” button
- Choose the most interesting looking topic
- Choose an article that looks interesting
- Click on the “Related Topics” button
- Choose the most interesting looking topic
- Read the most appealing article
The article that looked interesting was an article on Kurzweil educational Systems. The only related topic was “Dallas, Texas”. This brought me to an article on Nowitzki from where I chose “Joakim Noah” as a related topic. The most appealing article in that topic was titled: Who’s better: Al Horford or Joakim Noah?
Conclusion: An app like this could work, but it needs to be a little bit better in its algorithms and sources for finding related news. One thing I noticed about this particular news explorer is its complete US focus, you always seem to go to cities and then to sports or politics.
Serendipity algorithm 3: Twitter
Wikipedia allows you to make fortunate content discoveries, Twitter should allow the same but then in a social dimension. Let’s try and use Twitter to find interesting people. I have decided to do the following:
- Search for a the hashtag “#edtech”
- Look at the first three people who have used the hashtag and look at their first three @mentions
- Choose which of the nine people/organizations is the most to follow
- Follow this person and share/favourite a couple of tweets of this person
So the search brought me to @hakan_sentrk, @ShellTerrell and @briankotts. These three mentioned the following nine Twitter users/organizations:
- @mike08, ESP teacher; ICT consultant; e-tutor
- @MsBarkerED, Education Major, Michigan State University, Senior, Aspiring Urban Educator, enrolled in the course CEP 416
- @jdthomas7, educational tech/math coach, former math, computer teacher. former director of technology at a local private school. specializing in tech/ed integration
- @ozge, Teacher/trainer, preschool team leader, coordinator of an EFL DVD project, e-moderator, content & educational coordinator of Minigon reader series, edtech addict!
- @ktenkely, Mac Evangelist, Apple Fanatic, Technology Teacher, classroom tech integration specialist, Den Star, instructional coach
- @Parentella, Ever ask your child: What happened at school today? If so, join us.
- @Chronicle, The leading news source for higher education.
- @BusinessInsider, Business news and analysis in real time.
- @techcrunch, Breaking Technology News And Opinions From TechCrunch
I decided to follow @ozge who seems to be a very active Twitter user posting mostly links that are relevant to education.
Conclusion: the way I set up this algorithm did not help in getting outside of my standard community of people. I was already following @ShellTerrell for example. I probably should have designed a slightly different experiment, maybe involving lists in some way (and choosing an a-typical list somebody is on). That might have allowed me to really jump communities, which I didn’t do in this case.
There are many other web services that could be used in a similar fashion as the above for serendipitous discovery. Why don’t you try doing it with Delicious, with Facebook, with LinkedIn or with YouTube?
Notes and Reflections on Day 2 and 3 of I-KNOW 2010
I-KNOW 2010
These are my notes and reflections for the second and third days of the 10th International Conference on Knowledge Management and Knowledge Technologies (I-KNOW 2010).
Another appstore!
Rafael Sidi from Elsevier kicked of the second day with a talk titled “Bring in ‘da Developers, Bring in ‘da Apps – Developing Search and Discovery Solutions Using Scientific Content APIs” (the slightly ludicrous title was fashioned after this).
He opened his talk with this Steve Ballmer video which, if I was the CIO of any company, would seriously make me reconsider my customer relationship with Microsoft:
(If you enjoyed that video, make sure you watch this one too, first watch it with the sound turned off and only then with the sound on).
Sidi is responsible for Elservier’s SciVerse platform. He has seen that data platforms are increasingly important, that there is an explosion of applications and that people work in communities of innovation. He used Data.gov as an example: it went from 47 sources to 220,000+ sources within a year’s time and has led to initiatives like Apps for America. We need to have an “Apps for science” too. Our current scientific platforms make us spend too much time gathering instead of analysing information and none of them really understand the user’s intent.
The key trends that he sees on the web are:
- Openness and interoperability (“give me your data, my way”). Access to APIs helps to create an ecosystem.
- Personalization (“know what I want and deliver results on my interest”). Well known examples are: Amazon, Netflix and Last.fm
- Collaboration & trusted views (“the right contacts at the right time”). Filtering content through people you trust. “Show me the articles I’ve read and show me what my friends have right differently from me”. This is not done a lot. Sidi didn’t mention this but I think things like Facebook’s open API are starting to deliver this.
So Elsevier has decided to turn SciVerse, the portal to their content, into a platform by creating an API with which developers can create applications. Very similar to Apple’s appstore this will include a revenue sharing model. They will also nurture a developers community (bootstrapping it with a couple of challenges).
He then demonstrated how applications would be able to augment SciVerse search results, either by doing smart things with the data in a sidebar (based on aggregated information about the search result) or by modifying a single search result itself. I thought it looked quite impressive and thought it was a very smart move: scientific publishers seem to be under a lot of pressure from things like Open Access and have been struggling to demonstrate their added value in this Internet world. This could be one way to add value. The reaction from the audience was quite tough (something Sidi already preempted by showing an “I hate Elsevier”-tweet in his slides). One audience member: “Elsevier already knows how to exploit the labour of scientists and now wants to exploit the labour of developers too”. I am no big fan of large publisher houses, but thought this was a bit harsh.
Knowledge Visualization
Wolfgang Kienreich demoed some of the knowledge visualization products that the Know-Center has developed over the years. The 3D knowledge space is not available through the web (it is licensed to a German encyclopedia publisher), but showed what is possible if you think hard about how a user should be able to navigate through large knowledge collections. Their work for the Austrian Press Agency is available online in a “labs” evironment. It demonstrates a way of using faceted search in combination simple but insightful visualizations. The following example is a screenshot showing which Austrian politicians have said something about pensions.
APA labs faceted visual search
I have only learned through writing this blog post that Wolfgang is interested in the Prisoner’s Dilemma. I would have loved to have talked to him about Goffman’s Expression games and what they could mean for the ways decisions get made in large corporations. I will keep that for a next meeting.
Knowledge Work
This track was supposed to have four talks, but one speaker did not make it to the conference, so there were three talks left.
The first one was provocatively titled “Does knowledge worker productivity really matter?” by Rainer Erne. It was Drucker who said that is used to be the job of management to increase the productivity of manual labour and that is now the job of management to make knowledge workers more productive. In one sense Drucker was definitely right: the demand for knowledge work is increasing all the time, whereas the demand for routine activities are always going down.
Erne’s study focuses on one particular part of knowledge workers: expert work which is judgement oriented, highly reliant on individual expertise and experience and dependent on star performance. He looked at five business segments (hardware development, software development, consulting, medical work and university work) and consistently found the same five key performance indicators:
- business development
- skill development
- quality of interaction
- organisation of work
- quality of results
This leads Erne to belief that we need to redefine productivity for knowledge workers. There shouldn’t just be a focus on quantity of the output, but more on the quality of the output. So what can managers do knowing this? They can help their experts by being a filter, or by concentrating their work for them.
This talk left me with some questions. I am not sure whether it is possible to make this distinction between quantitative and qualitative output, especially not in commercial settings. The talk also did not address what I consider to be the main challenge for management in this information age: the fact that a very good manual worker can only be 2 or maybe 3 times as productive as an average manual worker, whereas a good knowledge worker can be hundreds if not thousands times more productive than the average worker.
Robert Woitsch talk was titled “Industrialisation of Knowledge Work, Business and Knowledge Alignment” and I have to admit that I found it very hard to contextualize what he was saying into something that had any meaning to me. I did think it was interesting that he really went in another direction compared to Erne as Woitsch does consider knowledge work to be a production process: people have to do things in efficient ways. I guess it is important to better define what it is we actually mean when we talk about knowledge work. His sites are here: http://promote.boc-eu.com and http://www.openmodels.at.
Finally Olaf Grebner from SAP research talked about “Optimization of Knowledge Work in the Public Sector by Means of Digital Metaphors”. SAP has a case management system that is used by organisations as a replacement for their paper based system. The main difference between current iterations of digital systems and traditional paper based systems is that the latter allows links between the formal case and the informal aspects around the case (e.g. a post-it note on a case-file). Digital case management systems don’t allow informal information to be stored.
So Grebner set out to design an add-on to the digital system that would link informal with formal information and would do this by using digital metaphors. He implemented digital post-it notes, cabinets and ways of search and his initial results are quite positive.
Personally I am bit sceptical about this approach. Digital metaphors have served us well in the past, but are also the cause for the fact that I have to store my files in folders and that each file can only be stored in one folder. Don’t you lose the ability to truly re-invent what a digital case-management system can do for a company if you focus on translating the paper world into digital form? People didn’t like the new digital system (that is why Grebner was commissioned to do make his prototype I imagine). I believe that is because it didn’t allow the same affordances as the paper based world. Why not focus on that first?
Graz Kunsthaus, photo by Marion Schneider & Christoph Aistleitner, CC-licensed
Knowledge Management and Learning
This track had three learning related sessions.
Martin Wolpers from the Fraunhofer Institute for Applied Information Technology (FIT) talked about the “Early Experiences with Responsive Open Learning Environments”. He first defined each of the terms in Responsive Open Learning Environments:
Responsive: responsiveness to learners’ activities in respect to learning goals
Open: openness for new configurations, new contents and new users
Learning Environment: the conglomerate of tools that bring together people and content artifacts in learning activities to support them in constructing and processing information and knowledge.
The current generation of Virtual Learning Environments and Learning Management Systems have a couple of problems:
- Lack of information about the user across learning systems and learning contexts (i.e. what happens to the learning history of a person when they switch to a different company?)
- Learners cannot choose their own learning services
- Lack of support for open and flexible personalized contextualized learning approach
Fraunhofer is making an intelligent infrastructure that incorporates widgets and existing VLE/LMS functionality to truly personalize learning. They want to bridge what people use at home with what they use in the corporate environment by “intelligent user driven aggregation”. This includes a technology infrastructure, but also requires a big change in understanding how people actually learn.
They used Shindig as the widget engine and Opensocial as the widget technology. They used this to create an environment with the following characteristics:
- A widget based environment to enable students to create their own learning environment
- Development of new widgets should be independent from specific learning platforms
- Real-time communication between learners, remote inter-widget communication, interoperable data exchange, event broadcasting, etc.
He used a student population in China as the first people to try the system. It didn’t have the uptake that he expected. They soon realised that this was because the students had come to the conclusion that use or non-use of the system did not directly affect their grades. The students also lacked an understanding of the (Western?) concept of a Personal Learning Environment. After this first trial he came to a couple of conclusions. Some where obvious like that you should respect the cultural background of your students or that responsive open learning environments create challenges on the technology and the psycho-pedagogical side. Other were less obvious like that using an organic development process allowed for flexibility and for openly addressing emerging needs and requirements and that it makes sense to enforce your own development to become the standard.
For me this talk highlighted the still significant gap that seems to exist between computer scientists on the one side and social scientists on the other side. Trying out Personal Learning Environments in China is like sending CliniClowns to Africa: not a good idea. Somebody could have told them this in advance, right?
Next up was a talk titled “Utilizing Semantic Web Tools and Technologies for Competency Management” by Valentina Janev from the Serbian Mihajlo Pupin Institute. She does research to help improve the transferability and comparability of competences, skills and qualifications and to make it easier to express core competencies and talents in a standardized machine accessible way. This was another talk that was hard for me to follow because it was completely focused on what needs to happen on the (semantic) technical side without first giving a clear idea of what kind of processes these technological solutions will eventually improve. A couple of snippets that I picked up are that they are replacing data warehouse technologies with semantic web technologies, that they use OntoWiki a semantic wiki application, that RDF is the key word for people in this field and that there is thing called DOAC which has the ambition to make job profiles (and the matching CVs) machine readable.
The final talk in this track was from Joachim Griesbaum who works at the Institute of Information Science and Language Technology. The title of his talk must have been the longest in the conference: “Facilitating collaborative knowledge management and self-directed learning in higher education with the help of social software, Concept and implementation of CollabUni – a social information and communication infrastructure”, but as he said: at least it gives you an idea what it is about (slides of this talk are available here, Griesbaum was one of the few presenters that made it clear where I could find the slides afterwards).
A lot of social software in higher education is used in formal learning. Griesbaum wants to focus on a Knowledge Management approach that primarily supports informal learning. To that end he and his students designed a low cost (there was no budget) system from the bottom up. It is called CollabUni and based on the open source e-portfolio solution (and smart little sister of Moodle) Mahara.
They did a first evaluation of the system in late 2009. There was little self-initiated knowledge activity by the 79 first year students. Roughly one-third of the students see an added value in CollabUni and declare themselves ready for active participation. Even though the knowledge processes that they aimed for don’t seem to be self-initiating and self-supporting, CollabUni still shows and stands for a possible low-cost and bottom-up approach towards developing social software. During the next steps of their roll out they will pay attention to the following:
- Social design is decisively important
- Administrative and organizational support components and incentive schemes are needed
- Appealing content (for example an initial repository of term papers or theses)
- Identify attractive use cases and applications
Call me a cynic, but if you have to try this hard: why bother? To me this really had the feeling of a technology trying to find a problem, rather than a technology being the solution to the problem. I wonder what the uptake of Facebook is with his students? I did ask him the question and he said that there has not been a lot of research into the use of Facebook in education. I guess that is true, but I am quite convinced there is a lot use of Facebook in education. I believe that if he had really wanted to leverage social software for the informal part of learning, he should have started with what his students are actually using and try to leverage that by designing technology in that context, instead of using another separate system.
Collaborative Innovation Networks (COINs)
The closing keynote of the conference was by Peter A. Gloor who currently works for the MIT Center for Collective Intelligence. Gloor has written a couple of books on how innovation happens in this networked world. Though his story was certainly entertaining I also found it a bit messy: he had an endless list of fascinating examples that in the end supported a message that he could have given in a single slide.
His main point is that large groups of people behave apparently randomly, but that there are patterns that can be analysed at the collective level. These patterns can give you insight into the direction people are moving. One way of reading the collective mind is by doing social network analysis. By combining the wisdom of the crowd with the wisdom of groups of experts (swarms) it is possible to do accurate predictions. One example he gave was how they had used reviews on the Internet Movie Database (the crowd) and on Rotten Tomatoes (the swarm) to predict on the day before a movie opens in the theatres how much the movie will bring in in total.
The process to do these kinds of predictions is as follows:
COIN cycle
This kind of analysis can be done at a global level (like the movie example), but also in for example organizations by analysing email-archives or equipping people with so called social badges (which I first read about in Honest Signals) which measure who people have contact with and what kind of interaction they are having.
He then went on to talk about what he calls “Collaborative Innovation Networks” (COINs) which you can find around most innovative ideas. People who lead innovation (think Thomas Edison or Tim Berners-Lee) have the following characteristics:
- There are well connected (they have many “friends”)
- They have a high degree of interactivity (very responsive)
- They share to a very high degree
All of these characteristics are easy to measure electronically and thus automatically, so to find COINs you find the people who score high on these points. According to Gloor high-performing organizations work as collaborative innovation networks. Ideas progress from Collaborative Innovation Network (COIN) to Collaborative Learning Network (CLN) to Collaborative Interest Network (CIN).
Twitter is proving to be a very useful tool for this kind of analysis. Doing predictions for movies is relatively easy because people are honest in their feedback. It is much harder for things like stock, because people game the system with their analysis. Twitter can be used (e.g. by searching for “hope”, “fear” and “worry” as indicators for sentiment) as people are honest in their feedback there.
Finally he made a refence in his talk to the Allen curve (the high correlation between physical distance and communication, with a critical distance of 50 meters for technical communication). I am sure this curve is used by many office planners, but Gloor also found an Allen curve for technical companies around his university: it was about 3 miles.
Interesting Encounters
Outside of the sessions I spoke to many interesting people at the conference. Here are a couple (for my own future reference).
It had been a couple of years since I had last seen Peter Sereinigg from act2win. He has stopped being a Moodle partner and now focuses on projects in which he helps global virtual teams in how they communicate with each other. There was one thing that he and I could fully agree on: you first have to build some rapport before you can effectively work together. It seems like such an obvious thing, but for some reason it still doesn’t happen on many occasions.
Twitter allowed me to get in touch with Aldo de Moor. He had read my blog post about day 1 of this conference and suggested one of his articles for further reading about pattern languages (the article refers to a book on a pattern language for communication which looks absolutely fascinating). Aldo is a independent research consultant in the field of Community Informatics. That was interesting to me for two reasons:
- He is still actively publishing in peer reviewed journals and speaking at conferences, without being affiliated with a highly acclaimed research institute. He has written an interesting blog post about the pros and cons of working this way.
- I had never heard of this young field of community informatics and it is something I would like to explore further.
I also spent some time with Barend Jan de Jong who works at Wolters Noordhoff. We had some broad-ranging discussions mainly about the publishing field: the book production process and the information technology required to support this, what value a publisher can still add, e-books compared to normal books (he said how a bookcase says something about somebody’s identity, I agreed but said that a digital book related profile is way more accessible than the bookcase in my living room, note to self: start creating parody GoodReads accounts for Dutch politicians), the unclear if not unsustainable business model of the wonderful Guardian news empire and how we both think that O’Reilly is a publisher that seem to have their stuff fully in order.
Puzzling stuff
There were also some things at I-KNOW 2010 that were really from a different world. The keynote on the morning of the 3rd day was perplexing to me. Márta Nagy-Rothengass titled the talk “European ICT Research and Development Supporting the Expansion of Semantic Technologies and Shared Knowledge Management” and opened with a video message of Neelie Kroes talking in very general terms about Europe’s digital agenda. After that Nagy-Rothengass told us that the European Commission will be nearly doubling its investment into ICT to 11 billion Euros, after which she started talking about the “Call 5″ of “FP7″ (apparently that stands for the Seventh Framework Programme), the dates before which people should put their proposals in, the number of proposals received, etc., etc., etc. I am pro-EU, but I am starting to understand why people can make a living advising other people how best to apply for EU grants.
Another puzzling thing was the fact that people like me (with a corporate background) thought that the conference was quite theoretical and academic, whereas the researchers thought everything was very applied (maybe not enough research even!). I guess this shows that there is quite a schism between universities furthering the knowledge in this field and corporations who could benefit from picking the fruits of this knowledge. I hope my attendance at this great conference did its tiny part in bridging this gap.
Notes and Reflections on Day 1 of I-KNOW 2010
I-KNOW 2010
From September 1-3, 2010, I will attend the 10th International Conference on Knowledge Management and Knowledge Technologies (I-KNOW 2010) in beautiful Graz, Austria. I will use my blog to do a daily report on my captured notes and ideas.
And now for something completely different
In the last few years I have put a lot of effort into becoming a participating member in the global learning technology community. This means that when I visit a “learning” conference I know a lot of the people who are there. At this conference I know absolutely nobody. Not a single person in my online professional network seems to know let alone go to this conference.
One of my favourite competencies in the leadership competency framework of Shell is the ability to value differences. People who master this competency actively seek out the opinion of people who have a different opinion than theirs. There are good reasons for this (see for example Page’s The Difference), and it is one of the things that I would like to work on myself: I am naturally inclined to seek out people who think very much like me and this conference should help me in overcoming that preference.
After the first day I already realise that the world I live and work in is very “corporate” and very Anglo-Saxon. In a sense this conference feels like I have entered into a world that is normally hidden from me. I would also like to compliment the organizers of the conference: everything is flawless (there even is an iPhone app: soon to be standard for all for conferences I think, I loved how FOSDEM did this: publishing the program in a structured format and then letting developers make the apps for multiple mobile platforms).
Future Trends in Search User Interfaces
Marti Hearst has just finished writing her book Search User Interfaces which is available online for free here and she was therefore asked to keynote about the future of these interfaces.
Current search engines are primarily search text based, have a fast response time, are tailored to keyword queries (that support a search paradigm where there is iteration based on these keywords), sometimes have faceted metadata that delivers navigation/organization support, support related queries and in some cases are starting to show context-sensitive results.
Hearst sees a couple of things happening in technology and in how society interacts with that technology that could help us imagine what the search interface will look like in the future. Examples are the wide adoption of touch-activated devices with excellent UI design, the wide adoption of social media and user-generated content, the wide adoption of mobile devices with data service, improvements in Natural Language Processing (NLP), a preference for audio and video and the increasing availability of rich, integrated data sources.
All of these trends point to more natural interfaces. She thinks this means the following for search user interfaces:
- Longer more natural queries. Queries are getting longer all the time. Naive computer users use longer queries, only shortening them when they learn that they don’t get good results that way. Search engines are getting better at handling longer queries. Sites like Yahoo Answers and Stack Overflow (a project by one of my heroes Joel Spolsky) are only possible because we now have much more user-generated content.
- “Sloppy commands” are now slowly starting to be supported by certain interfaces. These allow flexibility in expression and are sometimes combined with visual feedback. See the video below for a nice example.
- Search is becoming as social as possible. This is a difficult problem because you are not one person, you are different people at different times. There are explicit social search tools like Digg, StumbleUpon and Delicious and there are implicit social search tools and methods like “People who bought x, also bought…” and Yahoo’s My Web (now defunct). Two good examples (not given by Hearst) of how important the social aspects of search are becoming are this Mashable article on a related Facebook patent and this Techcrunch article on a personalized search engine for the cloud.
- There will be a deep integration of audio and video into search. This seemed to be a controversial part of her talk. Hearst is predicting the decline of text (not among academics and lawyers). There are enough examples around: the culture of video responses on YouTube apparently arose spontaneously and newspaper websites are starting to look more and more like TV. It is very easy to create videos, but the way that we can edit videos still needs improvement.
- A final prediction is that the search interface will be more like a dialogue, or conversational. This reality is a bit further away, but we are starting to see what it might look like with apps like Siri.
Enterprise 2.0 and the Social Web
Murinsel Bridge in Graz, photo by Flickr user theowl84, CC-licensed
This track consisted of three presentations. The first one was titled “A Corporate Tagging Framework as Integration Service for Knowledge Workers”. Walter Christian Kammergruber, a PhD student from Munich, told us that there are two problems with tagging: one is how to orchestrate the tags in such a way that they work for the complete application landscape, another is the semantic challenge of getting rid of ambiguity, multiple spellings, etc. His tagging framework (called STAG) attempts to solve this problem. It is a piece of middleware that sits on the Siemens network and provides tagging functionality through web services to Siemens’ blogging platform, wiki, discussion forums and Sharepoint sites. These tags can then be displayed using simple widgets. The semantic problem is solved by having a thesaurus editor allowing people define synonyms for tags and make relationships between related tags.
I strongly believe that any large corporation would be very much helped with a centralised tagging facility which can be utilised by decentralised applications. This kind of methodology should actually not only be used for tagging but could also be used for something like user profiles. How come I don’t have a profile widget that I can include on our corporate intranet pages?
The second talk, by Dada Lin, was titled “A Knowledge Management Scheme for Enterprise 2.0″. He presented a framework that should be able to bridge the gap between Knowledge Management and Enterprise 2.0. It is called the IDEA framework in which knowledge is seen as a process, not as an object. The framework consists of the following elements (also called “moments”):
- Interaction
- Documentation
- Evolution
- Adoption
He then puts these moments into three dimensions: Human, Technology and Organisation. Finally he did some research around a Confluence installation at T-Systems. None of this was really enlightening to me, I was however intrigued to notice that the audience focused more on the research methodologies than on the outcomes of the research.
The final talk, “Enterprise Microblogging at Siemens Building Technologies Division: A Descriptive Case Study” by Johannes Müller a senior Knowledge Management manager at Siemens was quite entertaining. He talked about References@BT, a community at Siemens that consists of many discussion forums, a knowledge reference and since March 2009 a microblogging tool. It has 7000 members in 73 countries.
The microblogging platform is build by himself and thus has exactly the features it needed to have. One of the features he mentioned was that it showed a picture of every user in every view on the microblog posts. This is now a standard feature in lots of tools (e.g. Twitter or Facebook) and it made me realise that Moodle was actually one of the first applications that I know that this consistently: another example of how forward thinking Martin Dougiamas really was!.
Müller’s microblogging platform does allow posts of more than 140 characters, but does not allow any formatting (no line-breaks or bullet points for example). This seems to be an effective way of keeping the posts short.
He shared a couple of strategies that he uses to get people to adopt the new service. Two things that were important were the provision of widgets that can be included in more traditional pages on the intranet and the ability to import postings from other microblogging sites like Twitter using a special hash tag. He has also sent out personalised email to users with follow suggestions. These were hugely effective in bootstrapping the network.
Finally he told us about the research he has done to get some quantitative and qualitative data about the usefulness of microblogging. His respondents thought it was an easy way of sharing information, an additional channel for promoting events, a new means of networking with others, a suitable tool to improve writing skills and a tool that allowed for the possibility to follow experts.
Know-Center Graz
During lunch (and during the Bacardi sponsored welcome reception) I had the pleasant opportunity to sit with Michael Granitzer, Stefanie Lindstaedt and Wolfgang Kienreich from the Know-Center, Austria’s Competence Center for Knowledge Management.
They have done some work for Shell in the past around semantic similarity checking and have delivered a working proof of concept in our Mediawiki installation. They demonstrated some of their new projects and we had a good discussion about corporate search and how to do technological innovation in large corporations.
The first project that they showed me is called the Advanced Process- Oriented Self- Directed Learning Environment (APOSDLE). It is a research project that aims to develop tools that help people learn at work. To rephrase it in learning terms: it is a very smart way of doing performance support. The video below gives you a good impression of what it can do:
After APOSDLE they showed me some outcomes from the Mature IP project. From the project abstract:
Failures of organisation-driven approaches to technology-enhanced learning and the success of community-driven approaches in the spirit of Web 2.0 have shown that for that agility we need to leverage the intrinsic motivation of employees to engage in collaborative learning activities, and combine it with a new form of organisational guidance. For that purpose, MATURE conceives individual learning processes to be interlinked (the output of a learning process is input to others) in a knowledge-maturing process in which knowledge changes in nature. This knowledge can take the form of classical content in varying degrees of maturity, but also involves tasks & processes or semantic structures. The goal of MATURE is to understand this maturing process better, based on empirical studies, and to build tools and services to reduce maturing barriers.
Mature
I was shown a widget-based approach that allowed people to tag resources, put them in collections and share these resources and collections with others (more information here). One thing really struck me about the demo I got: they used a simple browser plugin as a first point of contact for users with the system. I suddenly realised that this would be the fastest way to add a semantic layer over our complete intranet (it would work for the extranet too). With our desktop architecture it is relatively trivial to roll out a plugin to all users. This plugin would allow users to annotate webpages on the net creating a network of meta-information about resources. This is becoming increasingly viable as more and more of the resources in a company are accessed from a browser and are URL addressable. I would love to explore this pragmatic direction further.
Knowledge Sharing
Martin J. Eppler from the University of St. Gallen seems to be a leading researcher in the field of knowledge management: when he speaks people listen. He presented a talk titled “Challenges and Solutions for Knowledge Sharing in Inter-Organizational Teams: First Experimental Results on the Positive Impact of Visualization”. He is interested in the question of how visualization (mapping text spatially) changes the way that people share knowledge. In this particular research project he focused on inter-organizational teams. He tries to make his experiments as realistic as possible, so he used senior managers and reallife scenarios, put them in three experimental groups and set them out to do a particular task. There was a group that was supported with special computer based visualization software, another group used posters with templates and a final (control) group used plain flipcharts. After analysing his results he was able to conclude that visual support leads to significant greater productivity.
This talk highlights one of the problems I have with science applied in this way. What do we now know? The results are very narrow and specific. What happens if you change the software? Is this the case for all kinds of tasks? The problem is: I don’t know how scientists could do a better job. I guess we have to wait till our knowledge-working lives can really be measured consistently and in realtime and then for smart algorythms to find out what really works for increased productivity.
The next talk in this talk was from Felix Mödritscher who works at the Vienna University of Economics and Business. His potentially fascinating topic “Using Pattern Repositories for Capturing and Sharing PLE Practices in Networked Communities” was hampered by the difficulty of explaining the complexities of the project he is working on.
He used the following definition for Personal Learning Environments (PLEs): a set of tools, services, and artefacts gathered from various contexts and to be used by learners. Mödritscher has created a methodology that allows people to share good practices in PLEs. First you record PLE interactions, then you allow people to depersonalise these interactions and share them as an “activity pattern” (distilled and archetypical), where people can then pick these up and repersonalise them. He has created a Pattern repository, with a pattern store. It has a client side component implemented as a Firefox extension: PAcMan (Personal Activity Manager). It is still early days, but these patterns appear to be really valuable: they not only help with professional competency development, but also with what he calls transcompentences.
I love the idea of using design patterns (see here), but thought it was a pity that Mödritscher did not show any very concrete examples of shared PLE patterns.
My last talk of the day was on “Clarity in Knowledge Communication” by Nicole Bischof, one of Eppler’s PhD students in the University of St. Gallen. She used a fantastic quote by Wittgenstein early in her presentation:
Everything that can be said, can be said clearly
According to her, clarity can help with knowledge creation, knowledge sharing, knowledge retention and knowledge application. She used the Hamburger Verständlichkeitskonzept as a basis to distill five distinct aspects to clarity: Concise content, Logical structure, Explicit content, Ambiguity low and Ready to use (the first letters conveniently spell “CLEAR”). She then did an empirical study about the clarity of Powerpoint presentations. Her presentation turned tricky at that point as she was presenting in Powerpoint herself. The conclusion was a bit obvious: knowledge communication can be designed to be more user-centred and thus more effective, clarity helps in translating innovation and potential of knowledge and can help with a clear presentation of complex and knowledge content.
Bischof did an extensive literature review and clarity is an underresearched topic. After just having read Tufte’s anti-Powerpoint manifesto I am convinced that there is a world to gain for businesses like Shell’s. So much of our decision making is based on Powerpoint slidepacks, that it becomes incredibly urgent to let this be optimal.
Never walk alone
I am at this conference all by myself and have come to realise that this is not the optimal situation. I want to be able to discuss the things that I have just seen and collaboratively translate them to my personal work situation. It would have been great to have a sparring partner here who shares a large part of my context. Maybe next time?!
What Makes Goodreads a Great Website?
Arjen Vrielink and I write a monthly series titled: Parallax. We both agree on a title for the post and on some other arbitrary restrictions to induce our creative process. This time we decided to write about what makes Goodreads a great website. First we sat together for an hour and used Gobby to collaboratively write a rough draft of the text. Each of us then edited the draft and published the post separately. You can read Arjen’s post with the same title here.
Goodreads.com
What is Goodreads?
Goodreads is Facebook and Wikipedia for readers: a social network of people that love to read books, full of features that readers might like. It allows you to keep many “shelves” with books that can be shared with other people on the site.
Great Features
Here are some of the features (in no particular order) that make Goodreads work so well:
- The site is not only useful when you are a member. Even if you are not logged in it still is a pleasant site to read and browse for book lovers.
- It allows you to keep track of your own, yout friends and “the crowds” books. If you see an interesting book you can put it on your to-read shelf, if a friend reads an interesting book than he or she can recommend it to you.
- Statistics can suggest recommendations based on my shelves, reviews and friends.
- There is a distinction between friends (a symmetric relationship) and followers (an assymetric relationship).
- There is a book comparison feature: it finds the books you have both read and compares the scores you have given to those books.
- It is very easy to invite your friends into the site. You can put in their email address, or you can give Goodreads access to your webmail contacts (sometimes this is a questionable thing, but Goodreads isn’t to pushy (it doesn’t send out Tweets without you knowing it for example)).
- They have a great “universal” search box where you can search books on author, title or isbn from the same field.
- It makes use of Ajax in the right locations, allowing you to update small things (“liking” a review, noting what page you’ve reached, handing out stars to a book) without having to reload the page.
- The user profile page is related to the contents of the webservice: for example, it allows you to say who your favourite authors are.
- The site supports many different ways of viewing and sorting your shelves. You can look at covers or at titles and sort by author, by score, by last update and more.
- Before building a great iPhone app, Goodreads made sure their website had a great mobile version of their website. When you access the website with a mobile browser it automatically redirects to a mobile version of the website, so even if you are accessing the site with your Windows Mobile device you have a great experience.
- Not only is it very easy to put data into the Goodreads ecosystem, it is also very easy to get your data out again. You can download a CSV file with all your books (including the data you added like reviews, date read, your rating and the metadata about the book that Goodreads has added like the ISBN or the average rating). The smart import feature looks at an HTML page (e.g. an Amazon wishlist page) and imports all the ISBNs it can find in the source code of the page. Like any good webservice it imports files that are exported from their competition (Shelfari, Librarything and Delicious library).
- There seems to be an evolving business model. Initially there were only (onubtrusive) adds, but now they are starting to sell e-books, integrating this into the social network.
- Often when you read a book there are sentences or passages which really impress or inspire. Most of the times you then forgot these. Goodreads allows you to favourite and rank (and thus collect) quotes easily by author or by book. You can add and export quotes as well.
- Sharing your Goodreads activity to other important webservices is built in. There are integrations with Facebook, Twitter, WordPress Blogs and MySpace. Goodreads also provides embeddable widgets that you can put on another website (e.g. a box with the most recent books you have read). A simple integration allows you to instantly find a book that you are looking at in Goodreads in your favourite online bookstore. And of course there is the ubiquitous RSS.
- A site like Goodreads get is value from the data that its users put in. Goodreads allows this at many levels. There are trivial ways of adding information (i.e. saying you like a review by clicking a single link, allowing Goodreads to display useful reviews first), but there are also ways of adding information that take slightly more effort. For example, it is fairly easy to get “librarian” status which shows the site trusts their users. As a librarian you can edit existing book entries. A low entrance level is key to crowd sourcing. Another way to involve people is to allow them to add their own trivia that other users can try and answer in trivia games.
- It allows users to flag objectionable content.
- Goodreads has its own blog, keeping you up to date about the latest features and their direction.
- It has an element of competition, you can see how many books are on your shelf and how many books are on other people’s shelf, but there are more metrics: you can see who has written the most popular reviews, your rank among this week’s reviewers, or who has the most followers
- It has a great and open API. This allows other people to build services on top of Goodreads. The potential for this is huge (the very first Goodreads iPhone app was not made by Goodreads itself, but was made by a Goodreads enthousiast) and I don’t think we have seen what will be possible with this yet. A lot of the data that Goodreads collects is accesible through the API in a structured and aggregated form. It should be very easy for other book related sites to incorporate average ratings from Goodreads on their own pages for example.
- It is in continual beta and their design process seems to be iterative: it keeps evolving and adding new features at a high frequency like the recently added stats feature.
My current stats for 2010
- It is easy to delete your account, deleting all your data in the process. This makes for complete transparancy about data ownership, an issue that other sites (Facebook!) have been struggling with lately.
- It has a kind of update stream which let’s you easily keep up to date with your friends, groups and favourite authors status.
- The service has ambitious and lofty goals: “Goodreads’ mission is to get people excited about reading. Along the way, we plan to improve the process of reading and learning throughout the world.” (see here). I do believe that this clear mission has led to many features that wouldn’t have been there otherwise. For example, there is a book swap economy built into the site allowing people to say that they own the book and are willing to swap it for other books. Another book lovers feature are the lists. Anybody can start a list and people can then vote to get books on the list. Examples of list are The Movie was better than the Book or Science books you loved. Another feature are the book events. You can find author appearance, book club meetings, book swaps and other events based on how many miles away you want these to be from a certain city or in a certain country. Of course you can add events yourself, next to the ones that Goodreads imports from other sites, and you can say which events you will attend, plus invite friends to these events.
How Goodreads could improve
As said, Goodreads is continuously changing, there are still some things that require some change in the right direction:
- Ocassionally the site feels a bit buggy. I have had a lot of grief updating the shelves of books using the mobile site with it not doing the things I wanted it do.
- It is not always clear what kind of updates are triggered by an user action. I am not sure what my friends see. Sometimes you find your Facebook Wall flooded with Goodreads updates because your friend found a box of long lost books in the attic which he entered in an update frenzy.
- Usability: Some features are hard to find. Like the new stats feature discussed above, you can only find it hidden away on the bottom left of a page in some obscure menu. Other features are hard to use, requiring many more clicks than are actually necessary.
- They could improve on localisation and on the translations of books. In your profile settings you can select your country, but you cannot select in which languages you are able to read books.
- The graphic design of the site isn’t top notch. When people initially see Shelfari, it might have more appeal just because it looks a tad better.
- In-app mailing or messaging systems are always beyond me. Goodreads also has an “inbox” where you can send mail to and receive mail from your Goodreads friends. I would much rather use my regular mail and use Goodreads as a broker so email addresses can be private.
Some thoughts on the process of writing this post
Gobby is a multi-platform text editor that allows multiple people to work on the same text file in realtime. It uses colours to denote who has written what.
A Gobby Window
This was an experiment to see how it would feel to work like this and whether it would be an efficient and effective way of working together. I thought it was quite successful as we produced a lot of material and helped eachother think: building on the point of the other person. It was helpful to do an initial draft, but it does require some significant editing afterwards. I thought it was interesting to see that you feel no compunction to change the other person’s spelling mistake, but that you feel less free to change the contents of what they are writing.
This time we were sitting opposite each other while writing. In the future it would be interesting (firewalls permitting) to try and do this over a longer distance. Then the unused chat-window might become more useful and important.
You can download the original Gobby file here (it requires Gobby to make sense).
Hopefully this post about Goodreads is an inspiration to anybody who tries to build a social network around a certain theme and remember: if I know you I would love nothing more than to be your Goodreads “friend”.
