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5 ways tech startups can disrupt education

As many theorists of innovation have noted, it’s difficult for mature established fields (and corporations, for that matter) to reinvent themselves. Change often comes from the outside. Once an organization has settled into a revenue stream that provides some security, it’s almost impossible for that organization to adopt approaches that harm or cannibalize that revenue stream (Blockbuster and video rentals, Microsoft and Office). Risk-taking is the domain of young companies and outsiders to a field. ReadWriteWeb presents five ways for tech companies to disrupt education. Suggestions: it should be free(mium), grassroots, 21st century learning & teaching, use open content, be open source. Can’t say I see that as being sufficient to disrupt education. Any solution that does that would need to:

1. Be based on a unit of influence that is at the control of each individual (i.e. connections not networks)
2. Scale social interactions (not only content) so large network learning occurs, but in a way that permits various group/collective sizes
3. Promote and benefit from learner autonomy, helping learners to building skills and capacity for ongoing learning
4. Use distributed, decentralized technical infrastructure (p2p not centralized)
5. Extensively use learning analytics, preferably blurring physical and virtual interactions
6. Use curriculum intelligently (linked data/semantic web) in order to provide learners with personal and adaptive paths
7. Allow information splicing so that flows can be adjusted and organized to reflect different learning and social tasks
8. Enable easy variance of contexts – or as my colleague Jon Dron states – “context switching”.
9. Offer varying levels of support and structure, under the control of the learner. If a subject is too challenging, learners can choose a structured learning path. Or, if learners prefer greater autonomy, more flexible paths can be adopted.
10. The system needs to learn from the learners (Hunch is a good example)
11. Integrate activities from various services so learners can centrally interact with data left in other services (Greplin)
12. Provide learners with the tools to connect and form learning networks with others in a course and across various disciplines (diversity exposure to ideas and connections needs to be intentional)

What are your thoughts? What type of tool, or functionality, do you think would disrupt education? What types of tools would teachers need to disrupt education?

And you thought email was dead…

Email – having survived many declarations of its death – is experiencing a renewal. This week, Google launched priority inbox. Then came the announcement of Greplin (most likely candidate for Google acquisition) – a service for searching across multiple platforms: gmail, twitter, facebook, dropbox, etc. And guess what? Now email has been raised to platform status with “huge potential for extensibility”. Only a year ago, Google Wave was hailed as an email killer. Today, Wave is gone and email soldiers on. Email and bed bugs have similar resiliency, it appears.

Openness, but only if it’s closed

UPDATE: Just got word from Marc Parry – the article is now accessible here.
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Have you ever had the feeling that you’re making great progress on a topic you’ve been passionate about for over a decade? I had that over the last few weeks when I had several interviews with the Chronicle for an article they were doing on the open courses I’ve taught with Dave Cormier and Stephen Downes – as well as other open courses taught by Alec Couros and David Wiley. The Chronicle is a well known publication that has the ear of more traditional academics and administrators. Woo hoo! We’re getting somewhere!

Have you ever had the feeling that you’re making absolutely no progress on a topic you’ve been passionate about for over a decade? I had that feeling this morning when I saw that the Chronicle had published the article on our open courses…but for some really ironic reason decided it should be closed access. I haven’t read the article. I’m sure it’s good. But it’s against the grain of what I wanted to communicate about openness. Thanks to Marc Parry for tackling the topic – he seemed very thorough in his research of the topic. I just wish that the Chronicle would let me read the article.

Africa: Millenium Development Goals

I received an email recently that highlighted the millenium development goals – eight goals set by UN member states. The goals include reducing extreme poverty, universal primary education, reducing child mortality rates, improving maternal health, combating HIV/AIDS/Malaria, and related goals. TEDxChange will be hosted in New York and will include events in cities around the world: TedxLondon, Brisbane, Accra, Tokyo, Buenos Aires, Auckland, Dubai, and others.

Think what you will of TED as an exclusive event – this is an important conversation and I’m pleased it will be happening with global participation. I want to address the MDG briefly from the perspective of education and my experience in Africa.

Even a brief glance through MDG produces a common thread: knowledge and learning. The second goal – universal access to primary education – is important, but is understated. Learning & knowledge are a wrapper around all millenium goals. Health, poverty, and development have an urgent component and a long-term foundation component. Obviously, when someone needs penicillin, food, or medical attention, learning to read and write is secondary. In regions like Africa, policy makers, development workers, and leaders face difficult choices in balancing needed medical attention and nutrition with long term development in learning and knowledge to break the cycle of urgency.

I hardly consider myself to be an expert on Africa. I’ve been involved in several activities: as a keynote presenter at eLearning Africa in Ghana, workshop organizer at eLearning Africa in Senegal, recipient of an OSIWA grant (with Boubakar Barry and Kathleen Matheos. One of the outcomes of the grant was a dual language – French/English – open course I taught with Dave Cormier to a group of African university leaders), and I’m currently teaching a course on emerging technologies for learning to NISTCOL.

The question of how to build a learning and knowledge infrastructure is critical. Should Africa (or any region of the world) duplicate the educational system of Europe or North America? Should Africa adopt the curriculum of these regions? How should teaching and learning be delivered? How many schools should be built? What is the cost of building the physical support structures for learning and knowledge for a region like Africa? Is there a better way? What are the costs of building a technological infrastructure – internet connectivity and computers – in comparison to building schools and purchasing textbooks? (it’s not an either or question – effective learning with technology from my experience, involves a blend of online and face-to-face).

I’ll make a controversial assertion: we need to throw out most or our assumptions of learning systems, content, learning design and delivery in order to build the future of Africa’s learning and knowledge infrastructure.

Textbooks are too expensive. A simple ebook reader opens many new opportunities (yes, electricity is a concern, but I’ve seen very simple solar panels, the size of a piece of paper, that could be used to recharge the device). Mobile learning is another option, as creating a mobile technical infrastructure is far less expensive than physically wiring Africa. The content provision and technology structure for learning and knowledge-making in Africa is an expensive endeavor. Building the technical infrastructure, however, is the easy part – it will take investment, persistence, planning, and time, but the path forward is somewhat predictable. Government and development agency funding will eventually give way to private investment as the infrastructure is rolled out. Africa’s internet connectivity has been slowly improving. Now that both east and west coasts are better connected to the rest of the world, it’s reasonable to anticipate rapid connectivity improvements within the continent. Ingenuity and creativity from within Africa will address this challenge – it’s not something that development agencies should “do for Africans”. When I was at the eLearning Africa conferences, I was stunned at the “made in Africa” innovations.

The learning process is less uncertain. How will the next generation of Africans be educated? What is the learning model that will fulfill this urgent, foundational, task? This question is increasingly critical as open educational resources expand and access to content is being equated with progress in learning.

I’m a huge supporter of open content. For Africa’s future, as I stated in my keynote in Accra, the flow of educational content must change. Right now, educational content flows into Africa which creates an external cultural injection. African educators have an opportunity to create a content/cultural outflow from Africa by increasing collaboration with each other and producing open content for other educational systems in the world to utilize. Open content is not enough. We need to open up the learning system as a whole to the benefits of participation, socialization, networks, and peer interaction.

A simple model

Education in Africa, like many other systems in the world, would benefit enormously from a shift to social participative networked learning. (see this example of how participative technologies are helping farmers in Africa)

Two-critical questions need to be answered by anyone who wants to adjust the education system:

1. What does technology now do better than people can?
2. What can people do better than technology?

Content duplication, scaling, and reproduction are far better managed by technology. One recorded lecture can be seen a thousand times online without significant increase in expense. The content broadcast of any course can be opened and shared online fairly easily, using simple tools like Skype, ustream, or Elluminate. Duplicating content – where we are now with open educational resources is easy and cheap.

The exciting and fascinating potential available to educators around the world today is to engage in social, participative, and networked learning with students and colleagues. Technology can facilitate this, but the social dimensions of learning are still best managed by humans. This is the exact model Stephen Downes, Dave Cormier and I are utilizing in open courses (we are hosting an upcoming open course on personal learning environments and networks …if you’re interested, you can sign up here). Open courses offer a model of learning that enables educators to utilize existing learning activities and distribute them across a network. Sugata Mitra has demonstrated the value of peer and self-directed learning in India. In online learning, I think my work with Cormier and Downes has similarly demonstrated how people in networks can help each other to learn, even when more that 2300 learners are involved (our CCK08 course).

In Africa, the foundational learning and knowledge development that must take place to break the cycle of crisis and urgency can best be met through social participative networked learning. In this model, educators can take advantage of the scalability of open content, the broadcast potential of lectures and recordings, and the social interactive potential of large-scale peer-based learning. I can see no other model that provides the effectiveness of learning on a large enough scale to meet the current challenges in many of the worlds emerging economies. Traditional educational models simply cannot scale rapidly enough. But, when we turn the world and its educators into a global networked classroom, fascinating and innovative learning can occur. It will take no additional effort and time for us (Rita Kop, Stephen Downes, Dave Cormier) if 500 or 5000 learners from Africa join our open course in September. Each node that joins the network amplifies the network’s potential for peer learning and participation.

(Quick shout out to the IRRODL special issue of distance education in Africa from 2009 addressing some of the African learning challenges)

What are Learning Analytics?

Last week, I announced an upcoming conference in Banff on Learning Analytics (call for papers can be found here). We have also set up a Google Group for discussions about learning analytics and the conference.

What are Learning Analytics? (LA)

Learning analytics is the use of intelligent data, learner-produced data, and analysis models to discover information and social connections, and to predict and advise on learning. EDUCAUSE’s Next Generation learning initiative offers a slightly different definition “the use of data and models to predict student progress and performance, and the ability to act on that information”. Their definition is cleaner than the one I offer, but, as I’ll detail below, is intended to work within the existing educational system, rather than to modify it. I’m interested in how learning analytics can restructure the process of teaching, learning, and administration.

LA relies on some of the concepts employed in web analysis, through tools like Google Analytics, as well as those involved in data mining (see educational data mining). These analytic approaches try to make sense of learner activity (through clicks, attention/focus heat maps, social network analysis, recommender systems, and so on). Learning analytics is broader, however, in that it is concerned not only with analytics but also with action, curriculum mapping, personalization and adaptation, prediction, intervention, and competency determination.

What does this look like?

Here is my vision of learning analytics and the role they *can* play in education (while simultaneously demonstrating the paucity of my visual/image creation skills).

This is the process of learning analytics:

Learners constantly off-put data – sometimes explicitly in the form of a tweet, facebook update, logging into a learning management system, or blogpost, and other times unintentionally while in the course of daily affairs (or data that is provided by someone else – such as being tagged in Facebook or with the new privacy-pushing Facebook Places). This data happily sits in a database, waiting for some type of analysis. The data that learners off-put is supplemented by the learner’s profile. My profile, for example, is all over the internet in all kinds of formats and sites: Linkedin, Facebook, Elgg, Google, blogs, institutional services, and others. Facebook (with Connect), Twitter, and Google are trying to reduce the confusion by becoming the default sign-in service on other sites. To date, online identity and profiles are a mess.

With data becoming increasingly intelligent (semantic or linked data), learner data, profile information, and curricular data can be brought together in some form of analysis. I’ll return to the curricular implications of this in a moment. For now, it’s sufficient to state that our data trails and profile, in relation to existing curriculum, can be analyzed and then used as a basis for prediction, intervention, personalization, and adaptation. I’ve addressed this process partly in Technologically Externalized Knowledge and Learning. It’s important to emphasize that the adaptation is not exclusively technological – sensemaking and wayfinding through social systems have demonstrated their value over the last several years through recommender systems, small network clusters, and so on. Adaptation and personalization needs to be holistic and multi-faceted, incorporating technology, socialization, and pedagogy.

A simplified image of the process looks like this:

Effective utilization of learning analytics can help schools and universities to pick up on signals that indicate difficulties with learner performance. Just as individuals communicate social intentions through signals well before they actually “think” they make a decision, learners signal success/failure in the learning process through reduced time on task, language of frustration (in LMS forums), long lag periods between logins, and lack of direct engagement with other learners or instructors.

This final image is fairly simple, but it gets to the heart of where I think learning analytics can help to transform education:

Curriculum in schools and higher education is generally pre-planned. Designers create course content, interaction, and support resources well before any learner arrives in a course (online or on campus). This is an “efficient learner hypothesis” (ELF) – the assertion that learners are at roughly the same stage when they start a course and that they progress at roughly the same pace. Any educator knows that this is not true and will eagerly resist the assertion that their teaching assumes ELF. But systems don’t lie. How educational institutions design learning is due for dramatic restructuring – the model of curriculum design, development, and delivery currently employed by schools, corporations, and universities is strongly antagonistic to what actually works in the learning process (even a brief review of learning sciences reveals the failure of ELF).

Learning content should be more like computation – a real-time rendering of learning resources and social suggestions based on the profile of a learner, her conceptual understanding of a subject, and her previous experience. Competence (as measured by a degree or certificate) need not be explicitly pursued. For example, an integrated learning system should be able to track my physical and online interactions, analyze my skills and competencies, and then compare my life-long skills against a discipline or field of knowledge (this comparison will be possible because a discipline will utilize intelligent/semantic/linked data to define its knowledge). Then, the learning system should inform me that I am “64% to a achieving a phd in psychology, 92% to achieving a masters in science, 100% to achieving a certificate in online learning” and so on. If I do decide to pursue that phd in psychology, the learning system should offer a personalized path forward that adapts constantly to knowledge I acquire in the course of work, parenting, or generally living my life.

I recognize that a few of these assertions are a bit future focused. However, I think all of them are showing early signs of promise in advanced data analysis, prediction and probabilistic models, learning research, intelligent data, and social learning theory. Given the painfully slow process of change in education or learning institutions, now would be an ideal time for institutions to start asking questions about the structural impact of networked technologies on the future of learning and knowledge-making in their systems. I’m convinced that education tomorrow will look far more like the model detailed above than what we currently see in traditional institutions.

How do you manage information?

I’ve posted a few thoughts on AU’s Landing about how I manage information. I specifically use the term information instead of knowledge. Our encounter with information is one of sensemaking and wayfinding. We encounter a continual flow of information – most of it will never become “knowledge”. We file it, we share it, we cite it. Knowledge, however, requires more than storing information. For something to be knowledge, we must be personally related to it – we must integrate it with what we currently know. We spend most of our day trying to make sense of the world – in my case, emerging technologies, learning, institutional change, and so on. Most of my sensemaking efforts involve managing information flow. Much less of my time involves knowledge: tagging resources, posting to delicious, or tweeting don’t count as knowledge-making. Knowledge-making is the process of integration, of seeking coherence between what we know and what we encounter, and performing some action.

My information management system is diagramed below:

Place-based services

The explosion of mobile devices has added numerous layers to our interaction with each other and with information, most notably – augmented reality and location-based computing. Location-based services (such as Foursquare and Gowalla) allow individuals to “check-in” to physical locations through a mobile app. Once you’re checked in, members of your social network knows your location and is able to connect with you (in person) if they are nearby. I’ve used Foursquare several times to meet people I’ve only known online in the past. This week, Facebook jumped into the location-based game by announcing Places (Techcrunch has posted a useful comparison of various systems). Some are calling Places Facebook’s biggest bet to date. Others say it completes the picture (no idea what “the picture” is…is it the complete fulfilment of Bentham’s Panopticon?)

Reflections on Open Courses

I’ve posted an article about my experiences with open courses and their role in knowledge growth: Reflections on Open Courses

Restructured relationships: the theatrics of social media

Relationships are changing, driven largely by social media, for editors and readers, teachers and learners, politicians and the electorate. The “audience” has changed in most sectors. Even traditional disciplines like acting and theatre are impacted. A recent event in Edmonton demonstrates the dimensions of that relationship (power?) shift and the difficulty many people have in coming to grips with the scope of change. Mack Male provides detailed description, but here’s my short version: theatre attendee routinely blogs her opinions and experiences with a local theatre…a prominent actor at that theatre (Jeff Haslam) decides, after five years of reviews, to provide a (very sharp) rebuke to the blogger. With this scene queued, the curtain rises as bloggers/twitters/traditional media try to make sense of hurt feelings and how an actor/actress is to relate to an audience when the audience has a voice and forum for broadcasting their views – a reality not that different from what is happening in higher education. At stake: the role of expertise (does one need to be trained theatre reviewer to express opinions?), civility, and the value of social media in traditional disciplines. This an outstanding study of the growing influence of social media and the need for greater awareness of the power shift it’s creating.

Learning Analytics 2011

TEKRI is organizing/sponsoring a conference on what I think is the next significant trend in learning (corporate and higher education): Learning Analytics. The call for papers was announced yesterday. A huge thanks to the steering committee for their work and assistance over the last few months in pulling together the theme/focus of the conference. The conference will be held in Banff, Alberta from Feb 27-Mar 1, 2011. As all Canadians know, February is our best month :) .

If you’re interested in the topic of learning analytics (or the conference), please join this Google Group.

And, if your institution/company is interested in sponsoring the conference, please let me know!