Open University 2016: the global learning mentors

How the OU powered its Associate Lecturers to the next level: a short story

In the glorious wisdom of hindsight, looking back to 2013 it all makes perfect sense now. But it’s amazing how controversial it was at the time, and how few people understood how the ground was shifting beneath their feet.

But try and forget it’s 2016, and cast your mind back…

All around us were the signs of change, and you didn’t need to be MI5 to join the dots. No, we’re talking 11 on the Richter scale — tectonic shifts in the learning landscape — but not on glacial time, it was monthly. The prizes were going to those agile enough to see the new spaces opening up.

Stanford, Harvard, MIT, Oxbridge and just about every other big hitter were catching up with Open: Open Content, Open Data, Open Science, Open Communities, and the last bastion to fall, Open Accreditation, pioneered through initiatives such as OpenBadges. The Open University had been doing Open for 40 years and had the coolest domain name for anyone in the learning business — open.edu — but others were starting to steal the headlines, and the OU had to think and move fast. Being a veteran can cut both ways: wisdom and big picture thinking, or with your laurels round your ankles.

Everywhere we saw the new DIY university options, the appalling value for money provided by top institutions, the learning.com startups sprouting up each week, the accelerated pathways to accreditation, the amazing impact of free, open online learning resources, and the dissatisfaction that employers had with the calibre of school and university graduates. The old guard bemoaned the loss of the good old days. Those with vision demonstrated that inspiring learning, deep thinking and critical scholarship are not intrinsically tied to paper, bricks and mortar.

The OU had always known that it was its Associate Lecturers (ALs) who personalized the student learning experience, provided the emotional support, the challenge to stretch, and the friendly bullying that all learners need and welcome from time to time. But in late 2012, the OU realized that this was a USP that could scale through ‘Open ALs’. ‘Out there’, on the net, there were millions of people with an unquenchable thirst to learn — a need that could only be met by a decentralized, self-organising network of all the Opens (see above) — but critically, with skilled mentors there to help learners navigate, filter and prioritise their activities in what was otherwise an overwhelming ocean of options. Those learners ranged from unaffiliated individuals trying to earn their way out of poverty, to affluent Ivy league students dissatisfied with the level of tutor contact they were getting, to professionals on public and private sector trajectories.

Since the beginning of course, many ALs had been freelancing for numerous employers, including the OU’s competitors. Indeed, sensing that change was coming, some entrepreneurial ALs had already self-organised into a network offering their services. However, for many ALs, the idea of setting up an online business and ‘marketing’ oneself was alien, and somewhat scary.

The OU made a key move, and helped its ALs do this by providing an ebusiness platform for them to set up shop, build their expertise profiles, set their fees, administer financial transactions, and begin to engage the global audience. ALs could display authenticated OU Accreditation which gave them an edge in a marketplace where there were many cowboys.

They could license and configure their favourite online  learning tools in the OU and other cloud computing services, without worrying about the techie details. Social learning, video-conferencing, climate simulations, molecular modelling, mind-mapping, structured debates, inquiry projects, blogging, wikis — mentors chose the best of breed, OU or otherwise, and wielded their expertise to get the most out of them. They built track records through the ratings and endorsements their clients shared, and deployed their own learning resources and methods, which they could share for free or fee. They developed, shared and competed with each other — with all sorts of freemium models being experimented with. Some were happy to engage with learners on an ad hoc basis, as and when they were most needed, while others specialized in getting learners through particular courses or professional development pathways. Some formed and disbanded ad hoc consortia when there were bigger jobs. When there was an unexpected spike, the OU’s relationships with its ALs was critical to rapid response.

Yes, looking back it was all so obvious, but it needed a crisis, and someone like Amazon to show the way: provide the trustworthy, value-adding platform for myriad small businesses to reach a global audience (often selling cheaper than you!), but you’re still laughing from the commission on all transactions, and the small entrepreneurs are happy to be punching way above their weight.

Naturally, there are now loads of copycat platforms. Good job no-one else seized the moment before us.

(Provoked by the OU’s internal Comms conference today)

Learning Analytics: Ascilite 2011 Keynote

Ascilite 2011 banner

Learning Analytics: Dream, Nightmare, or Fairydust?

From today’s keynote at Ascilite 2011, here’s the podcast plus the slides. I am grateful to Gary, Renee and everyone else at Ascilite for their understanding and flexibility, since after months of planning this trip, unfortunately I could not be there in person after my father passed away last weekend.

For those of you who like to download and watch offline: podcast [Hi-Res version: 93.3Mb] + slides [PPTX/PDF]

For detailed descriptions of work presented here, see other posts tagged learning analytics and the references below.

Abstract

Pervasive digital technology is weaving a fabric around our lives which makes it increasingly hard not to leave digital traces. We are experiencing an unprecedented explosion in the quantity and quality of data available not only to us, but about us. While some people find this blanket suffocating and threatening, for others, it marks an exciting new turn in our cultural evolution. The question for us is: what are the implications for learning?

One answer is it’s time to upgrade our computing kit. The learning platform and business intelligence vendors are rolling out analytics dashboards aggregating data into summary views, and will be a source of innovation as they seek to respond to customer needs — but what will institutions be asking for? It is conceivable that government education departments might see potential for league tables based on them.

Another answer is that, at last, we will have an evidence base previous generations of educators and academics could only dream of: real-time data streaming in from our students, even more from data shared by countless others who are happy to reveal their social networks, geo-location, and recommended books. Previously siloed scholarly datasets are now released into the wild, where they can be harvested and mined in a vibrant ecosystem of connected ideas, learners and educators.

Then there are those of a more cautious nature. So what if we have shedloads of data? Now we can drown faster. Learning, enquiry, argumentation, sensemaking, scholarship, insight — these skills are of an entirely different order, the highest forms of meaning-making, uniquely human. And what have analytics to say about the less tangible 21st Century skills that we need to nurture if the next generation is to manage the unprecedented complexity and uncertainty that they will inherit from us? Surely data analytics have nothing to say about intrinsic disposition to learn, emotional resilience in the face of adversity, the ability to moderate a discussion, resolve conflict, or ask critical questions? Finally, who is in control of analytics: are they tools to study learners, or tools to place in their hands, to create reflective, more agile individuals and collectives?

Analytics may in time come to be used to judge you — as a learner, an educator, or your institution. The challenge for us is to debate what it means for this new breed of performance indicators to have pedagogical and ethical integrity. What can and should we do, and what are the limits? Do they advance what we consider to be important in learning, teaching, and what it means to be a higher education institution in the 21st Century?

Are you thinking Dream, Nightmare, or Fairydust?

Biography

Simon Buckingham Shum’s work on sensemaking, collective intelligence and knowledge cartography inform his thinking about the role of technology in shaping the future of learning in higher education, and at school level. His background is in Psychology (B.Sc., York), Ergonomics (M.Sc., UCL) and Graphical Argumentation for Design Rationale (Ph.D., York). He is Senior Lecturer in Knowledge Media and Associate Director (Technology), at the Open University’s Knowledge Media Institute. Within the OU he served on the Steering Group for OpenLearn, and as Director of SocialLearn. He served on the Steering Group who organized the 1st International Conference on Learning Analytics & Knowledge (LAK11), and is LAK12 Program Co-Chair.

Key refs:

Buckingham Shum, S. and Deakin Crick, R. (2012). Learning Dispositions and Transferable Competencies: Pedagogy, Modelling and Learning Analytics. Proc. 2nd International Conference on Learning Analytics & Knowledge. (29 Apr-2 May, 2012, Vancouver, BC). ACM Press: New York. Eprint: http://oro.open.ac.uk/32823

Ferguson, R. and Buckingham Shum, S. (2012). Social Learning Analytics: Five ApproachesProc. 2nd International Conference on Learning Analytics & Knowledge, (29 Apr-2 May, Vancouver, BC). ACM Press: New York. Eprint: http://oro.open.ac.uk/32910

De Liddo, A., Buckingham Shum, S., Quinto, I., Bachler, M. and Cannavacciuolo, L. (2011). Discourse-Centric Learning Analytics. Proc. 1st International Conference on Learning Analytics & Knowledge. Feb. 27-Mar 1, 2011, Banff. ACM Press: New York. Eprint: http://oro.open.ac.uk/25829

Ferguson, R. and Buckingham Shum, S. (2011). Learning Analytics to Identify Exploratory Dialogue within Synchronous Text Chat. Proc. 1st International Conference on Learning Analytics & Knowledge. Feb. 27-Mar 1, 2011, Banff. ACM Press: New York. Eprint: http://oro.open.ac.uk/28955

Hypermedia Discourse in the “State of the Future” report

The State of the Future 2008 report is out now from the World Federation of UN Associations Millennium Project, with an updated analysis of the 15 global challenges that its worldwide panel have been analysing for 12 years now.

The Independent summarised it quite helpfully recently. This analysis and evidence-base will undoubtedly be feeding into our ESSENCE experiment.

Of particular interest from our Hypermedia Discourse perspective is Chapter 6: Global Energy Collective Intelligence. Jerry Glenn, the Millennium Project Director, lays out the case for a distributed, collective intelligence network focused on a specific challenge (energy), which includes structured, graphical deliberation tools.

The Chapter 6 appendix (on the CD accompanying the report) provides interface mockups, including this Compendium aerial view by Jeff Conklin.

So, it’s an exciting development to see these ideas that we’ve been working on for so long now gaining traction, and we’re now looking for the resources to develop Phase 2, as proposed in the report.