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Category Archives: Uncategorized

MOOC Research Initiative: Reports Released

I’m pleased to announce that the reports from the MOOC Research Initiative (MRI) are now available. In the spirit of useful science, each grantee was asked to provide a one sentence overview of their research findings. I enjoyed working on this grant. The traditional method of exploring a knowledge domain takes years. With MOOCs, given [...]

New MOOC: Data, Analytics, & Learning

I’ve run a range of open courses on a fairly broad range of platforms: D2L, Moodle, Instructure, a mess of social media tools, and (most frequently) with Stephen Downes’ gRSShopper. This fall, together with colleagues, I’ll be offering an open course on edX: Data, Analytics, and Learning. From the description: In education, the use of [...]

MOOCs: Scaling Corporate Learning

While MOOCs have gained the interest and attention of higher education, they have failed to make much of an impact on corporate learning. That is starting to change. Over the past year, organizations such as Google, GE, Cisco, McAfee, Bank of America, AXA, and AT&T have started to experiment with MOOCs. Non-profits and NGOs such [...]

MOOCs: Expectations and Reality

In spite of (because of?) significant media attention, the dialogue around MOOCs has been more theoretical than informed. Research is lagging well behind rhetoric. Fortunately, that is starting to change. Fiona Hollands and Devayani Tirthali from Teachers College, Columbia University, have released what is the most informed analysis of MOOCs that I have read to [...]

Personal Learner Knowledge Graph

The entire education system is focused on content/curriculum. Content drives almost all academic conversations. Content is the work of designers (how should we structure this), academics (what and how should I teach), administrators (how can we prove [to some random agency] that we taught students stuff that matters), and employers (this is the content I [...]

Multiple pathways: Blending xMOOCs & cMOOCs

I’m running a MOOC on edX in fall on Data Analytics & Learning (registration will be open soon). As part of this process, we organized a designjam recently bringing together 20 or so folks to think through the design process. I’ll post separately on this event. For now, I just want to highlight one aspect [...]

Journal of Learning Analytics

Interest in learning analytics is growing. It’s a data centric world and will only become more so in the future. From my biased view, it is critical that educators are aware of the role of analytics in education because of the heaving influence algorithms, data, and analytics have on teaching, learning, and decision making in [...]

Thoughts on Connectivism

Stephen Downes has posted some thoughts on connectivism. David Wiley replies, saying while interesting, connectivism is incomplete (which I think is great – if it’s complete, we can stop working on it). In 2008, I posted a short presentation on the various ways in which learning is networked: neural, conceptual, and external. The defining attribute [...]

Open Learning Analytics

The future of systems such as business, government, and education will be data centric. Historically, humanity has made sense of the world through discourse, dialogue, artifacts, myth, story, and metaphor. While those sensemaking approaches won’t disappear, they will be augmented by data and analytics. Educators often find analytics frustrating. After all, how can you analyze [...]

What will universities monetize in the future?

Universities do more than teach. Research is one of the most important activities of higher education. From the lens of students and society, however, the teaching and learning process and what it costs, is the primary focus. The university economic and operational structure, in relation to educating learners, can be seen as consisting of three [...]