Tag - learning analytics

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Universities: core business (and analytics) in 2030?
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Learning Analytics: On Silver Bullets and White Rabbits
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EdMedia 2014 keynote on learning analytics
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Learning Analytics + NICs for Systemic Educational Improvement
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Quantifying deeper learning dispositions for the future data cloud

Universities: core business (and analytics) in 2030?

 Ruth and I have the privilege of working with Randy Bass [blog] and team at Georgetown University. Randy is a leading thinker  around the deep purpose of higher education, and how this entails rethinking student qualities, and analytics. Jump to 40mins for his closing comments in this keynote envisaging higher ed in 2030. Here’s the gist: Our calling as a university is the formation of men and women (but many institutions do this of course). However, we do so in the context of a community of enquiry and knowledge creation (fewer institutions do this). Moreover, we do so for the public, common good (fewer still have this explicit mission). These three are interlocked and inseparable. The railroad companies who thought they were in the business of railroads went bust. The ones who thrived understood[…]

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EdMedia 2014 keynote on learning analytics

At EdMedia 2014 [#edmediaconf] I enjoyed great AACE and Finnish hospitality 🙂 The critical stance of my keynote there seemed to resonate with delegates, who hear a lot about “Big Data” and analytics, but have reservations about the kinds of learning that such technologies may perpetuate. I sought to deconstruct analytics to clarify the ways in which an approach and how it is used embodies an educational worldview. Knowing this, what kinds of learners are needed for 21st century society, and what role can analytics play in advancing this mission? Part of this emerging picture is what we’re focusing on here at LearningEmergence.net — redefining metrics that value qualities in the learner that many are talking about, but which are hard to evidence. Here’s[…]

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Learning Analytics + NICs for Systemic Educational Improvement

Personal reflections on 2 workshops and a lecture with Tony Bryk (Carnegie Foundation for the Advancement of Teaching), hosted last week by Ruth Deakin Crick at University of Bristol. What follows after a brief introduction to the concept of NICs, are my thoughts on the intersection of NICs with Learning Analytics. I made a number of connection points between the features of the DEED+NIC approach, and learning analytics, which I’ll highlight in green. with Gulzhan Azimbayeva • Harvey Goldstein • Ruth Deakin Crick • Tony Bryk Introduction: NICs The ideas of the human-centred computing pioneer Douglas Engelbart (dougengelbart.org) run like DNA through my work, I find so much depth of insight [see his Afterword to my book]. Doug showed the[…]

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Quantifying deeper learning dispositions for the future data cloud

The Big Data in Education workshop in George Mason University, Washington DC, is asking: How might we, from scratch, design digital platforms to model multiple data streams from multiple sources in a generalized ecosystem of learning to make predictions about learning based on changes to instruction? We envision MOORs as digital terrains traversed by learners across formal and informal education (e.g., schooling, museums, the internet), and across the lifespan. Slides from my intro talk, which connected Ruth and Chris’s research at Bristol University and Incept Labs, with emerging concepts of the future learner’s personal data cloud, in which I manage the release of my behavioural and somatic data to boost my learning analytics… Learning Analytics : quantifying deeper learning dispositions? from[…]

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