Author - Simon Buckingham Shum

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Quantifying deeper learning dispositions for the future data cloud
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Assessing learning dispositions/academic mindsets
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Complexity and Pedagogy – Shanghai Workshop
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Dispositional, Complex Systems Analytics @ LASI
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LearningEmergence team at Stanford July 1-5

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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Assessing learning dispositions/academic mindsets

A few years ago Ruth and I spent a couple of days with the remarkable Larry Rosenstock at High Tech High, and were blown away by the creativity and passion that he and his team bring to authentic learning. At that point they were just beginning to conceive the idea of a Graduate School of Education (er… run by a high school?!). Yes indeed. Now they’re flying, running the Deeper Learning conference in a few weeks, and right now, the Deeper Learning MOOC [DLMOOC] is doing a great job of bringing practitioners and researchers together, and that’s just from the perspective of someone on the edge who has only managed to replay the late night (in the UK) Hangouts and[…]

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Complexity and Pedagogy – Shanghai Workshop

Ruth, Chris and I have just spent an extraordinary week in Shanghai in an intensive, highly ’emergent’ workshop designed to reimagine educational systems (research and practice) as complex adaptive systems. The event was hosted graciously by East China Normal University (Institute of Schooling Reform & Development), a Key Research Institute in the University of National Educational Ministry. We partnered with Prof. Li Jiacheng at ECNU as it became clear that our visions and values for systemic learning systems design are closely aligned. With further backing from University of Auckland, participants were invited from New Zealand, Australia, China and UK. ECNU’s ground-breaking work is led by Prof. Ye Lan (CCTV interview), who is shaping national policy on reforming the school system[…]

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Dispositional, Complex Systems Analytics @ LASI

We’ve just got back from an intensely busy, creative and enjoyable week at LASI13, Stanford University, where Ruth Deakin Crick, Chris Goldspink, Rebecca Ferguson, Nelson Gonzalez and I (online!) contributed to the programme. Ruth and Rebecca were both blogging, so you can get their in-situ reflections, and I’m sure there’ll be more to follow as we unpack the many ideas. Following a successful Dispositional Learning Analytics workshop, on which we’ve had very positive feedback, awareness should grow of Learner Dispositions (or Mindset as Dweck calls it), Teacher Dispositions, the potential of a multi-level Complex Systems approach to educational system design, and from Nelson’s work at Declara, the emerging potential of applying machine learning techniques to such datasets. Ruth and Rebecca[…]

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LearningEmergence team at Stanford July 1-5

The LearningEmergence team are prepping for the upcoming Learning Analytics Summer Institute, Stanford University (July 1-5). We’ll be running one of the workshops, exploring with colleagues from Stanford and many other places the emerging topic of Dispositional Learning Analytics. Speaker lineup, abstracts, discussion papers and resources… Tune into the LASI plenaries via the online webcasts/replays, and connect with the global network of LASI-Locals running in parallel!

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