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Monthly Archives: April 2016

EDM 2016: Topic-wise classification of MOOC discussions – a visual analytics approach

Our work, funded by¬†Google, explores how we can support personalised learning in MOOCS by automatically classifying and labelling discussion forum topics. This work helps learners navigate large amounts of discussion data, by helping them focus on the topics that are of interest to them, and helps academics by allowing them to see those topics that […]

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Research Contract: Expanding Teacher Professional Development – Beyond the CSER MOOC, Google Research Contract. K. Falkner, R. Vivian. ($95,101) (2016)

Our CSER MOOC project provides professional development support for K-8 teachers across Australia in defining and understanding appropriate pedagogy for the teaching of computational thinking within the primary and lower secondary context. While successful in providing accessible and confidence building professional learning, and instrumental in helping define appropriate pedagogy for this new educational space, there […]

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ITiCSE 2016: Applying Validated Pedagogy to MOOCs: An Introductory Programming Course with Media Computation

In our research and our teaching practice we have been exploring new ways of engaging students over a number of years, with a particular interest in active and collaborative learning strategies. In our first EdX MOOC, Think Create Code, we built upon Mark Guzdial’s work in Media Computation and contextualised learning to create an introductory […]

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Learning@Scale: A Framework for Topic Generation and Labeling from MOOC Discussions

Our first results from our Google Research Grant exploring personalised learning at scale has been accepted as a Work in Progress paper at the upcoming Learning@Scale conference. We are excited to be able to share some of our preliminary results in such a forum, and to be able to share our thoughts on where this […]

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