#LAK11 Learning Analytics – my third post

Love your post Roy, and views.  I share with you especially your concerns.  I have written my post in my blog post

I reckon using softwares to generate the Analytics shouldn’t be difficult, as nowadays there are a lot of turnkeys, like the SPSS, or the Statistics Package, PROMODAL, ithink etc.  The challenge is: (1) how would we interpret the statistics? (2) what does the statistics or analytics tell me (as an educator or a learner)?  and (3) what actions or interactions are appropriate for certain patterns of connections?

I also think that learning analytics are like thinking that the use of SQC (Statistical Quality Control) – the 7 QC tools or even the new QC 7 tools – Quality Function Deployment, Affinity Diagrams, Relationship Diagrams, etc. might have given us all the solutions.  Surprisingly, they won’t, mainly because the complexity behind all these learning won’t be that simple. Also, would lots of assumptions behind those aftermaths statistics be good predictors of the future?  New agents, new interactions, and new environments would yield new results, and so only novel solutions – i.e. based on probe, sense and response in case of complex situation could help.

Still pondering on these presentations.



6 thoughts on “#LAK11 Learning Analytics – my third post

  1. Hi John (a response copied from my blog) …
    Statistics do yield useful pictures of trends (see visualcomplexity.com). And these kinds of pictures are in one sense just quantitative data at a sufficiently low (big picture) resolution that you can see the qualitative issues once again. Nice dialectic. The key may be to construct the nodes so that you can not only resolve the way you read a node down to node-resolution, but instead also allow for a reading that goes ‘past’ the node to the richness on the other side. Dave Snowden’s trends-of-narratives approach used to do this, although I saw in a recent application that the audio was stripped out. My own work on Nested Narratives does this in principle, although quite differently. More dialectics. Food for resolution?

  2. Hi Roy,
    Fully agreed. I wonder if an integration of fractals, combined with narratives and learning analytics would provide a more comprehensive model of networked learning. Need to explore how the learning analytics techniques and models are developed and interpreted.
    Thanks for your insights and sharing.

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