Risk mitigation in the era of Learning Analytics

This blog asks for feedback on the risks you encounter during any of the stages of LA deployment from concept to reality. We are deploying a survey, and the results will be shared in an anonymous format to provide feedback to researchers and importantly for those who have to implement. 

Links

• You can find the survey here.
• A link to a call for proposals for a hackathon which will also include the review of the risks with mitigations here: https://easychair.org/cfp/hack-lsac18
• And an orientation abstract from the Eunis 2018 conference here. 

Later in the year, a longer paper will be published at which point we will share through a secondary blog.

Context

To structure this debate, we will later review the currently available frameworks that support the deployment of large-scale LA infrastructure and define a strategy of curation of a global risk mitigation matrix (risks vs mitigative actions). We show how a risk mitigation matrix can be attached to any deployment framework improving both the framework and the quality of the matrix. Finally, based on hackathons, to kick off curation, we suggest a series of interconnected workshops to facilitate the take-up this methodology to generate a periodic strategy document with associated top ten list of mitigations.

Organisers

Alan Mark Berg - UvA
Gábor Kismihók - TIB Hannover
Patrick Lynch - Hull University

Please feel free to reach out to me:

    Alan Mark Berg
  a.m.berg AT uva.nl