November 6, 2017

Looking at data ethics in Learning Analytics

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As part of the International Semantic Web Conference (ISWC 2017, 22/10/2017) in Vienna, the Re-codding Black Mirror workshop looked at both the potential ethical implications of semantic web technologies, and at the solutions they could provide to those issues. The workshop included discussions and debates, collective tasks around identifying potential ethics stories from semantic web research, as well as paper presentations looking at specific technologies, as both leading to ethical issues and possible solutions.

AFEL coordinator Mathieu d’Aquin was co-organiser of the workshop, and AFEL member Wassim Derguech was first author of a paper (presented by Ali Intizar) that specifically looked at potential scenarios of abuse of learning analytics, where the behaviour of human learners could be mimicked by bots to improve their ability to learn from web sources, but also to fake successful learning trajectories on behalf of learners.

The paper was very well received and contributed to many of the discussions together with the other contributions to the workshop around the mechanization of scientific discover, social media, or distributed ledger technologies.