The role of ethics and privacy for policy making in Learning Analytics




Prof. Dr. Hendrik Drachsler


The widespread adoption of Learning Analytics (LA) and Educational Data Mining (EDM) has somewhat stagnated recently, and in some prominent cases even been reversed following concerns by governments, stakeholders and civil rights groups. In this ongoing discussion, fears and realities are often indistinguishably mixed up, leading to an atmosphere of uncertainty among potential beneficiaries of Learning Analytics, as well as hesitations among institutional managers who aim to innovate their institution’s learning support by implementing data and analytics with a view on improving student success. In this talk, we will analyse the most common views and the propositions made by the LA community to solve them. We conclude the talk with an overview of existing instruments for policy making to facilitate a trusted implementation of Learning Analytics in educational institutes.




Author's biography

Prof. Dr. Hendrik Drachsler

Prof. Dr. Hendrik Drachsler is Professor for Technology-Enhanced Learning at the University of Applied Sciences Zuyd, and Learning Analytics at the Welten Institute of the Open University of the Netherlands. His research interests include Learning Analytics, Personalisation technologies, Recommender Systems, Educational data, mobile devices, and their applications in the fields of Technology-Enhanced Learning and Health 2.0. Hendrik is chairing the EATEL SIG dataTEL and the national SIG Learning Analytics of the Dutch umbrella organisation SURF. He is also elected member of the Society of Learning Analytics Research (SoLAR). In the past he has been principal investigator and scientific coordinator of various national and EU projects (e.g., FP7,, WP2 lead, and was responsible for a consortium budget of over 15 Million Euro research grants and and 2.8 Million Euro for his own research group. Hendrik has regularly chaired international scientific events and is Associate Editor of IEEE's Transactions on Learning Technologies, and Special Issue Editor of the Journal of Computer Assisted Learning (JCAL). He authored various highly cited articles on Technology-Enhanced Learning. The most influential articles can be found on Google Scholar.

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