Resumen/Abstract
In this presentation, I hope to not only trace some of the ethical issues in the collection, analysis and use of student data by humans, and increasingly, at the intersections of human-algorithmic decision-making systems. As higher education increasingly becomes digitised and datafied, we have access to greater volumes, variety, nuances and sources of student data. This allows us to develop and use Artificial Intelligence to not only collect and make sense of the data, but also to respond to students' learning needs, potential and risks of failing. There are, however, a number of ethical issues to consider in the nexus of student data and human-algorithmic decision-making systems.
Curriculum ponente
Paul Prinsloo is a Research Professor in Open and Distance Learning (ODL) in the College of Economic and Management Sciences, University of South Africa (Unisa). His academic background includes fields as diverse as theology, art history, business management, online learning, and religious studies. Paul is an established researcher and has published numerous articles in the fields of teaching and learning, student success in distance education contexts, learning analytics, and curriculum development. His current research focuses on the collection, analysis and use of student data in learning analytics, graduate supervision and digital identity.
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