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Abstract: In this talk, I will drive you through how the growing datafication of education is reshaping our understanding of learning in digital environments. Drawing on insights from learning analytics and artificial intelligence, I will demonstrate how diverse data sources can be leveraged to enhance learning practices. Examples will highlight how data enables personalized feedback, student engagement monitoring, and improved learning outcomes. At the same time, I will address key challenges related to data privacy and protection, as well as the risks of oversimplifying education by reducing it to data points.
Bio: Mohammad Khalil is a senior researcher of learning analytics at the University of Bergen. He is based in the Centre for the Science of Learning & Technology (SLATE) where his research work focuses on the intersection of learning analytics, artificial intelligence in education, and information security to advancing datafication of education to understand learning in digital environments and support learning experiences. Khalil’s research work has promoted responsible educational data science through exploring and addressing privacy and data protection challenges by offering both conceptual frameworks and practical solutions.
He has made significant career contributions, including award-winning papers at the LAK, EMOOCs, and EDEN conferences. He has secured research funding from Equinor, Erasmus+, Peder Sather, and taken on leadership roles in professional organizations such as the Society for Learning Analytics Research (SoLAR). He is also active in the editorial of learning analytics and AI in Education works for high-impact factor journals for BJET, JLA, JCHE and regularly organizes several national and international outreach events.
