Highly-Informative Learning Analytics, Hendrik Drachsler

In his keynote, Professor Drachsler will present his current research program on Highly-Informative Learning Analytics (HILA). This includes a critical examination of how current Learning Analytics and AI applications can adequately and meaningfully address the information needs of learners. He will explain his perspective on Highly-Informative Learning Analytics, developed in collaboration with interdisciplinary experts from the fields of psychometrics, feedback theory, and learning design, and which he investigates in experimental intervention studies in higher education and school contexts.

The research program has developed the HILA manufactory, an evidence-based design methodology to develop Data-Enriched Learning Activities (DeLA). The DeLAs are directly applicable in education practice and serve as a source for collecting relevant data to generate HILA feedback. The DeLAs are characterized by their extreme flexibility, being applicable to a variety of learning scenarios across different disciplines. On the other hand, they offer stable conditions suitable for exploring facilitative and hindering factors of HILA application under ecologically valid conditions in various contexts. The goal of the HILA research program is to build an evidence-based knowledge base on the conditions of AI applications. Professor Drachsler will conclude his lecture with an in-depth analysis of the societal, technological, and pedagogical challenges associated with the implementation of HILA.