How can AI-supported learning analytics be integrated into educational processes in a significant way? How can they be designed, tested and further developed to effectively improve teaching and learning practices?
These questions were addressed by Hendrik Drachsler in his keynote at the Learning AID 2024 in Bochum, which has recently been published in the conference proceeding “Learning Analytics, Artificial Intelligence und Data Mining in der Hochschulbildung”.
In his keynote, Hendrik stresses the importance of content-specific applications that address genuine educational needs and are supported by empirical evidence demonstrating their effectiveness. The key to fostering adaptive and sustainable learning experiences is to understand and accommodate learners’ individual needs.
Hendrik argues that technological progress alone is not sufficient to improve education. His ongoing research shows that AI-supported learning analytics can only bring real advancements in education when these are didactically sound and empirically validated.
The keynote slides are available here:
2024_Keynote_LearningAID
The full summary of Hendrik’s keynote speech can be found here: https://www.transcript-verlag.de/media/pdf/56/9b/1e/oa9783839475836.pdf
For more information see: https://edutec.science/keynote-at-learningaid-bochum-germany/
Drachsler, H. (2025). Design, development and evaluation of highly informative learning analytics. In R. Queckenberg, J. Leschke, & M. Persike (Eds.), Learning Analytics, Artificial Intelligence und Data Mining in der Hochschulbildung (pp. 27–51). Bielefeld: transcript Verlag. https://doi.org/10.14361/978383947583-3