Project VoLL-KI: Learning from Learners

Kohlhase M, Berges MP, Grubert J, Henrich A, Landes D, Leidner JL, Mittag F, Nicklas D, Schmid U, Sedlmaier Y, Ulbrich-vom Ende A, Wolter D (2024)

Publication Type: Journal article

Publication year: 2024

Journal

Künstliche Intelligenz Springer Verlag

DOI: 10.1007/s13218-024-00846-9

Abstract

“Learning from Learners” (“Von Lernenden Lernen”, “VoLL-KI ” for short) is a is collaborative research project with the goal of creating a practical toolbox of instruments at different levels of abstraction to improve the learning experience and outcomes for students of artificial intelligence. Learning and teaching at tertiary education institutions are currently IT-based but not AI-supported. The VoLL-KI project aims to go this crucial next step. Using AI approaches (e.g., ML, symbolic AI, statistical AI), several educational technologies are developed on the different granularity of the study programs (e.g., course, semester, program). So, dashboards for study planning, recommender systems improving student advisory services and learning material selection, VR-based learning experiences, educational chatbots, and adaptive learning environments are developed. The systems are mostly deployed as prototypes.

Authors with CRIS profile

Michael Kohlhase Professur für Wissensrepräsentation und -verarbeitung Marc-Pascal Berges Professur für Didaktik der Informatik

Involved external institutions

Hochschule für angewandte Wissenschaften Coburg DE Germany (DE) University of Sheffield GB United Kingdom (GB) Otto-Friedrich-Universität Bamberg DE Germany (DE)

How to cite

APA:

Kohlhase, M., Berges, M.-P., Grubert, J., Henrich, A., Landes, D., Leidner, J.L.,... Wolter, D. (2024). Project VoLL-KI: Learning from Learners. Künstliche Intelligenz. https://doi.org/10.1007/s13218-024-00846-9

MLA:

Kohlhase, Michael, et al. "Project VoLL-KI: Learning from Learners." Künstliche Intelligenz (2024).

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