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Project VoLL-KI : Learning from Learners
Kohlhase, Michael; Berges, Marc; Grubert, Jens; u. a. (2026): Project VoLL-KI : Learning from Learners, in: Bamberg: Otto-Friedrich-Universität, Jg. 39, S. 299–309.
Publisher Information:
Year of publication:
2026
Volume:
39
Pages:
Source/Other editions:
Künstliche Intelligenz : KI ; Forschung, Entwicklung, Erfahrungen ; Organ des Fachbereichs 1 Künstliche Intelligenz der Gesellschaft für Informatik e.V., GI, Berlin ; Heidelberg: Springer, 2025, Jg. 39, S. 299–309, ISSN: 0933-1875
Year of first publication:
2025
Language:
English
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 diferent levels of abstraction to improve the learning experience and outcomes for students of artifcial intelligence. Learning and teaching at tertiary education institutions are currently ITbased 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 diferent 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
and learning material selection, VR-based learning experiences, educational chatbots, and adaptive learning environments
are developed. The systems are mostly deployed as prototypes
Keywords: ; ; ; ; ; ;
Computer-aided education
Intelligent tutoring systems
Teaching support for artifcial intelligence education
Computer-aided learning (CAL)
Data-driven learning quality management
Study course monitoring
Learning analytics
Type:
Article
Activation date:
May 21, 2026
Permalink
https://fis.uni-bamberg.de/handle/uniba/115195