Kohlhase, MichaelMichaelKohlhaseBerges, MarcMarcBergesGrubert, JensJensGrubertLandes, DieterDieterLandes0000-0002-5074-3254Leidner, Jochen L.Jochen L.LeidnerHenrich, AndreasAndreasHenrichMittag, FlorianFlorianMittag0000-0001-7012-6010Nicklas, DanielaDanielaNicklas0000-0002-1301-0326Schmid, UteUteSchmidSedlmaier, YvonneYvonneSedlmaier0000-0002-6509-0815Ulbrich-vom Ende, AchimAchimUlbrich-vom Ende0000-0001-9185-0147Wolter, DiedrichDiedrichWolter2025-03-242025-03-2420250933-18751610-1987https://fis.uni-bamberg.de/handle/uniba/107128“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 prototypesengComputer-aided educationIntelligent tutoring systemsTeaching support for artifcial intelligence educationComputer-aided learning (CAL)Data-driven learning quality managementStudy course monitoringLearning analyticsProject VoLL-KI : Learning from Learnersarticle10.1007/s13218-024-00846-9