Project VoLL-KI

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

Metadata

Item Type:	Article
Authors/Creators:	Kohlhase, M. Berges, M. https://orcid.org/0000-0002-9982-547X Grubert, J. Henrich, A. Landes, D. Leidner, J.L. Mittag, F. Nicklas, D. Schmid, U. Sedlmaier, Y. Ulbrich-vom Ende, A. Wolter, D.
Copyright, Publisher and Additional Information:	© The Author(s) 2024. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons. org/licenses/by/4.0/.
Keywords:	Computer-aided education; Intelligent tutoring systems; Teaching support for artificial intelligence education; Computer-aided learning (CAL); Data-driven learning quality management; Study course monitoring; Learning analytics
Dates:	Submitted: 18 April 2023 Accepted: 4 April 2024 Published (online): 5 May 2024 Published: December 2025
Institution:	The University of Sheffield
Academic Units:	The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Date Deposited:	30 Jan 2026 11:29
Last Modified:	30 Jan 2026 11:29
Status:	Published
Publisher:	Springer Science and Business Media LLC
Refereed:	Yes
Identification Number:	10.1007/s13218-024-00846-9
Sustainable Development Goals:
Open Archives Initiative ID (OAI ID):	oai:eprints.whiterose.ac.uk:236950

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Project VoLL-KI

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