Addressing Learners’ Heterogeneity in Higher Education : An Explainable AI-Based Feedback Artifact for Digital Learning Environments
Haag, Felix; Günther, Sebastian; Hopf, Konstantin; u. a. (2025): Addressing Learners’ Heterogeneity in Higher Education : An Explainable AI-Based Feedback Artifact for Digital Learning Environments, in: Daniel Beverungen, Christiane Lehrer, Matthias Trier, u. a. (Hrsg.), Transforming the Digitally Sustainable Enterprise : Proceedings of the 18th International Conference on Wirtschaftsinformatik, Paderborn, Germany, 2023, Cham: Springer Nature Switzerland, S. 511–527, doi: 10.1007/978-3-031-80125-9_30.
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Author:
 ;  ;  ;  ;  ; 
Title of the compilation:
Transforming the Digitally Sustainable Enterprise : Proceedings of the 18th International Conference on Wirtschaftsinformatik, Paderborn, Germany, 2023
Volume Number/Title:
Vol. 3
Editors:
Lehrer, Christiane
Trier, Matthias
Conference:
18th International Conference on Wirtschaftsinformatik, 2023 ; Paderborn
Publisher Information:
Year of publication:
2025
Pages:
ISBN:
978-3-031-80124-2
978-3-031-80125-9
Language:
English
Remark:
Das Paper ist zugleich auch hier erschienen: https://fis.uni-bamberg.de/handle/uniba/92292
DOI:
Type:
Conferenceobject
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Activation date:
September 29, 2025

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