Record link: 
http://hdl.handle.net/20.500.12708/215611
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Title: 
On the Design and Evaluation of an Interactive Study Planning Tool
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Citation: 
Wagner-Schirrmeister, J., Röpke, R. C., Johnen, T., Carpantier, R., Schroeder, U., & Scheffel, M. (2025). On the Design and Evaluation of an Interactive Study Planning Tool. In The Fifteenth International Conference on Learning Analytics & Knowledge (pp. 245–247). SoLAR. http://hdl.handle.net/20.500.12708/215611
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Publication Type: 
Inproceedings - Abstract Book Contribution
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Language: 
English
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Authors: 
Wagner-Schirrmeister, Johannes 
Röpke, Rene Christian 
Johnen, Tobias 
Carpantier, Rike 
Schroeder, Ulrik 
Scheffel, Maren 
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Organisational Unit: 
E194-01 - Forschungsbereich Software Engineering 
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Published in: 
The Fifteenth International Conference on Learning Analytics & Knowledge 
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ISBN: 
979-8-4007-0701-8
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Date (published): 
2025
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Event name: 
15th International Conference on Learning Analytics & Knowledge (LAK '25) 
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Event date: 
3-Mar-2025 - 7-Mar-2025
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Event place: 
Dublin, Ireland
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Number of Pages: 
3
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Publisher: 
SoLAR
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Peer reviewed: 
Yes
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Keywords: 
Study Planning; Feedback; Artificial Intelligence; Process Mining; Evaluation
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Abstract: 
This poster outlines the formative development and evaluation process of an interactive study planning tool that combines AI-based feedback and process mining to improve comprehensive, informed, and autonomous long-term study planning for students in higher education. The tool integrates rule-based AI with Learning Analytics to provide context-aware feedback, leveraging historical student data to inform planning decisions. The formative Human- Centered Design process integrates Process Mining and AI while incorporating interdisciplinary perspectives of computer science, pedagogy, social sciences, and ethics.
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Link (external): 
https://doi.org/10.13154/294-12135
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Additional information: 
https://www.solaresearch.org/wp-content/uploads/2025/02/LAK25_CompanionProceedings-Final.pdf
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Research Areas: 
Information Systems Engineering: 100%
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Science Branch: 
1020 - Informatik: 90%
5020 - Wirtschaftswissenschaften: 10%
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Appears in Collections:
Conference Paper

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