Ontology-based course recommendation
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Author (Corporation)
Publication date
2024
Typ of student thesis
Course of study
Collections
Type
04B - Conference paper
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Parent work
Proceedings of the 2024 Conference Society 5.0 - Innovation for Sustainable and Inclusive Social Good
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DOI of the original publication
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Series
Series number
Volume
2
Issue / Number
Pages / Duration
23-35
Patent number
Publisher / Publishing institution
Zenodo
Place of publication / Event location
Mauritius
Edition
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Abstract
This paper addresses the challenge of course selection for students by using the domain knowledge available within course descriptions to improve the decision-making process. The decision-making process for selecting courses is complex, influenced by intrinsic motivations, such as personal interests and academic goals, and extrinsic factors, including career prospects and peer recommendations, shape students’ preferences. This paper demonstrates the potential of semantic networks, and ontologies in particular, to match student preferences with available courses. By developing an ontology tailored to the Master’s program in Business Information Systems at FHNW University of Applied Sciences and Arts Northwestern Switzerland, we explore the ability of ontologies to refine the precision, relevance, and customization of course recommendations, thereby empowering students to make well-informed decisions.
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Event
4th International Conference on Society 5.0
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Language
English
Created during FHNW affiliation
Yes
Strategic action fields FHNW
Publication status
Published
Review
Peer review of the complete publication
Open access category
Diamond
License
Citation
Beuchat, G., Hinkelmann, K., & Spahic, M. (2024). Ontology-based course recommendation. In H. Smuts & K. Hinkelmann (Eds.), Proceedings of the 2024 Conference Society 5.0 - Innovation for Sustainable and Inclusive Social Good (Vol. 2, pp. 23–35). Zenodo. https://doi.org/10.5281/zenodo.11619278