Investigating course choice motivations in university environments
Abstract Recommendation systems need a deeper understanding of users and their motivations to improve recommendation quality and provide more personalized suggestions. This is especially true in the education domain, the more about the student is known, the more useful recommendations can be made. H...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2021-11-01
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| Series: | Smart Learning Environments |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s40561-021-00177-4 |