Do personal recommendations need to be personalized? Investigating the relationships between student differences and educational recommendations

Abstract Educational recommender systems have been supporting personalized learning in various ways. However, less discussion is conducted about whether and how to personalize the strategies to generate recommendations based on student differences. In this study, we aim at investigating how students...

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Bibliographic Details
Main Authors: Yiling Dai, Heinz Ulrich Hoppe, Brendan Flanagan, Kyosuke Takami, Hiroaki Ogata
Format: Article
Language:English
Published: SpringerOpen 2024-12-01
Series:Smart Learning Environments
Subjects:
Online Access:https://doi.org/10.1186/s40561-024-00349-y
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