Recommendations for Personalised Learning Paths-Reference-Cited by-同舟云学术

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Recommendations for Personalised Learning Paths

Published:2024-03-22 Issue: Volume: Page:36-40
ISSN:
Container-title:2024 13th International Conference on Educational and Information Technology (ICEIT)
language:
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Author:

Yang Zhijun¹,Zheng Yurong²,Yang Ying²

Affiliation:

1. Yunnan Normal University Educational Instruments and Facilities Service Center,Key Laboratory of Education Informatization for Nationalities of Ministry of Education,Educational Department of Yunnan Province School of Information Science and Technology, Yunnan University,Kunming,China

2. Yunnan Normal University,Science of Eduaction technology,Kunming,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10540647/10540606/10540724.pdf?arnumber=10540724

Reference20 articles.

1. Reliable peers and useful resources: Searching for the best personalised learning path in a trust- and recommendation-aware environment

2. Flexible Learning Itineraries in Digital Environments for Personalised Learning in Teacher Training

3. Combining social-based and information-based approaches for personalised recommendation on sequencing learning activities

4. Exploring the Effectiveness of Learning Path Recommendation based on Felder-Silverman Learning Style Model: A Learning Analytics Intervention Approach

5. Recommending suitable learning scenarios according to learners’ preferences: An improved swarm based approach

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