Personalized Learning in Science Recommendation System based on Learners’ Preferences-Reference-Cited by-同舟云学术

Personalized Learning in Science Recommendation System based on Learners’ Preferences

Published:2022-03-09 Issue: Volume: Page:
ISSN:
Container-title:2022 3rd International Conference on Education Development and Studies
language:
Short-container-title:

Author:

Cheong Ngai¹

Affiliation:

1. Department of Science in Computing, Faculty of Applied Sciences, Macao Polytechnic University, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3528137.3528161

Reference21 articles.

1. Jaeger , A. J. , Wiley , J. , Moher, T. ( 2016 ). Leveling the playing field: Grounding learning with embedded simulations in geoscience. Cognitive Research: Principles and Implications1(1), 23. Jaeger, A. J., Wiley, J., Moher, T. (2016). Leveling the playing field: Grounding learning with embedded simulations in geoscience. Cognitive Research: Principles and Implications1(1), 23.

2. Combination of machine learning algorithms for recommendation of courses in E-Learning System based on historical data

3. Learning materials recommendation using good learners’ ratings and content-based filtering

4. Courseware Recommendation in E-Learning System

5. E-Learning personalization based on hybrid recommendation strategy and learning style identification

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