Self-Regulated Learning Styles in Hybrid Learning Using Educational Data Mining Analysis-Reference-Cited by-同舟云学术

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Self-Regulated Learning Styles in Hybrid Learning Using Educational Data Mining Analysis

Published:2022-12-21 Issue: Volume: Page:
ISSN:
Container-title:2022 26th International Computer Science and Engineering Conference (ICSEC)
language:
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Author:

Nuankaew Pratya¹,Nasa-Ngium Patchara²,Nuankaew Wongpanya S.³

Affiliation:

1. University of Phayao,School of Information and Communication Technology,Phayao,Thailand

2. Rajabhat Maha Sarakham University,Faculty of Science and Technology,Maha Sarakham,Thailand

3. Rajabhat Maha Sarakham University,Faculty of Information Technology,Maha Sarakham,Thailand

Funder

University of Phayao

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10049307/10049308/10049322.pdf?arnumber=10049322

Reference20 articles.

1. A Conceptual Model for Measuring and Supporting Self-Regulated Learning using Educational Data Mining on Learning Management Systems

2. The concept of hybrid human-AI regulation: Exemplifying how to support young learners’ self-regulated learning

3. The State of Educational Data Mining in 2009: A review and future visions;baker;Journal of Educational Data Mining,2009

4. Self-regulated learning strategies & academic achievement in online higher education learning environments: A systematic review

5. A simple and fast algorithm for K-medoids clustering

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Adaptive learning in programming education: A systematic mapping of the literature;2023 IEEE Frontiers in Education Conference (FIE);2023-10-18

2. A Review of Learners' Self-Regulated Learning Behavior Analysis Using Log-Data Traces;2023 IEEE 12th International Conference on Engineering Education (ICEED);2023-08-29

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