A Fair Clustering Approach to Self-Regulated Learning Behaviors in a Virtual Learning Environment-Reference-Cited by-同舟云学术

A Fair Clustering Approach to Self-Regulated Learning Behaviors in a Virtual Learning Environment

Published:2024-03-18 Issue: Volume:5 Page:771-778
ISSN:
Container-title:Proceedings of the 14th Learning Analytics and Knowledge Conference
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Author:

Song Yukyeong¹^ORCID,Li Chenglu²^ORCID,Xing Wanli¹^ORCID,Li Shan³^ORCID,Lee Hakeoung Hannah⁴^ORCID

Affiliation:

1. University of Florida, USA

2. University of Utah, USA

3. Lehigh University, USA

4. The University of Texas, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3636555.3636863

Reference40 articles.

1. Understanding and Reasoning about Real-Time Cognitive, Affective, and Metacognitive Processes to Foster Self-Regulation with Advanced Learning Technologies

2. Clustering and profiling students according to their interactions with an intelligent tutoring system fostering self-regulated learning;Bouchet François;Journal of Educational Data Mining,2013

3. How does self-regulated learning influence formative assessment and summative grade? Comparing online and blended learners

4. Flavio Chierichetti, Ravi Kumar, Silvio Lattanzi, and Sergei Vassilvitskii. 2017. Fair clustering through fairlets. Advances in neural information processing systems 30 (2017).

5. Development of the human interaction dimension of the Self‐Regulated Learning Questionnaire in asynchronous online learning environments

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