AI and Big Data in Education: Learning Patterns Identification and Intervention Leads to Performance Enhancement-Reference-Cited by-同舟云学术

AI and Big Data in Education: Learning Patterns Identification and Intervention Leads to Performance Enhancement

Published:2023 Issue:1 Volume:3 Page:Inv-p002-Inv-p002
ISSN:2436-1712
Container-title:Information and Technology in Education and Learning
language:en
Short-container-title:ITEL

Author:

Yang Stephen J.H.¹,Lin Chien-Chang¹,Huang Anna Y.Q.¹,Lu Owen H.T.²,Hou Chia-Chen¹,Ogata Hiroaki³

Affiliation:

1. National Central University, Taiwan

2. National Chengchi University, Taiwan

3. Kyoto University, Japan

Publisher

Japanese Society for Information and Systems in Education

Subject

General Medicine

Link

https://www.jstage.jst.go.jp/article/itel/3/1/3_3.1.Inv.p002/_pdf

Reference48 articles.

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2. [2] S. Frank, A. Nussbaumer, and C. Gütl, “Analyzing user behavior in a self-regulated learning environment,” in Innovations in Learning and Technology for the Workplace and Higher Education: Proc. ‘The Learning Ideas Conference’ 2021, 2022: Springer, pp. 89–98.

3. [3] F. Han and R. A. Ellis, “Predicting students’ academic performance by their online learning patterns in a blended course,” J. Educ. Technol. Soc., vol. 24, no. 1, pp. 191–204, 2021.

4. [4] M. C. Sáiz Manzanares, R. Marticorena Sánchez, C. I. García Osorio, and J. F. Díez-Pastor, “How do B-learning and learning patterns influence learning outcomes?” Front. Psychol., vol. 8, p. 745, 2017.

5. [5] Y. Tang, Z. Li, G. Wang, and X. Hu, “Modeling learning behaviors and predicting performance in an intelligent tutoring system: A two-layer hidden Markov modeling approach,” in Interactive Learning Environments, Routledge, 2021, pp. 1–13.

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1. Preface to Volume 3: The Potential of One Tablet Per Student for Supporting Individualized Learning and Collaborative Learning;Information and Technology in Education and Learning;2023