An Empirical Evaluation of Educational Data Mining Techniques in a Dynamic VR Application-Reference-Cited by-同舟云学术

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An Empirical Evaluation of Educational Data Mining Techniques in a Dynamic VR Application

Published:2023-12-02 Issue: Volume:5 Page:604-623
ISSN:
Container-title:Proceedings of the 35th Australian Computer-Human Interaction Conference
language:
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Author:

Khorasani Sara¹^ORCID,Nawaz Sadia²^ORCID,Syiem Brandon Victor³^ORCID,Wei Jing⁴^ORCID,Pardos Zachary A.⁵^ORCID,Knibbe Jarrod⁶^ORCID,Velloso Eduardo⁶^ORCID

Affiliation:

1. Computer and Information Systems, University of Melbourne, Australia

2. Monash University, Australia

3. Queensland University of Technology, Australia

4. CSIRO, Australia

5. Berkeley School of Education, University of California Berkeley, United States

6. School of Computing and Information Systems, University of Melbourne, Australia

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3638380.3638387

Reference65 articles.

1. Learning analytics of embodied design: Enhancing synergy

2. Properties of the Bayesian Knowledge Tracing Model;Sande B. V. D.;Journal of Educational Data Mining,2013

3. Anirudhan Badrinath Fr’ed’eric Wang and Z. Pardos. 2021. pyBKT: An Accessible Python Library of Bayesian Knowledge Tracing Models. ArXiv abs/2105.00385 (2021).

4. More Accurate Student Modeling through Contextual Estimation of Slip and Guess Probabilities in Bayesian Knowledge Tracing

5. Task Complexity: A Review and Analysis

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