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

Author:

Khorasani Sara1ORCID,Nawaz Sadia2ORCID,Syiem Brandon Victor3ORCID,Wei Jing4ORCID,Pardos Zachary A.5ORCID,Knibbe Jarrod6ORCID,Velloso Eduardo6ORCID

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

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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