Modeling and predicting students’ engagement behaviors using mixture Markov models-Reference-Cited by-同舟云学术

Modeling and predicting students’ engagement behaviors using mixture Markov models

Published:2022-04-07 Issue:5 Volume:64 Page:1349-1384
ISSN:0219-1377
Container-title:Knowledge and Information Systems
language:en
Short-container-title:Knowl Inf Syst

Author:

Maqsood Rabia^ORCID,Ceravolo Paolo^ORCID,Romero Cristóbal^ORCID,Ventura Sebastián^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Hardware and Architecture,Human-Computer Interaction,Information Systems,Software

Link

https://link.springer.com/content/pdf/10.1007/s10115-022-01674-9.pdf

Reference54 articles.

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3. Beal CR, Qu L, Lee H (2006) Classifying learner engagement through integration of multiple data sources. In: AAAI, pp 151–156

4. Beal C, Mitra S, Cohen P (2007) Modeling learning patterns of students with a tutoring system using hidden Markov model. In: Luckin R et al (eds) Proceedings of the 13th international conference on Artificial intelligence in education (AIED). Marina del Rey

5. Biernacki C, Celeux G, Govaert G (2003) Choosing starting values for the EM algorithm for getting the highest likelihood in multivariate gaussian mixture models. Comput Stat Data Anal 41(3–4):561–575

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