Using an integrated probabilistic clustering approach to detect student engagement across asynchronous and synchronous online discussions
Author:
Funder
Fundamental Research Funds for the Central Universities (Year 2023), Zhejiang University
Publisher
Springer Science and Business Media LLC
Subject
Education,General Computer Science
Link
https://link.springer.com/content/pdf/10.1007/s12528-023-09394-x.pdf
Reference78 articles.
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2. Akaike, H. (1987). Factor analysis and AIC. Psychometrika, 52(3), 317–332. https://doi.org/10.1007/BF02294359
3. Appleton, J. J., Christenson, S. L., & Furlong, M. J. (2008). Student engagement with school: Critical conceptual and methodological issues of the construct. Psychology in the Schools, 45(5), 369–386. https://doi.org/10.1002/pits.20303
4. Barthakur, A., Kovanovic, V., Joksimovic, S., Siemens, G., Richey, M., & Dawson, S. (2021). Assessing program-level learning strategies in MOOCs. Computers in Human Behavior, 117, 106674. https://doi.org/10.1016/j.chb.2020.106674
5. Bauer, J. (2022). A primer to latent profile and latent class analysis. In M. Goller, E. Kyndt, S. Paloniemi, & C. Damşa (Eds.), Methods for researching professional learning and development (Vol. 33, pp. 243–268). Springer International Publishing. https://doi.org/10.1007/978-3-031-08518-5_11
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