References
- Baker, R. S., Corbett, A. T., & Aleven, V. (2008). More accurate student modeling through contextual estimation of slip and guess probabilities in Bayesian knowledge tracing. Lecture Notes in Computer Science, 5091, 406–415. doi: https://doi.org/10.1007/978-3-540-69132-7_44
- Corbett, A. T., & Anderson, J. R. (1994). Knowledge tracing: Modeling the acquisition of procedural knowledge. User Modeling and User-Adapted Interaction, 4(4), 253–278. doi: https://doi.org/10.1007/BF01099821
- Khajah, M. M., Wing, R. M., Lindsey, R. V., & Mozer, M. C. (2014). Integrating latent-factor and knowledge-tracing models to predict individual differences in learning. Journal of Nursing Education, 39(9), 409–411.
- Lin, C., & Chi, M. (2016). Intervention-BKT: Incorporating instructional interventions into Bayesian knowledge tracing. International Conference on Intelligent Tutoring Systems. Springer, Cham.
- Pardos, Z. A., & Heffernan, N. T. (2010). Modeling individualization in a Bayesian networks implementation of knowledge tracing. International Conference on User modeling.
- Pardos, Z. A., & Heffernan, N. T. (2011). KT-IDEM: Introducing item difficulty to the knowledge tracing model. User modeling, adaption and personalization. Springer Berlin Heidelberg.
- Yudelson, M. V., Koedinger, K. R., & Gordon, G. J. (2013). Individualized Bayesian knowledge tracing models. International Conference on Artificial Intelligence in Education.
- Zhang, K., & Yao, Y. (2018). A three learning states Bayesian knowledge tracing model. Knowledge-Based Systems, 148, S0950705118301199.