2023 Vol.6 Feb.No1 |
---|
|
Reference: Reference [1] Hasanov A, Laine TH, Chung TS.A survey of adaptive context‐aware learning environments.J Ambient Intell Smart Environ.2019;11(5):403‐428. [2] Guarin, C.E.L., Guzman, E.L., Gonzalez, F.A.A model to predict low academic performance at aspecific enrollment using data mining.Revista Iberoamericana de Tecnologias del Aprendizaje,2015 [3] Desmarais MC, Baker RS.A review of recent advances in learner and skill modeling in intelligent learning environments.User Model User‐Adapted Interact.2012;22(1‐2):9‐38. [4] Pelánek R.Bayesian knowledge tracing, logistic models, and beyond: an overview of learner modeling techniques.User Modeling and User‐Adapted Interaction.2017;27(3‐5):313‐350. [5] Thai‐Nghe N, Schmidt‐Thieme L.Multi‐relational factorization models for student modeling in intelligent tutoring systems.In: 2015 Seventh International Conference on Knowledge and Systems Engineering (KSE), IEEE; 2015:61‐66. [6] Guo, B., Zhang, R., Xu, G., Shi, C., Yang, L.Predicting students performance in educational datamining.InInternational symposium on educational technology, ISET 2015 [7] Guruler, H., Istanbullu, A., Karahasan, M..A new student performance analysing system usingknowledge discovery in higher educational databases.Computers & Education,2010 [8] Hämäläinen, W., & Vinni, M.Comparison of machine learning methods for intelligent tutoringsystems.InInternational conference on intelligent tutoring systems(pp.525–534): Springer.,2006 [9] Vie JJ, Kashima H.Knowledge tracing machines: factorization machines for knowledge tracing.In: Proceedings of the AAAI Conference on Artificial Intelligence.Vol.33; 2019:750‐757. [10] Huang Z, Liu Q, Chen Y, et al Learning or forgetting?A dynamic approach for tracking the knowledge proficiency of students.ACM Trans Inform Syst.2020;38(2):1‐33. [11] Gan W, Sun Y, Peng X, Sun Y.Modeling learner's dynamic knowledge construction procedure and cognitive item difficulty for knowledge tracing.Appl Intell.2020;50(11):3894‐3912. [12] Yang Y, Shen J, Qu Y, et al GIKT: a graph‐based interaction model for knowledge tracing.In: ECML PKDD.Lecture Notes in Computer Science.Vol 12457. Springer, Cham; 2020. doi:10.1007/978‐3‐030‐67658‐ 2_18 [13] Liu Q, Wu R, Chen E, et al Fuzzy cognitive diagnosis for modelling examinee performance.ACM Trans Intell Syst Technol.2018;9(4):1‐26. [14] Liu Y, Yang Y, Chen X, Shen J, Zhang H, Yu Y.Improving knowledge tracing via pre‐training question embeddings.In: Proceedings of the Twenty‐Ninth International Joint Conference on Artificial Intelligence; 2020. |
Tsuruta Institute of Medical Information Technology
Address:[502,5-47-6], Tsuyama, Tsukuba, Saitama, Japan TEL:008148-28809 fax:008148-28808 Japan,Email:jpciams@hotmail.com,2019-09-16