Simulated Learners in Educational Technology: A Systematic Literature Review and a Turing-like Test

Author:

Käser TanjaORCID,Alexandron GioraORCID

Publisher

Springer Science and Business Media LLC

Subject

Computational Theory and Mathematics,Education

Reference223 articles.

1. Abdi, S., Khosravi, H., Sadiq, S. W., & Gasevic, D. (2019). A multivariate elo-based learner model for adaptive educational systems. In M.C. Desmarais, C. F.Lynch, A. Merceron, & R. Nkambou,(Eds.), Proceedings of the 12th International Conference on Educational Data Mining, EDM 2019, Montréal, Canada, July 2-5, 2019. International Educational Data Mining Society (IEDMS)

2. Alexandron, G., Yoo, L. Y., Ruipérez-Valiente, J. A., Lee, S., & Pritchard, D. E. (2019). Are mooc learning analytics results trustworthy? with fake learners, they might not be! International Journal of Artificial Intelligence in Education, 29, 484–506.

3. Arikan, Ç. A. (2018). The effect of mini and midi anchor tests on test equating. International Journal of Progressive Education, 14(2), 148–160.

4. Aşiret, S. & Sünbül, S.Ö. (2016). Investigating test equating methods in small samples through various factors. Educational Sciences: Theory & Practice, 16(2)

5. Badiee, F., & Kaufman, D. (2015). Design evaluation of a simulation for teacher education. Sage Open, 5(2), 2158244015592454.

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