Building an intelligent recommendation system for personalized test scheduling in computerized assessments: A reinforcement learning approach-Reference-Cited by-同舟云学术

Building an intelligent recommendation system for personalized test scheduling in computerized assessments: A reinforcement learning approach

Published:2021-06-15 Issue: Volume: Page:
ISSN:1554-3528
Container-title:Behavior Research Methods
language:en
Short-container-title:Behav Res

Author:

Shin Jinnie^ORCID,Bulut Okan

Publisher

Springer Science and Business Media LLC

Subject

General Psychology,Psychology (miscellaneous),Arts and Humanities (miscellaneous),Developmental and Educational Psychology,Experimental and Cognitive Psychology

Link

https://link.springer.com/content/pdf/10.3758/s13428-021-01602-9.pdf

Reference51 articles.

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2. Angus, S. D., & Watson, J. (2009). Does regular online testing enhance student learning in the numerical sciences? robust evidence from a large data set. British Journal of Educational Technology, 40(2), 255–272.

3. Bellman, R. (1954). The theory of dynamic programming. Technical Report. Rand Corp Santa Monica CA.

4. Bennett, R. E. (2011). Formative assessment: A critical review. Assessment in Education: Principles, Policy & Practice, 18(1), 5–25.

5. Black, P., & Harrison, C. (2001). Feedback in questioning and marking: The science teacher’s role in formative assessment. School Science Review, 82(301), 55–61.

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