2021-22 Publication List

Book chapters

[1] Shin, J. & Gierl, M. J. (2022). A Technology-Enhanced Approach for Locating Timely and Relevant News Articles for Context-based Science Education. In A. Alavi (Ed.), Artificial Intelligence in STEM Education: The Paradigmatic Shifts in Research, Education, and Technology. Taylor & Francis. Link

[2] Gierl, M. J., Shin, J., & Firoozi, T. (2022). Automatic Item Generation. In R. Tierney, F. Rizvi, K. Erickan, & G. Smith (Eds.), International Encyclopedia of Education (4th Ed.). New York: Elsevier.

Peer-reviewed Journal

[3] Gierl, M. J., Shin, J., Firoozi, T., & Lai, H. (2022). Using Content Coding and Automatic Item Generation to Improve Test Security. Frontiers in Education, section Assessment, Testing and Applied Measurement

[4] Shin, J., Chen, F., Lu, C. & Bulut, O. (2021). Using time-series prediction to inform test administration decisions in computerized formative assessment. Journal of Computers in Education. DOI: 10.1007/s40692-021-00196-7

[5] Shin, J., & Bulut, O. (2021). Building an intelligent recommendation system for personalized test scheduling: A reinforcement learning approach. Behavior Research Methods. DOI: 10.3758/s13428-021-01602-9l Journal of Testing. https://doi.org/10.1080/15305058.2022.2070755

Peer-reviewed Conference Proceedings

[6] Rahimi, S., Walker, J., T., Lin, L., &Shin, J. (2022). In Pursuit of Creativity in Minecraft: A Mixed-Method Approach. In Proceedings of International Conference of the Learning Sciences 2022

[7] Banawan, M., Shin, J., Balyan, R., Leite, W. L., & McNamara, D. S. (2022). Mathematics Discussion Board Discourse Analysis. Math Discourse Linguistic Components (Cohesive Cues within a Math Discussion Board Discourse). In proceedings of the Ninth ACM Conference on Learning @ Scale (L@S `22). Association for Computing Machinery, New York, NY, USA, 389-394 https://doi.org/10.1145/3491140.3528320

[8] Shin, J., Balyan, R., Banawan, M., Leite, W. L., & McNamara, D. S (2021). Pedagogical Communication Language in Video Lectures: Empirical Findings from Algebra Nation. In Proceedings of International Conference of the Learning Sciences 2021 (p.323-329)

[9] Banawan, M., Balyan, R., Shin, J., Leite, W. L., & McNamara, D. S (2021). Linguistic Features of Discourse within an Algebra Online Discussion Board Authors. In Proceedings of Educational Data Mining Conference 2021.

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