2022-23 Publication List (latest)

A list of peer-reviewed journal publications and conference proceedings

February 20, 2023

Book chapters

[1] Shin, J. & Demmans epp, C. (in press). Improving Academic Writing Analysis with Educational Data Science: Focusing on Cohesion in Academic Writing. Educational Data Science: Essentials, Approaches, and Tendencies – Proactive Education based on Empirical Big Data Evidence

Peer-reviewed Journal

[2] Banawan, M., Shin, J., Balyan, R., Leite, W. L., & McNamara, D. S (in press). Shared Language: Linguistic Similarity in an Algebra Discussion Forum. Computers.

[3] Rahimi, S., Walker, J. T., Lin, L., & Shin, J. (2022). Toward Defining and Assessing Creativity in Sandbox Games. Creativity Research Journal. https://doi.org/10.1080/10400419.2022.2156477

[4] Bulut, O., Nur Yildirim-Erbasli, S., Gorgun, G., Gao, Y., Wongvorachan, T., Lai, K., & Shin, J. (2022). Standing on the Shoulders of Giants: Using Formative Assessments as the Foundation for Predictive Learning Analytics Models. British Journal of Educational Technology. http://doi.org/10.1111/bjet.13276

[5] Bulut, O., Shin, J., & Cormier, D. C. (2022) Learning Analytics and Computerized Formative Assessments: An Application of Dikstra’s Shortest Path Algorithm for Personalized Test Scheduling. Mathematics 10, no. 13: 2230. https://doi.org/10.3390/math10132230

[6] Shin, J. & Gierl, M. J., (2022). Evaluating Coherence in Writing: Comparing the Capacity of Automated Essay Scoring Technologies. Journal of Applied Testing Technology.

[7] Shin, J. & Gierl, M. J. (2022). Automated Generation of Fill-in-the-blank Questions for Reading Comprehension Examinations. International Journal of Testing. https://doi.org/10.1080/15305058.2022.2070755

Peer-reviewed Conference Proceedings

[8] Shin, J., Bulut. O, & ᴳPinto Junior, N. W. (2022). Evaluating the Fairness of Learning Analytics Algorithm and Student Preparedness for Online Education. In Proceedings of Educational Data mining Conference 2022

[9] Walsh, C., MacIntosh, A., Bulut O., & Shin, J. (2022). What are we measuring?: A topic modeling framework to map professionalism aspects to responses in Situational Judgment Tests. In Companion Proceedings of the 12th International Conference on Learning Analytics & Knowledge (LAK22)

[10] Balyan, R., Arner, T., Taylor, K., Shin, J., Banawan, M., Leite, W. L., & McNamara, D. S. (2022). Modeling one-on-one online tutoring discourse using an Accountable Talk Framework. In Proceedings of Educational Data mining Conference 2022

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Code are available at https://github.com/jinnieshinufl
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Posted on:
February 20, 2023
Length:
2 minute read, 336 words
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