Michelle Banawan

Summary of Research and Publications for the Last 5 years

1. Banawan, M., Arner, T., & McNamara, D. S. (2026). A Predictive Learning Engineering Framework for Modeling Active Learning. In Craig, S. D., Arner, T., & McNamara, D. S. (Eds.), Proceedings of the Learning Engineering Research Network Convening (LERN 2026): From Insights to Implementation, Learning Engineering in Action. LERN Convention Proceedings. https://doi.org/10.59668/2551.25362
2. Banawan, M., Huynh, L., Christhilf, K., & McNamara, D. S. (2026). Engineering a Semantic Topicality Instrument for Multiple-Choice Question Quality Control. In Craig, S. D., Arner, T., & McNamara, D. S. (Eds.), Proceedings of the Learning Engineering Research Network Convening (LERN 2026): From Insights to Implementation, Learning Engineering in Action. LERN Convention Proceedings. https://doi.org/10.59668/2551.25371
3. Chakraborty, S., Tian, Y., Banawan, M., Potter, A., Huynh, L., Yajjapurapu, Y., & McNamara, D. S. (2026). Automated Run-on Sentence Detection and Correction for Educational Writing. In Craig, S. D., Arner, T., & McNamara, D. S. (Eds.), Proceedings of the Learning Engineering Research Network Convening (LERN 2026): From Insights to Implementation, Learning Engineering in Action. LERN Convention Proceedings. https://doi.org/10.59668/2551.25361
4. Banawan, M. (2025, September). Measuring Semantic Fidelity in Student Discussion Posts. In International Conference on Learning Evidence and Analytics.
5. Banawan, M. P., Monterozo, C. J., & Rodrigo, M. M. T. (2024). Exploring linguistic sophistication of discussion board posts in university learning management systems. In A. Kashihara et al. (Eds.), Proceedings of the 32nd International Conference on Computers in Education. Asia-Pacific Society for Computers in Education. https://doi.org/10.58459/icce.2024.4860 
6. Shin, J., Balyan, R., Banawan, M. P., Arner, T., Leite, W. L., & McNamara, D. S. (2024). Analyzing interaction patterns and content dynamics in an online mathematics discussion board. Interactive Learning Environments, 1-24. 
7. Michelle Banawan, Elias John Kukas, John Richard Tano, Adonna Tan, and Ramil Villegas. 2024. Transformative Approach to Fairness and Transparency in Classroom Participation Assessment. In Proceedings of the Eleventh ACM Conference on Learning @ Scale (L@S '24). Association for Computing Machinery, New York, NY, USA, 501–504. https://doi.org/10.1145/3657604.3664708
8. Banawan, M. 31st International Conference on Computers in Education, ICCE 2023 - Proceedings, 2023, 1, pp. 58–67. Composite Score for ChatGPT Prompt Efficiency: A Computational Linguistic Analysis of Engineered Chatbot Prompts
9. Shin, J., Balyan, R., Banawan, M. P., Arner, T., Leite, W. L., & McNamara, D. S. (2023). Pedagogical discourse markers in online algebra learning: Unraveling instructor's communication using natural language processing. Computers & Education, 205, 104897.
10. Banawan, Michelle, Reese Butterfuss, Karen S. Taylor, Katerina Christhilf, Claire Hsu, Connor O’Loughlin, Laura K. Allen, Rod D. Roscoe, and Danielle S. McNamara. "The Future of Intelligent Tutoring Systems for Writing." In Digital Writing Technologies in Higher Education: Theory, Research, and Practice, pp. 365-383. Cham: Springer International Publishing, 2023.
11. Roscoe, R. D., Balyan, R., McNamara, D. S., Banawan, M., & Schillinger, D. (2023). Automated strategy feedback can improve the readability of physicians’ electronic communications to simulated patients. International Journal of Human-Computer Studies, 176, 103059.
12. Banawan, M. P., Shin, J., Arner, T., Balyan, R., Leite, W. L., & McNamara, D. S. (2023). Shared Language: Linguistic Similarity in an Algebra Discussion Forum. Computers, 12(3), 53.
13. Michelle Banawan, Jinnie Shin, Renu Balyan, Walter Leite, & Danielle McNamara. 2022. 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), June 1 – 3, 2022, New York City, NY, USA. ACM, New York, NY, USA.  
14. Michelle Banawan, Kathryn McCarthy, Laura Allen, Joseph Magliano and Danielle Mcnamara Linguistic Indicators of Sourcing Strategies in Students’ Constructed Responses. In Proceedings of 32nd Annual Meeting of the Society for Text and Discourse [online], July 19 – 21, 2022
15. Balyan, R., Arner, T., Taylor, K., Shin, J., Banawan, M., Leite, W., & McNamara, D. (2022). Modeling One-on-one Online Tutoring Discourse using an Accountable Talk Framework. In Proceedings of the 15th International Conference on Educational Data Mining (p. 477).
16. M. Pacifico-Banawan, "How do Learners Learn: Behavioral Profiles of High School Math Learners," 2021 IEEE International Conference on Engineering, Technology & Education (TALE), 2021, pp. 353-358, doi: 10.1109/TALE52509.2021.9678845.
17. Banawan, M., Balyan, R., Shin, J., Leite, W. L., & McNamara, D. (2021). Linguistic Features of Discourse within an Algebra Online Discussion Board. In Proc. The 14th Conference on Education Data Mining, Paris, France, June 29th–July 2nd.
18. Wan, Q., Crossley, S. A., Banawan, M., Balyan, R., McNamara, D. S., & Allen, L. (2021). Automated Claim Identification Using NLP Features in Student Argumentative Essays. In. F. Bouchet, J. Vie, S. Hsiao, & S. Sahebi (Eds.), Proceedings of the 14th International Conference on Educational Data Mining (EDM-2021): International Education Data Mining Society.
19. 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 de Vries, E., Hod, Y., & Ahn, J. (Eds.), Proceedings of the 15th International Conference of the Learning Sciences - ICLS 2021. (pp. 323-329). Bochum, Germany: International Society of the Learning Sciences. (https://doi.dx.org/10.22318/icls2021.323)
20. Shin, J., Balyan, R., Banawan, M., Leite, W. L., & McNamara, D. S (2021, April). Discovering Pedagogical Communication Strategies with Algebra Tutoring videos with a Theory-based NLP Approach. 2021 Annual Meeting of American Education Research Association (AERA) (Online)
21. Banawan, M., Perret, C., Oncel, P., Creer, S., McNamara, D., & Allen, L. (Nov. 2020). Cohesion and Action: NLP Reveals Principal Components of COVID-19 Tweets. 50th Annual Conference of the Society for Computation in Psychology (SCIP) (Online) [Accepted Abstract & Spoken Presentation]
22. Shin, J., Balyan, R., Banawan, M., Leite, W. L., & McNamara, D. S (Nov, 2020). Combining Discourse Analysis and Natural Language Processing: Revealing Patterns of Pedagogical Communication in Algebra Tutoring. 2021 Annual Meeting of the Society for Computation in Psychology (SCIP) (Online)
23. Banawan, M. P., & Rodrigo, M. M. T. (2019, September). An investigation of carefulness among students using an educational game for Physics. In Theory and Practice of Computation: Proceedings of the Workshop on Computation: Theory and Practice (WCTP 2018), September 17-18, 2018, Manila, The Philippines (p. 1). CRC Press. [Peer-reviewed Book Chapter]