1. Faculty and Staff
  2. Faculty
  3. Michelle P. Banawan, PhD

Expertise

  • Data Science, Data Curation, Data Analytics, Databases and Organization of Data Systems Analysis and Design, Information Management

Research Interests

  • Natural Language Processing and Computational Linguistics, Databases and Data Analytics, Machine Learning
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Michelle P. Banawan, PhD

Assistant Professor
Academic Program Director, Bachelor of Science in Data Science and Business Administration

Academic Background

  • PhD in Computer Science, Ateneo de Manila University
  • Master of Science in Information Technology, Ateneo de Davao University
  • Master in Management, University of the Philippines in Mindanao
  • Bachelor of Science in Computer Science, Pamantasan ng Lunsod ng Maynila

Professional and Academic Experience

  • Post-doctoral Researcher, Arizona State University
  • Associate Professor, Ateneo de Davao University
  • Board of Examiner/ Question Contributor, PhilNITS (formerly JITSE) with Japan IT Engineers Examination Center (JITEC)
  • Information Systems Specialist, City Government of Davao

Affiliations, Awards, and Honors

  • Program Committee, Educational Data Mining  
  • Member, Asia Pacific Society for Computers in Education
  • Associate Member, National Research Council of the Philippines

Peer-Reviewed Journals

  • 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. https://doi.org/10.1016/j.compedu.2023.104897.
  • 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. https://doi.org/10.1016/j.ijhcs.2023.103059
  • 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. http://dx.doi.org/10.3390/computers12030053

Peer-Reviewed Conference Proceedings

  • Banawan, M. P. (2023). Composite score for ChatGPT prompt efficiency: A computational linguistic analysis of engineered chatbot prompts. 31st International Conference on Computers in Education, ICCE 2023 - Proceedings, 1, pp. 58–67.
  • Banawan, M. P., Shin, J., Balyan, R., Leite, W. L., & McNamara, D. S. (2022). Math discourse linguistic components (cohesive cues within a math discussion board discourse). Proceedings of the 9th ACM Conference on Learning @ Scale, 389–394. https://doi.org/10.1145/3491140.3528320.
  • Balyan, R., Arner, T., Taylor, K., Shin, J., Banawan, M. P., Leite, W., & McNamara, D. (2022). Modeling one-on-one online tutoring discourse using an accountable talk framework. Proceedings of the 15th International Conference on Educational Data Mining, 477–48. https://doi.org/10.5281/zenodo.6852936.
  • Banawan, M. P. (2021). How do learners learn: Behavioral profiles of high school Math learners. Proceedings of the 2021 IEEE International Conference on Engineering, Technology & Education, DOI: 10.1109/TALE52509.2021.9678845.
  • Wan, Q., Crossley, S., Banawan, M. P., Balyan, R., Tian, Y., McNamara, D., & Allen, L. (2021). Automated claim identification using NLP features in student argumentative essays. Proceedings of the 14th International Conference on Educational Data Mining, 375-383
  • Banawan, M. P., Lumapas, R. V.W., Ocumpaugh, J. L., & Rodrigo, M. M. T. (2019). An investigation of affect within ibigkas!: An Educational Game for English. In M. Chang, H. J. So, L. H. Wong, F. Y. Yu, & J. L. Shih (Eds.), Proceedings of the 27th International Conference on Computers in Education Conference,2, 246–251.
  • Dumdumaya, C. E., Banawan, M. P., & Rodrigo, M. M. T. (2018). Identifying students' persistence profiles in problem solving task. Proceedings of the Adjunct Publication of the 26th Conference on User Modeling, Adaptation and Personalization, 281–286. https://doi.org/10.1145/3213586.3225237
  • Banawan, M. P, & Rodrigo, M. M. (2018). Cluster-based outlier analysis of carefulness among students using physics playground. Proceedings of the 26th International Conference on Computers in Education, 98-100.
  • Ogan, A., Yarzebinski, E., De Roock, R., Dumdumaya, C., Banawan, M. P., & Rodrigo, M. M. (2017). Proficiency and preference using local language with a teachable agent. In E. André, R. Baker, X. Hu, M. Rodrigo, & B. du Boulay (Eds), Artificial Intelligence in Education. AIED 2017. Lecture Notes in Computer Science, 10331. Springer, Cham. https://doi.org/10.1007/978-3-319-61425-0_61
  • Banawan, M. P., Rodrigo, M. M. T., & Andres, J. M. L. (2017). Predicting student carefulness within an educational game for physics using support vector machines. In W. Chen et al. (Eds.), Proceedings of the 25th International Conference on Computers in Education (pp. 62-67).
  • Dumdumaya, C., Banawan, M. P., Rodrigo, M. M., Ogan, A., Yarzebinski, E., & Matsuda, N. (2017). Investigating the effects of cognitive and metacognitive scaffolding on learners using a learning by teaching environment. Proceedings of the 25th International Conference on Computers in Education, 1-10.
  • Andres, J. M. L., Rodrigo, M. M. T., Sugay, J. O., Banawan, M. P., Paredes, Y. V. M., Cruz, J. S. D., & Palaoag, T. D. (2015). More fun in the Philippines? Factors affecting transfer of western field methods to one developing world context. In J. Boticario, & K. Muldner (Eds.), Proceedings of the 17th International Conference on Artificial Intelligence in Education. Madrid, Spain.
  • Banawan, M. P., Rodrigo, M. M. T., & Andres, J. M. L. (2015). An investigation of frustration among students using physics playground. In H. Ogata et al. (Eds.), Proceedings of the 23rd International Conference on Computers in Education. China: Asia-Pacific Society for Computers in Education
  • Banawan, M. P., Villamor, M., Paredes, Y. V., Tecson, C., Badoy, W., Geralde, J. R., & Rodrigo, M. M. (2014). An examination of affect and its relationship with learning among students using simstudent. In C.-C. Liu et al. (Eds.), Proceedings of the 22nd International Conference on Computers in Education. Japan: Asia-Pacific Society for Computers in Education

BOOK CHAPTER

  • Banawan, M. P., Butterfuss, R., Taylor, K. S., et al. (2023). The Future of Intelligent Tutoring Systems for Writing. In Digital Writing Technologies in Higher Education, 365–383. https://doi.org/10.1007/978-3-031-36033-6_23
  • Banawan, M. P., & Rodrigo, M. M. (2019). An investigation of carefulness among students using an educational game for Physics. In S. Y. Nishizaki, M. Numao, J. Caro, & M. Suarez (Eds.), Theory and Practice of Computation Proceedings of the Workshop on Computation: Theory and Practice (1st Edition ed., p. 8). London: Taylor & Francis Group. https://doi.org/10.1201/9780429261350

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