Prof. Mireille Boutin
 

Data Science and ML in Education Research

In this body of work, we use a combination of modeling (parametric random processes) and machine learning (some of our home-brewed methods) to analyze (non-homogeneous, qualitative, mixed,...) educational data, make observations, and draw conclusions. Some of our methods are particularly well-suited for analyzing small data sets (e.g., 25 students) in high-dimension.



  1. • T. Yellamraju, A.J. Magana, M. Boutin, “Investigating Students’ Habits of Mind in a course on Digital Signal Processing,” to appear in IEEE Transactions on Education (2019).


  1. •A.J. Magana, S. Elluri, C. Dasgupta, Y.Y. Seah, A. Madamanchi, and M. Boutin, “The Role of Computer-Based and Teacher Feedback on Middle School Students Self-Generated Heuristics in the Context of a Design Challenge,” to appear in Journal of Science Education and Technology (2019).

  2. •C. Vieira, A. Magana, M. Boutin, “Add-on Preferential Groups (APG): Analyzing student preferences of teaching methods,” Computer Applications in Engineering Education 26, no. 4, 2018, pp. 1020-1032.

  3. •A. Magana, C. Vieira, M. Boutin, “Characterizing Engineering Learners Preferences of Active and Passive Learning Activities,” IEEE Transactions on Education, Vol. 61, No.1, Feb. 2018, pp. 46 - 54.

  4. •A. Magana, M. Boutin, “A Principled Approach to Using Machine Learning for Enhancing Qualitative Education Research,” IEEE Frontiers in Education Conference, October 3-6, San Jose, CA, 2018.

  5. •T. Williams, K. Douglas, M. Boutin, “Characterizing MOOC Learners from Survey Data Using Modeling and RP1D Clustering,” American Society for Engineering Education (ASEE) Annual Conference & Exposition, June 24-27, Salt Lake City, Utah, 2018.

  6. •C. Vieira, A.J. Magana, M. Boutin, “Using Pattern Recognition Techniques to Analyze Educational Data,” IEEE Frontiers in Education Conference, October 18-21, Indianapolis, IN, 2017.

  7. •T. Yellaramju, A. Magana, M. Boutin, “Investigating Engineering Students Habits of Mind: A Case Study Approach,” American Society for Engineering Education (ASEE) Annual Conference & Exposition, June 25- 28, Columbus, OH, 2017.