Publications

The project is currently ongoing. Study results and related publications will be added to this page as the project continues.

Manuscripts

Lee, J., Jindal, A., Patki, S., Norum.,R., & Ottmar, E. (2023). A comparison of machine learning algorithms for predicting student performance in an online mathematics game. Interactive Learning Environments. 32(9), 5302-5316 https://doi.org/10.1080/10494820.2023.2212726

*Paper nominated for 2023 Best Paper Award- AERA Instructional Technology.

Thompson, T., St. John, J., Pradhan, S., & Ottmar, E. (2025). MathFlowLens Dashboard: Co-Designing Teacher Orchestration Tools to Engage in Discourse Around Students' Mathematical Strategies. Journal of Computer Assisted Learning. 41 (3)  https://doi.org/10.1111/jcal.70025

Pradhan, S., Ottmar, E., Gurung, A. & Lee, J. (minor revisions). MathFlowLens: A Classification And Visualization Tool for Analyzing Students’ Procedural Pathways. Education Technology Research and Development.

Conference Papers

Lee, J. E., Ottmar, E., Vanacore, K., Egorova, A., Botelho, A., &  Gurung, A. (2024). Investigations into the effects of hint reading time and hint type in an online mathematics game through response time decomposition. In C. Hoadley, & X. C. Wang (Eds.), Proceedings of the 18th International Conference of the Learning Sciences - ICLS 2024 (pp. 83-90). Buffalo, NY: International Society of the Learning Sciences.

Pradhan, S., Lee, J. E., Egorova, A., Jerusal, J., &  Ottmar, E. (2024). An application of data mining methods on in-game behaviors: Predicting student math performance. In C. Hoadley, & X. C. Wang (Eds.), Proceedings of the 18th International Conference of the Learning Sciences -ICLS 2024 (pp. 1007-1010). Buffalo, NY: International Society of the Learning Sciences.

Pradhan,S., Gurung, A., & Ottmar, E. (2024). Gamification and Deadending: Unpacking Performance Impacts in Algebraic Learning. In The 14th Learning Analytics and Knowledge Conference (LAK 2024). Kyoto, Japan. https://dl.acm.org/doi/abs/10.1145/3636555.3636929

Theses/Dissertations

Rua, C. (2025). Co-Designing MathFlowLens: A Teacher-Focused Tool for Identifying Strategic Thinking in Mathematics. Major Qualifying Project in Computer Science. Worcester Polytechnic Institute.

St. John, J. (2025). Empowering Teachers, Affecting Students: Moving Research to Practice. PhD Dissertation in Learning Sciences and Technology. Worcester Polytechnic Institute. 

Thompson, T. (2025). Transforming Teaching Through Learning Sciences: Leveraging Perceptual Cues, Student Work, and Technology for Enhanced Mathematics Instruction.PhD Dissertation in Learning Sciences and Technology. Worcester Polytechnic Institute. 

Pradhan, S. (2024). The Findings and Developed Tools from the Exploration of Procedural Pathways to Bolster Algebraic Knowledge. Masters Thesis for Data Science. Worcester Polytechnic Institute. 

Book Chapter

Vanacore, K. P., Lee, J., Egorova, A., & Ottmar, E. (2023). Beyond Performance Analytics: Using Learning Analytics to Understand Learning Processes That Lead to Improved Learning Outcomes. In G. Durak & S. Cankaya (Eds.), Perspectives on Learning Analytics for Maximizing Student Outcomes (pp. 168-187). IGI Global. https://doi.org/10.4018/978-1-6684-9527-8.ch009