Publications – Virtual Learning Environments

Leite, W. L., Roy, S., Chakraborty, N., Michailidis, G., Huggins-Manley, A. C., D’Mello, S. K., Faradonbeh, M. K. S., Jensen, E., Kuang, H. & Jing, Z. (2022). A novel video recommendation system for algebra: An effectiveness evaluation study. In LAK22: 12th International Learning Analytics and Knowledge Conference (LAK22), March 21–25, 2022, Online, USA. ACM, New York, NY, USA, https://doi.org/10.1145/3506860.3506906

Chakraborty, N., Roy, S., Leite, W. L., Faradonbeh, M. K. S., & Michailidis, G. (2021). The effects of a personalized recommendation system on students’ high-stakes achievement scores: A field experiment. The 14th Conference on Education Data Mining, June 29th – July 2nd Paris, France.

Mitten, C., Collier, Z. K., & Leite, W. L. (2021). Online Resources for Mathematics: Exploring the Relationship between Teacher Use and Student Performance. Investigations in Mathematics Learning, 1-18. https://doi.org/10.1080/19477503.2021.1906041

Kim, D., Lee, Yongseok, Leite, W. L., Huggins-Manley, A. C. (2020). Exploring student and teacher usage patterns associated with student attrition in an open educational resource-supported online learning platform. Computers & Education, 156, https://doi.org/10.1016/j.compedu.2020.103961

Leite, W. L. , Cetin-Berber, D. D., Huggins-Manley, A. C., Collier, Z. K., & Beal, C. R. (2019). The relationship between Algebra Nation usage and high‐stakes test performance for struggling students. Journal of Computer Assisted Learning, 35, 569–581. https://doi.org/10.1111/jcal.12360

Shin, J., Balyan, R., Banawan, M., Leite, W. L., McNamara, D. (upcoming). Combining Discourse Analysis and Theory-driven Natural Language Processing: Revealing Distinct Patterns of Pedagogical Communication in Algebra Tutoring.

Shin, J., Balyan, R., Banawan, M., Leite, W. L., McNamara, D. (2021). Pedagogical Communication Language in Video Lectures: Empirical Findings from Algebra Nation. 2021 Meeting of the International Society of Learning Sciences. https://repository.isls.org/bitstream/1/7484/1/323-329.pdf

Banawan, M., Balyan, R., Shin, J., Leite, W. L., McNamara, D. (2021). Linguistic Features of Discourse within an Algebra Online Discussion Board. The 14th Conference on Education Data Mining, June 29th – July 2nd Paris, France. https://educationaldatamining.org/EDM2021/virtual/static/pdf/EDM21_paper_89.pdf

Huggins-Manley, A. C., Beal, C. R., D’Mello, S. K., Leite, W. L., Cetin-Berber, D. D., Kim, D., & McNamara, D. S. (2019). A commentary on construct validity when using operational virtual learning environment data in effectiveness studies. Journal of Research on Educational Effectiveness, 12, 750-759. https://doi.org/10.1080/19345747.2019.1639869

Katz, D., Huggins-Manley, A. C., & Leite, W. L. (in press). Personalized online learning, test fairness, and educational measurement: Considering differential content exposure prior to a high stakes end-of-course exam. Applied Measurement in Education.

Li, C., Xing, W., & Leite, W. L. (2021). Yet Another Predictive Model? Fair Predictions of Students’ Learning Outcomes in an Online Math Learning Platform. Proceedings of the 11th International Learning Analytics and Knowledge Conference (LAK21). https://doi.org/10.1145/3448139.3448200

Li C., Xing W., Leite W. (2021) Using Fair AI with Debiased Network Embeddings to Support Help Seeking in an Online Math Learning Platform. In: Roll I., McNamara D., Sosnovsky S., Luckin R., Dimitrova V. (eds) Artificial Intelligence in Education. AIED 2021. Lecture Notes in Computer Science, vol 12749. Springer, Cham. https://doi.org/10.1007/978-3-030-78270-2_44