Conferences and Outreach

2018

Leite, W. L., Jing, Z. Cetin-Berber, D. D., Huggins-Manley, A. C., Collier, Z. K., & Beal, C. R. (2018, November). Quasi-experimental evaluation of usage patterns of virtual learning environments with multilevel mixture models and propensity score weighting. Paper presented at the Annual Meeting of the Florida Educational Research Association, St. Petersburg, FL.

Huggins-Manley, A. C., Beal, C. R., D’Mello, S., Leite, W. L., & Cetin-Berber. D. (2018, November). Going from virtual learning environment data to educational constructs: A call for improved construct validity. Paper presented at the Annual Meeting of the Florida Educational Research Association, St. Petersburg, FL.

Leite, W. L., Cetin-Berber, D., Collier, Z. K., Manley, A. C., & Beal, C. (2018, April). Impact of the Algebra Nation Tutoring Program on the Performance of Students Who Retake the End-of-Course Exam. Poster presented at the annual meeting of the American Education Research Association Conference, New York, NY.

2019

Kuang, H., Leite, W. L., & Jing, Z. (2019, November). Detecting Heterogeneous Treatment Effects in an Experimental Study of a Personalized Learning Algorithm. Paper presented at the Florida Educational Research Association (FERA) 64th Annual Meeting. St. Petersburg, FL.

Jing, Z., & Kuang, H., Leite, W. L., & Huggins-Manley, A.C. (2019, November). Applying Hybrid Ant Colony Optimization Algorithm in Mixture Item Response Theory Model. Paper presented at the Florida Educational Research Association (FERA) 64th Annual Meeting. St. Petersburg, FL.

Niaki, S. A., George, C. P., Michailidis, G., & Beal, C. R. (2019). Investigating the Usage Patterns of Algebra Nation Tutoring Platform. Proceedings of the 9th International Conference on Learning Analytics & Knowledge – LAK19. doi:10.1145/3303772.3303788

Hutt, S., Grafsgaard, J., & D’Mello, S. K. (2019). Time to Scale: Generalizable Affect Detection for Tens of Thousands of Students across An Entire Schoolyear Proceedings of the ACM CHI Conference on Human Factors in Computing Systems (CHI 2019). New York: ACM.

Leite, W. L., Jing, Z. Cetin-Berber, D. D., Huggins-Manley, A. C., Collier, Z. K., & Beal, C. R. (2019, March). Propensity Score Methods for the Evaluation of Multilevel Usage Patterns of Virtual Learning Environments. Poster Presented at the Annual Meeting of the Society for Research on Educational Effectiveness. Washington, DC.

2020

Kuang, H., Leite, W. L., Jing, Z., & Huggins-Manley, A. C. (2020, March). Detecting Heterogeneity in an Experimental Study of a Personalized Learning Algorithm with Structural Equation Model Forests. Paper presented at the Society for Research on Educational Effectiveness (SREE) Spring 2020 Conference. Crystal City, VA.

Leite, W. L., Jing, Z., Kuang, H., Kim, D., Huggins-Manley, A. C. (2020, July). Multilevel mixture modeling with propensity score weights for quasi-experimental evaluation of virtual learning environments. Paper presented at the Causal Inference Workshop of the 2020 Educational Data Mining (EDM20) Conference.

2021

Shin, J., Balyan, R., Banawan, M., Leite, W. L., McNamara, D. (2021, April). Theory-Driven Natural Language Processing: Revealing Distinct Patterns of Pedagogical Communication in Algebra Tutoring. Paper presented at the 2021 American Educational Research Association (AERA) Annual Meeting. Virtual.

Li, Z., Huggins-Manley, A. C., Miller, D. & Leite, W. L. (2021, April). Ability Parameter Recovery in Virtual Learning Environment Item Response Data With the Sequential Two-Parameter Logistic Item Response Theory (2PL-IRT) Model. Paper presented at the 2021 American Educational Research Association (AERA) Annual Meeting. Virtual.

Zhang, H., Quan, J., & Leite, W. L. (2021, April). Causal Mediation Analysis in Structural Equation Modeling With Ratio-of-Mediator-Probability Weighting. Paper presented at the 2021 American Educational Research Association (AERA) Annual Meeting. Virtual.