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A Novel Approach for Knowledge State Representation and Prediction., , , , and . L@S, page 353-356. ACM, (2020)Data Mining for Discovering Cognitive Models of Learning., , and . ICAAI, page 130-139. ACM, (2021)MOOCs and Technology to Advance Learning and Learning Research Opening Statement: MOOCs and technology to advance learning and learning research (Ubiquity symposium).. Ubiquity, 2014 (April): 1:1-1:7 (2014)The heart of educational data infrastructures = Conscious humanity and scientific responsibility, not infinite data and limitless experimentation., and . Br. J. Educ. Technol., 50 (6): 2959-2973 (2019)Introducing Alexa for E-learning., , , , , and . L@S, page 427-428. ACM, (2020)A Novel Framework for Discovering Cognitive Models of Learning., , , and . L@S, page 271-274. ACM, (2021)Variational Temporal IRT: Fast, Accurate, and Explainable Inference of Dynamic Learner Proficiency., , , and . EDM, International Educational Data Mining Society, (2023)Interpretable Personalized Knowledge Tracing and Next Learning Activity Recommendation., , , , and . L@S, page 325-328. ACM, (2020)Evaluating Bayesian Knowledge Tracing for Estimating Learner Proficiency and Guiding Learner Behavior., , , , and . L@S, page 357-360. ACM, (2020)Estimating the minimum number of opportunities needed for all students to achieve predicted mastery., , and . Smart Learn. Environ., 5 (1): 15 (2018)