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Extending Deep Knowledge Tracing: Inferring Interpretable Knowledge and Predicting Post-System Performance.

, , and . CoRR, (2019)

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More confusion and frustration, better learning: The impact of erroneous examples., , , , , , , and . Comput. Educ., (2019)The development of students' computational thinking practices in elementary- and middle-school classes using the learning game, Zoombinis., , , , , , , and . Comput. Hum. Behav., (2021)Using Neural Network-Based Knowledge Tracing for a Learning System with Unreliable Skill Tags., , , , , , and . EDM, International Educational Data Mining Society, (2022)The Cold Start Problem and Interpretation of Knowledge Tracing Models' Predictive Performance., , , and . EDM, International Educational Data Mining Society, (2021)Confrustion in Learning from Erroneous Examples: Does Type of Prompted Self-explanation Make a Difference?, , , , , , and . AIED (1), volume 11625 of Lecture Notes in Computer Science, page 445-457. Springer, (2019)Gaming and Confrustion Explain Learning Advantages for a Math Digital Learning Game., , , , , , , and . AIED (1), volume 12748 of Lecture Notes in Computer Science, page 342-355. Springer, (2021)Extending Deep Knowledge Tracing: Inferring Interpretable Knowledge and Predicting Post-System Performance., , and . CoRR, (2019)A New Interpretation of Knowledge Tracing Models' Predictive Performance in Terms of the Cold Start Problem., , , and . EDM (Workshops), volume 3051 of CEUR Workshop Proceedings, CEUR-WS.org, (2021)Labeling Implicit Computational Thinking in Pizza Pass Gameplay., , , , , and . CHI Extended Abstracts, ACM, (2018)Using Knowledge Tracing to Predict Students' Performance in Cognitive Training and Math., , and . AIED (2), volume 13356 of Lecture Notes in Computer Science, page 410-413. Springer, (2022)