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Integrating Intelligent Feedback into Block Programming Environments.. ICER, page 275-276. ACM, (2015)Comparing Feature Engineering Approaches to Predict Complex Programming Behaviors., , , , , , and . CSEDM@EDM, volume 2734 of CEUR Workshop Proceedings, CEUR-WS.org, (2020)Knowing both when and where: Temporal-ASTNN for Early Prediction of Student Success in Novice Programming Tasks., , , , , and . EDM, International Educational Data Mining Society, (2021)More With Less: Exploring How to Use Deep Learning Effectively through Semi-supervised Learning for Automatic Bug Detection in Student Code., , , , and . EDM, International Educational Data Mining Society, (2021)6th Educational Data Mining in Computer Science Education (CSEDM) Workshop., , , , and . EDM, International Educational Data Mining Society, (2022)KC-Finder: Automated Knowledge Component Discovery for Programming Problems., , , , and . EDM, International Educational Data Mining Society, (2023)Generating Data-driven Hints for Open-ended Programming., , and . EDM, page 191-198. International Educational Data Mining Society (IEDMS), (2016)An Evaluation of Data-Driven Programming Hints in a Classroom Setting., , , and . AIED (2), volume 12164 of Lecture Notes in Computer Science, page 246-251. Springer, (2020)Promoting Students' Progress-Monitoring Behavior during Block-Based Programming, , , , , , and . 21st Koli Calling International Conference on Computing Education Research, ACM, (November 2021)An Evaluation of the Impact of Automated Programming Hints on Performance and Learning., , and . ICER, page 61-70. ACM, (2019)