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Active Learning for Student Affect Detection.

, , , , and . EDM, International Educational Data Mining Society (IEDMS), (2019)

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Applying Machine Learning Techniques to Rule Generation in Intelligent Tutoring Systems., , and . Intelligent Tutoring Systems, volume 3220 of Lecture Notes in Computer Science, page 541-553. Springer, (2004)Refusing to Try: Characterizing Early Stopout on Student Assignments., , , and . LAK, page 391-400. ACM, (2019)Learning Bayesian Knowledge Tracing Parameters with a Knowledge Heuristic and Empirical Probabilities., , and . Intelligent Tutoring Systems, volume 8474 of Lecture Notes in Computer Science, page 150-155. Springer, (2014)Extending the Assistance Model: Analyzing the Use of Assistance over Time., , , and . EDM, page 59-66. International Educational Data Mining Society, (2013)Optimizing the Amount of Practice in an On-Line Platform., and . L@S, page 145-148. ACM, (2016)Studying Learning at Scale with the ASSISTments TestBed., and . L@S, page 333-334. ACM, (2016)Extending Knowledge Tracing to Allow Partial Credit: Using Continuous versus Binary Nodes., and . AIED, volume 7926 of Lecture Notes in Computer Science, page 181-188. Springer, (2013)Feedback during Web-Based Homework: The Role of Hints., , , , , , , , and . AIED, volume 6738 of Lecture Notes in Computer Science, page 328-336. Springer, (2011)The Fine-Grained Impact of Gaming (?) on Learning., , , and . Intelligent Tutoring Systems (1), volume 6094 of Lecture Notes in Computer Science, page 194-203. Springer, (2010)Trying to Reduce Bottom-Out Hinting: Will Telling Student How Many Hints They Have Left Help?., , and . Intelligent Tutoring Systems, volume 5091 of Lecture Notes in Computer Science, page 774-778. Springer, (2008)