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Predicting Individual Differences for Learner Modeling in Intelligent Tutors from Previous Learner Activities.

, , , , , , , and . UMAP, page 55-63. ACM, (2016)

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The Dynamics between Student Affect and Behavior Occurring Outside of Educational Software., , , , , , , and . ACII (1), volume 6974 of Lecture Notes in Computer Science, page 14-24. Springer, (2011)Labeling Student Behavior Faster and More Precisely with Text Replays., and . EDM, page 38-47. www.educationaldatamining.org, (2008)Using Text Replay Tagging to Produce Detectors of Systematic Experimentation Behavior Patterns., , , , and . EDM, page 181-190. www.educationaldatamining.org, (2010)Improving Contextual Models of Guessing and Slipping with a Trucated Training Set., , and . EDM, page 67-76. www.educationaldatamining.org, (2008)Modeling how incoming knowledge, persistence, affective states, and in-game progress influence student learning from an educational game., , , , , , , and . Comput. Educ., (2015)Content Learning Analysis Using the Moment-by-Moment Learning Detector., , and . ITS, volume 7315 of Lecture Notes in Computer Science, page 434-443. Springer, (2012)Coarse-grained detection of student frustration in an introductory programming course., and . ICER, page 75-80. ACM, (2009)Which Is More Responsible for Boredom in Intelligent Tutoring Systems: Students (Trait) or Problems (State)?, , and . ACII, page 618-623. IEEE Computer Society, (2013)Detecting Carelessness through Contextual Estimation of Slip Probabilities among Students Using an Intelligent Tutor for Mathematics., , and . AIED, volume 6738 of Lecture Notes in Computer Science, page 304-311. Springer, (2011)Comparing Disengaged Behavior within a Cognitive Tutor in the USA and Philippines., , , , , and . Intelligent Tutoring Systems (2), volume 6095 of Lecture Notes in Computer Science, page 263-265. Springer, (2010)