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Example-Tracing Tutors: Intelligent Tutor Development for Non-programmers.

, , , , , , , and . Int. J. Artif. Intell. Educ., 26 (1): 224-269 (2016)

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Comprehensive Views of Math Learners: A Case for Modeling and Supporting Non-math Factors in Adaptive Math Software., , , and . AIED (1), volume 12163 of Lecture Notes in Computer Science, page 460-471. Springer, (2020)Example-Tracing Tutors: Intelligent Tutor Development for Non-programmers., , , , , , , and . Int. J. Artif. Intell. Educ., 26 (1): 224-269 (2016)Characterizing ELL Students' Behavior During MOOC Videos Using Content Type., , , , and . L@S, page 185-188. ACM, (2017)Learning Curve Analysis for Programming: Which Concepts do Students Struggle With?, , and . ICER, page 143-151. ACM, (2016)Do Performance Goals Lead Students to Game the System?, , , and . AIED, volume 125 of Frontiers in Artificial Intelligence and Applications, page 57-64. IOS Press, (2005)Can Help Seeking Be Tutored? Searching for the Secret Sauce of Metacognitive Tutoring., , , and . AIED, volume 158 of Frontiers in Artificial Intelligence and Applications, page 203-210. IOS Press, (2007)A New Paradigm for Intelligent Tutoring Systems: Example-Tracing Tutors, , , and . Int. J. of Artificial Intelligence in Education, 19 (2): 105--154 (2009)Cognitive Tutors: Lessons Learned, , , and . J. of the Learning Sciences, 4 (2): 167--207 (April 1995)Towards a Computational Model of Why Some Students Learn Faster than Others., , , and . AAAI Fall Symposium: Cognitive and Metacognitive Educational Systems, volume FS-10-01 of AAAI Technical Report, AAAI, (2010)Toward a reflective SimStudent: Using experience to avoid generalization errors., , and . AIED Workshops, volume 1009 of CEUR Workshop Proceedings, CEUR-WS.org, (2013)