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Empirically Valid Rules for Ill-Defined Domains.

, and . EDM, page 237-240. International Educational Data Mining Society (IEDMS), (2014)

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Computational Argument as a Diagnostic Tool: The role of reliability., , , and . AAAI Fall Symposium: The Uses of Computational Argumentation, volume FS-09-06 of AAAI Technical Report, AAAI, (2009)Evolving Augmented Graph Grammars for Argument Analysis., , and . GECCO (Companion), page 65-66. ACM, (2016)Identifying student communities in blended courses., , , and . EDM, International Educational Data Mining Society (IEDMS), (2017)Task and Timing: Separating Procedural and Tactical Knowledge in Student Models., , , and . EDM, International Educational Data Mining Society (IEDMS), (2017)From Doodles to Designs: Participatory Pedagogical Agent Design with Elementary Students., , , , , , and . IDC, page 642-647. ACM, (2019)Toward Legal Argument Instruction with Graph Grammars and Collaborative Filtering Techniques., , , and . Intelligent Tutoring Systems, volume 4053 of Lecture Notes in Computer Science, page 227-236. Springer, (2006)Concepts, Structures, and Goals: Redefining Ill-Definedness., , , and . Int. J. Artif. Intell. Educ., 19 (3): 253-266 (2009)Two-Computer Pair Programming: Exploring a Feedback Intervention to improve Collaborative Talk in Elementary Students., , , , , , and . Comput. Sci. Educ., 32 (1): 3-29 (2022)Using the Hint Factory to Compare Model-Based Tutoring Systems., , , and . EDM (Workshops), volume 1446 of CEUR Workshop Proceedings, CEUR-WS.org, (2015)Admitting you have a problem is the first step: Modeling when and why students seek help in programming assignments., , , , , and . EDM, International Educational Data Mining Society, (2022)