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Leveraging Granularity: Hierarchical Reinforcement Learning for Pedagogical Policy Induction.

, , , , and . Int. J. Artif. Intell. Educ., 32 (2): 454-500 (2022)

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CS principles pilot at University of North Carolina at Charlotte.. Inroads, 3 (2): 64-66 (2012)Application of the Delphi Method in Computer Science Principles Rubric Creation., and . ITiCSE, page 164-169. ACM, (2017)Lessons from a course on serious games research and prototyping., and . FDG, page 32-39. ACM, (2010)The effects of integrating service learning into computer science: an inter-institutional longitudinal study., , , , and . Computer Science Education, 25 (3): 311-324 (2015)The need for research in broadening participation., and . Commun. ACM, 59 (3): 33-34 (2016)Building Games to Learn from Their Players: Generating Hints in a Serious Game., , and . Intelligent Tutoring Systems, volume 8474 of Lecture Notes in Computer Science, page 312-317. Springer, (2014)Formative Feedback in Interactive Learning Environments., , , , and . AIED, volume 7926 of Lecture Notes in Computer Science, page 946. Springer, (2013)Exploring the Impact of Worked Examples in a Novice Programming Environment., , , , , and . SIGCSE, page 98-104. ACM, (2019)Exploring Design Choices to Support Novices\textquotesingle Example Use During Creative Open-Ended Programming, , , , , , and . Proceedings of the 53rd ACM Technical Symposium on Computer Science Education, page 619-625. ACM, (February 2022)A Comparison of the Quality of Data-Driven Programming Hint Generation Algorithms., , , , , , and . Int. J. Artif. Intell. Educ., 29 (3): 368-395 (2019)