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Learning Curve Analysis for Programming: Which Concepts do Students Struggle With?

, , and . ICER, page 143-151. ACM, (2016)

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Educational Data Mining and Learning Analytics in Programming, , , , , , , , , and 6 other author(s). Proceedings of the 2015 ITiCSE on Working Group Reports, page 41-63. ACM, (July 2015)Towards improving programming habits to create better computer science course outcomes., , , and . ITiCSE, page 243-248. ACM, (2013)Designing a Data-Driven Tutor Authoring Tool for CS Educators.. ICER, page 277-278. ACM, (2015)Automating Hint Generation with Solution Space Path Construction., and . Intelligent Tutoring Systems, volume 8474 of Lecture Notes in Computer Science, page 329-339. Springer, (2014)Preface to the Special Issue on Creating and Improving Adaptive Learning: Smart Authoring Tools and Processes., , and . Int. J. Artif. Intell. Educ., 32 (1): 1-3 (2022)A Canonicalizing Model for Building Programming Tutors., and . ITS, volume 7315 of Lecture Notes in Computer Science, page 591-593. Springer, (2012)Automatic Generation of Programming Feedback; A Data-Driven Approach., and . AIED Workshops, volume 1009 of CEUR Workshop Proceedings, CEUR-WS.org, (2013)Learning Curve Analysis for Programming, , and . Proceedings of the 2016 ACM Conference on International Computing Education Research - ICER \textquotesingle16, ACM Press, (2016)Automated Data-Driven Hint Generation for Learning Programming.. Carnegie Mellon University, USA, (2017)Educational Data Mining and Learning Analytics in Programming: Literature Review and Case Studies, , , , , , , , , and 6 other author(s). Proceedings of the 2015 ITiCSE on Working Group Reports, page 41--63. New York, NY, USA, ACM, (2015)