Integrating Automated Feedback into a Creative Coding Course
Abstract
This poster describes our approach to providing automated feedback for formative exercises in an introductory programming module that uses a creative coding approach. A challenge for automating feedback in creative coding is that automation often necessitates highly constrained programming tasks, which is at odds with the typically open-ended ethos of creative computing. Our approach seeks to strike a balance between providing automatic feedback on fundamental concepts and allowing students to exercise their creativity. Students reported that the automated feedback was useful and motivating, while teaching staff observed that it often provided a starting point for one-on-one help requests from students.
References
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Hieke Keuning, Johan Jeuring, and Bastiaan Heeren. 2019. A Systematic Literature Review of Automated Feedback Generation for Programming Exercises. ACM Transactions on Computing Education 19, 1 (2019), 1--43. https://doi.org/10.1145/3231711
[2]
J. Maeda, R. Burns, Thames, Hudson, and Massachusetts Institute of Technology. Media Laboratory. 2004. Creative code. Thames & Hudson.
[3]
José Carlos Paiva, José Paulo Leal, and Álvaro Figueira. 2022. Automated Assessment in Computer Science Education: A State-of-the-Art Review. ACM Transactions on Computing Education 22, 3 (2022), 1--40. https://doi.org/10.1145/3513140
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Raymond Pettit, John Homer, Roger Gee, Susan Mengel, and Adam Starbuck. 2015. An Empirical Study of Iterative Improvement in Programming Assignments. In Proceedings of the 46th ACM Technical Symposium on Computer Science Education. ACM, Kansas City Missouri USA, 410--415. https://doi.org/10.1145/2676723.2677279
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Manuel Rubio-Sánchez, Päivi Kinnunen, Cristóbal Pareja-Flores, and Ángel Velázquez-Iturbide. 2014. Student perception and usage of an automated programming assessment tool. Computers in Human Behavior 31 (2014), 453--460. https://doi.org/10.1016/j.chb.2013.04.001
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Mark Sherman, Sarita Bassil, Derrell Lipman, Nat Tuck, and Fred Martin. 2013. Impact of auto-grading on an introductory computing course. Journal of Computing Sciences in Colleges 28, 6 (2013), 69--75.
Index Terms
- Integrating Automated Feedback into a Creative Coding Course
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Published In
July 2024
125 pages
ISBN:9798400706035
DOI:10.1145/3649405
- General Chairs:
- Mattia Monga,
- Violetta Lonati,
- Erik Barendsen,
- Program Chairs:
- Judithe Sheard,
- James Paterson
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Published: 08 July 2024
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