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Creators/Authors contains: "Zhang, Yuanlin"

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  1. ; ; ; ; ( , SIGCSE 2022: The 53rd ACM Technical Symposium on Computer Science Education)
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  2. ; ; ; ; ; ( , Thirteenth AAAI Symposium on Educational Advances in Artificial Intelligence)
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  3. ; ; ( , Proceedings of the 2022 ACM Conference on International Computing Education Research)
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  4. ; ; ; ; ; ( , Electronic Proceedings in Theoretical Computer Science)
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  5. ; ; ; ; ( , An Integrated Approach to Data Science Foundations in Computing, Mathematics and Statistics)
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  6. ; ; ; ; ; ( , Proceedings of the 14th International Conference on Computer Supported Education - Volume 1, CSEDU 2022)
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  7. ; ; ( , Proceedings of the 26th ACM Conference on Innovation and Technology in Computer Science Education)
    Novice programming learners encounter programming errors on a regular basis. Resolving programming errors, which is also known as debugging, is not easy yet important to programming learning. Students with poor debugging ability hardly perform well on programming courses. A debugging learning trajectory which identifies learning goals, learning pathways, and instructional activities will benefit debugging learning activities development. This study aims to develop a debugging learning trajectory for text-based programming learners. This is accomplished through (1) analyzing programming errors in a logic programming learning environment and (2) examining existing literature on debugging analysis. 
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