- Title
- Relationship between Code Similarity and Course Semester in Programming Assessments
- Creator
- Karnalim, Oscar; Simon,
- Relation
- 2021 International Conference on Advanced Learning Technologies (ICALT). Proceedings of 21st IEEE International Conference on Advanced Learning Technologies (ICALT) (Tartu, Estonia 12-15 July, 2021) p. 23-24
- Publisher Link
- http://dx.doi.org/10.1109/ICALT52272.2021.00014
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Resource Type
- conference paper
- Date
- 2021
- Description
- Some code similarity detectors are designed to address academic integrity in early programming courses by recognising subtle variations, in the assumption that the code similarity in these courses is typically higher than that in later courses. Although the assumption is often used, it has no empirical evidence, and might be misleading. This study empirically investigates the assumption by examining the relationship between code similarity and course semester in seven programming courses with a total of 931 distinct assessment tasks. Our study shows that the argument is not necessarily true since in later courses, some assessment tasks require the students to follow a particular structure, to use external libraries, or to implement specific algorithms taught during the course.
- Subject
- code similarity; programming; plagiarism; collusion; computing education
- Identifier
- http://hdl.handle.net/1959.13/1452066
- Identifier
- uon:44346
- Identifier
- ISBN:9781665441063
- Language
- eng
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