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It's Okay Because I Worked Really Hard!: Student Justifications for Questionable Collaboration while Solving Computer Labs
KTH, School of Electrical Engineering and Computer Science (EECS), Computer Science, Theoretical Computer Science, TCS.ORCID iD: 0000-0001-8032-9698
1Dept. of Computer Science, Linköping University, Linköping, Sweden.
2Dept. of Computer and Information Science, University of Konstanz, Konstanz, Germany.
1Dept. of Computer Science, Linköping University, Linköping, Sweden.
2022 (English)In: Proceedings: Frontiers in Education Conference, FIE, Institute of Electrical and Electronics Engineers (IEEE) , 2022, Vol. 2022-OctoberConference paper, Published paper (Refereed)
Abstract [en]

In this full research paper we examine questionable collaboration from a student perspective. Collaborating while solving computer lab assignments is often considered an important part when learning computer science, as it allows students to discuss their work, while also practicing working together. However, it also introduces risks, such as students collaborating in ways negatively impacting their learning outcomes and leading to inaccurate grading. Hence it is important to work towards reducing the use of these poor collaborative practices. In order to ameliorate the problem with academic misconduct, we need to understand students' justifications for deviating from acceptable practices. In this paper we therefore investigate how students justify their collaborative practices during computer lab assignments in situations they experience as questionable. The justifications were collected through 15 semi-structured interviews with students experienced in pair programming, majoring in computer science and other technical fields from two large well-known European universities.The justifications from the interviews were analysed using phenomenography resulting in seven categories: external pressure, lack of interest, spending time on the assignment, understanding the end product, contributing to the process, learning from the assignment and reflecting on the purpose of the learning. These describe in which situations students might deviate from the rules and can be used by institutions to prevent such behavior.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE) , 2022. Vol. 2022-October
Keywords [en]
cheating, collaboration, computer science education, justifications, phenomenography, plagiarism
National Category
Didactics
Identifiers
URN: urn:nbn:se:kth:diva-329548DOI: 10.1109/FIE56618.2022.9962546ISI: 001204427600172Scopus ID: 2-s2.0-85143782992OAI: oai:DiVA.org:kth-329548DiVA, id: diva2:1772261
Conference
2022 IEEE Frontiers in Education Conference, FIE 2022, Uppsala, Sweden, 8-11 October 2022
Note

QC 20230621

Available from: 2023-06-21 Created: 2023-06-21 Last updated: 2025-12-05Bibliographically approved

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Björn, Camilla

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