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Measuring programming competence by assessing chunk structures in a code transcription task
conference contribution
posted on 2023-06-09, 17:52 authored by Noorah Albehaijan, Peter ChengPeter ChengIn a simple transcription task in which sections of Java program code are copied by freehand writing, it is demonstrated that chunk related temporal signals are sufficiently robust to permit the measurement of programming competence. An experiment with 24 participants revealed that the number of views of the stimulus per trial and the duration of writing per stimulus view are both strongly correlated with independent measures of Java competence.
History
Publication status
- Published
File Version
- Accepted version
Journal
Proceedings of the 41st Annual Meeting of the Cognitive Science SocietyISSN
1069-7977Publisher
Cognitive Science SocietyVolume
1Page range
76-82Event name
CogSci 2019: The 41st Annual Meeting of the Cognitive Science SocietyEvent location
Montreal, CanadaEvent type
conferenceEvent date
24 - 27 July, 2019ISBN
9781510891555Department affiliated with
- Informatics Publications
Research groups affiliated with
- Creative Technology Publications
Notes
Acknowledgements: Noorah Albehaijan's PhD study is supported by Imam Abdulrahman Bin Faisal University.Full text available
- Yes
Peer reviewed?
- Yes
Editors
Colleen Seifert, Christian Freksa, Ashok GoelLegacy Posted Date
2019-06-05First Open Access (FOA) Date
2019-07-01First Compliant Deposit (FCD) Date
2019-06-04Usage metrics
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