University of Sussex
Browse
Cheng 83859.pdf (914.75 kB)

Measuring programming competence by assessing chunk structures in a code transcription task

Download (914.75 kB)
conference contribution
posted on 2023-06-09, 17:52 authored by Noorah Albehaijan, Peter ChengPeter Cheng
In 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 Society

ISSN

1069-7977

Publisher

Cognitive Science Society

Volume

1

Page range

76-82

Event name

CogSci 2019: The 41st Annual Meeting of the Cognitive Science Society

Event location

Montreal, Canada

Event type

conference

Event date

24 - 27 July, 2019

ISBN

9781510891555

Department 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 Goel

Legacy Posted Date

2019-06-05

First Open Access (FOA) Date

2019-07-01

First Compliant Deposit (FCD) Date

2019-06-04

Usage metrics

    University of Sussex (Publications)

    Categories

    No categories selected

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC