The investigation of human attention networks on debugging performance
Author:
Publisher
Springer Science and Business Media LLC
Subject
Library and Information Sciences,Education
Link
https://link.springer.com/content/pdf/10.1007/s10639-023-11955-7.pdf
Reference60 articles.
1. Ahmadzadeh, M., Elliman, D., & Higgins, C. (2005). An analysis of patterns of debugging among novice computer science students. ACM SIGCSE Bulletin, 37(3), 84–88. https://doi.org/10.1145/1151954.1067472.
2. Akçay, A., & Altun, A. (2021). Hata ayıklama performansı testi geliştirme: Geçerlik ve güvenirlik çalışması [Test development for debugging performance: Validity and reliability study]. Erzincan University Journal of Education Faculty, 23(3), 667–685. https://doi.org/10.17556/erziefd.815922.
3. Altadmri, A., & Brown, N. C. C. (2015). 37 million compilations: Investigating novice programming mistakes in large-scale student data. In A. Decker, K. Eiselt, J. Tims, & C. Alphonce (Eds.), Proceedings of the 46th ACM Technical Symposium on Computer Science Education (pp. 522–527). The Association for Computing Machinery. https://doi.org/10.1145/2676723.2677258.
4. Beckwith, L., Kissinger, C., Burnett, M., Wiedenbeck, S., Lawrance, J., Blackwell, A., & Cook, C. (2006). Tinkering and gender in end-user programmers’ debugging. In R. Grinter, T. Rodden, P. Aoki, E. Cutrell, R. Jeffies, & G. Olson (Eds.), Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (pp. 231–240). https://doi.org/10.1145/1124772.1124808.
5. Bednarik, R. (2012). Expertise-dependent visual attention strategies develop over time during debugging with multiple code representations. International Journal of Human-Computer Studies, 70(2), 143–155. https://doi.org/10.1016/j.ijhcs.2011.09.003.
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