The Investigation of Human Attention Networks on Debugging Performance
Gespeichert in:
| Titel: | The Investigation of Human Attention Networks on Debugging Performance |
|---|---|
| Sprache: | English |
| Autoren: | Arif Akçay, Arif Altun |
| Quelle: | Education and Information Technologies. 2024 29(3):2679-2695. |
| Verfügbarkeit: | Springer. Available from: Springer Nature. One New York Plaza, Suite 4600, New York, NY 10004. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-460-1700; e-mail: customerservice@springernature.com; Web site: https://link.springer.com/ |
| Peer Reviewed: | Y |
| Page Count: | 17 |
| Publikationsdatum: | 2024 |
| Publikationsart: | Journal Articles Reports - Research |
| Education Level: | High Schools Secondary Education |
| Descriptors: | Attention, Networks, Troubleshooting, Programming, Information Technology, Vocational High Schools, High School Students, Tests, Performance, Effect Size, Executive Function |
| DOI: | 10.1007/s10639-023-11955-7 |
| ISSN: | 1360-2357 1573-7608 |
| Abstract: | Debugging is an intellectually rich and a challenging process when learning a programming language. This process is important for increasing the quality of the program and making it functional. Debugging, by its nature, is thought to be a practice with a state of focus and concentration. This study explored whether the debugging performance could be predicted by attention networks of students studying at the IT department of vocational high schools. 108 vocational high school IT department students participated in the research. First, students' attention levels were determined by utilizing the Attention Network Test. Second, a Debugging Performance Test was administered to determine their debugging performance. The analysis result indicated that the general attention network statistically predicted the debugging performance but the effect size was found to be small. Furthermore, the singular and dual interactions of the alerting attention network, the orienting attention network, and the executive attention network did not predict debugging performances. Yet, the interactions of the three attention networks on predicting the debugging performances were found to be statistically significant. These findings were discussed together with the existing studies in the literature and suggestions to obtain more in-depth information regarding these results were provoked. |
| Abstractor: | As Provided |
| Entry Date: | 2024 |
| Dokumentencode: | EJ1414173 |
| Datenbank: | ERIC |
Full Text Finder 
Nájsť tento článok vo Web of Science | Abstract: | Debugging is an intellectually rich and a challenging process when learning a programming language. This process is important for increasing the quality of the program and making it functional. Debugging, by its nature, is thought to be a practice with a state of focus and concentration. This study explored whether the debugging performance could be predicted by attention networks of students studying at the IT department of vocational high schools. 108 vocational high school IT department students participated in the research. First, students' attention levels were determined by utilizing the Attention Network Test. Second, a Debugging Performance Test was administered to determine their debugging performance. The analysis result indicated that the general attention network statistically predicted the debugging performance but the effect size was found to be small. Furthermore, the singular and dual interactions of the alerting attention network, the orienting attention network, and the executive attention network did not predict debugging performances. Yet, the interactions of the three attention networks on predicting the debugging performances were found to be statistically significant. These findings were discussed together with the existing studies in the literature and suggestions to obtain more in-depth information regarding these results were provoked. |
|---|---|
| ISSN: | 1360-2357 1573-7608 |
| DOI: | 10.1007/s10639-023-11955-7 |