The investigation of human attention networks on debugging performance
Yazarlar (2)
Doç. Dr. Arif AKÇAY Kastamonu Üniversitesi, Türkiye
Prof. Dr. Arif Altun Hacettepe Üniversitesi, Türkiye
| Makale Türü |
Özgün Makale
(SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale)
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| Dergi Adı | Education and Information Technologies (Q1) | ||
| Dergi ISSN | 1360-2357 Dergi Bilgileri (2024) | ||
| Dergi Tarandığı Indeksler | SSCI | ||
| Makale Dili | İngilizce | Basım Tarihi | 02-2024 |
| Kabul Tarihi | 04-06-2023 | Yayınlanma Tarihi | 13-06-2023 |
| Cilt / Sayı / Sayfa | 29 / 3 / 2679–2695 | DOI | 10.1007/s10639-023-11955-7 |
| Makale Linki | http://dx.doi.org/10.1007/s10639-023-11955-7 | ||
| UAK Araştırma Alanları |
Bilişim Teknolojileri Eğitimi
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| Özet |
| 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 … |
| Anahtar Kelimeler |
| Attention network | Bug | Debugging | Programming |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Web of Science | 1 |
| Scopus | 1 |