دورية أكاديمية
What Drives Undergraduates' Effort and Persistence in Learning Programming
| العنوان: | What Drives Undergraduates' Effort and Persistence in Learning Programming |
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| اللغة: | English |
| المؤلفون: | Lin, Guan-Yu, Liao, Yi-Wen, Su, Zhi-Yuan, Wang, Yu-Min, Wang, Yi-Shun (ORCID |
| المصدر: | Education and Information Technologies. Oct 2023 28(10):12383-12406. |
| الإتاحة: | 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: | 24 |
| تاريخ النشر: | 2023 |
| نوع الوثيقة: | Journal Articles Reports - Research |
| Education Level: | Higher Education Postsecondary Education |
| Descriptors: | Undergraduate Students, Academic Persistence, Programming, Self Efficacy, Predictor Variables, Psychological Patterns, Majors (Students), Information Technology |
| DOI: | 10.1007/s10639-023-11670-3 |
| تدمد: | 1360-2357 1573-7608 |
| مستخلص: | This study attempts to: (a) investigate whether positive and negative emotions mediate the pathways linking self-efficacy for learning programming with effort and persistence in undergraduates' learning Scratch programming combining with a programmable hardware platform (i.e., Arduino), and (b) assess the effect of academic major (i.e., information technology-related majors vs non-information technology-related majors) on self-efficacy for learning programming and emotions. With the use of responses collected from a sample of 156 undergraduate students, the research model is empirically validated using partial least squares structural equation modeling (PLS-SEM). The findings reveal that undergraduates' effort and persistence while learning programming were significantly predicted by positive emotions, but not by negative emotions. Self-efficacy for learning programming significantly and positively influenced positive emotions and negatively influenced negative emotions. Finally, variations in predicting positive emotions were found between different academic majors: students in information technology-related majors experienced less negative emotional experiences than those in non-information technology-related majors. |
| Abstractor: | As Provided |
| Entry Date: | 2023 |
| رقم الأكسشن: | EJ1394610 |
| قاعدة البيانات: | ERIC |
Find this article in full text from Springer Verlag. 
Full Text Finder | تدمد: | 1360-2357 1573-7608 |
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| DOI: | 10.1007/s10639-023-11670-3 |