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Farzin, Farmand, Norouzi, Mohammad, Noura, Asma. (1404). The Effectiveness of an Educational Intervention Using AI-Based Automated Question Generation Tools on Students' Academic Engagement and Autonomous Motivation.. نشریه علمی دانشگاه سیستان و بلوچستان, 1(4), 11-19. doi: 10.22111/ijaer.2025.54278.1033
Farmand Farzin; Mohammad Norouzi; Asma Noura. "The Effectiveness of an Educational Intervention Using AI-Based Automated Question Generation Tools on Students' Academic Engagement and Autonomous Motivation.". نشریه علمی دانشگاه سیستان و بلوچستان, 1, 4, 1404, 11-19. doi: 10.22111/ijaer.2025.54278.1033
Farzin, Farmand, Norouzi, Mohammad, Noura, Asma. (1404). 'The Effectiveness of an Educational Intervention Using AI-Based Automated Question Generation Tools on Students' Academic Engagement and Autonomous Motivation.', نشریه علمی دانشگاه سیستان و بلوچستان, 1(4), pp. 11-19. doi: 10.22111/ijaer.2025.54278.1033
Farzin, Farmand, Norouzi, Mohammad, Noura, Asma. The Effectiveness of an Educational Intervention Using AI-Based Automated Question Generation Tools on Students' Academic Engagement and Autonomous Motivation.. نشریه علمی دانشگاه سیستان و بلوچستان, 1404; 1(4): 11-19. doi: 10.22111/ijaer.2025.54278.1033

The Effectiveness of an Educational Intervention Using AI-Based Automated Question Generation Tools on Students' Academic Engagement and Autonomous Motivation.

Iranian Journal of Applied Educational Research
دوره 1، شماره 4، اسفند 2025، صفحه 11-19    اصل مقاله (1.07 M)
نوع مقاله: Original Article
شناسه دیجیتال (DOI): 10.22111/ijaer.2025.54278.1033
نویسندگان
Farmand Farzin1؛ Mohammad Norouzi* 2؛ Asma Noura3
1Ph.D in Educational Technology, Department of Educational Technology, Allameh Tabataba’i University, Tehran, Iran.
2Ph.D candidate in Psychometrics (Assessment & measurement), Allameh Tabataba'i University, Tehran. Iran.
3Master of General Psychology, Department of Psychology, Zahedan Branch, Islamic Azad University, Zahedan, Iran
چکیده
This study aimed to determine the effectiveness of an AI-based Automated Question Generation (AQG) tool (using the Gemini 2.5 Pro model) in teaching research methodology concepts on the academic engagement and autonomous motivation of male students at Zahedan University of Medical Sciences.

The research design was quasi-experimental, utilizing a pre-test/post-test format with a control group. The final statistical sample consisted of 47 students (22 in the experimental group and 25 in the control group) selected through multi-stage cluster random sampling. The experimental group participated in an educational intervention using the AI tool for eight 90-minute sessions. Data collection instruments included the Vallerand Academic Motivation Scale (1992) and the Reeve Academic Engagement Scale (2013).

Data analysis was performed using multivariate analysis of covariance (MANCOVA). The results indicated that after controlling for the pre-test effect, a significant difference existed between the two groups regarding the dependent variables (p<0.001). The use of the AI tool led to a significant increase in academic engagement and autonomous motivation within the experimental group. Based on the partial eta-squared index, the intervention accounted for 19% of the variance in academic engagement and 24% of the variance in autonomous motivation, demonstrating the strong impact of this technology.
کلیدواژه‌ها
Generative AI؛ Autonomous Motivation؛ Academic Engagement
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تعداد مشاهده مقاله: 79
تعداد دریافت فایل اصل مقاله: 57


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