Attitudes of College of Education Students Towards the Use of Artificial Intelligence-Powered Instant Feedback Systems to Develop Academic Writing Skills
Abstract
This research aims to investigate the attitudes of college of education students toward the use of artificial intelligence-powered instant feedback systems to develop academic writing skills. The research used a descriptive-analytical approach, and a questionnaire was administered to a sample of 300 male and female students from colleges of education at three Saudi universities. The results showed positive attitudes among students toward the use of these systems, as they contributed to improving the accuracy of academic writing, enhancing self-confidence, and saving time and effort. The results also revealed statistically significant differences in attitudes attributed to gender, with females in favor of the study group. No differences were found attributed to academic level. The research recommended integrating these systems into academic writing programs and training faculty members on their use.
References
2. الأفندي, مختار ماهر مختار، ورسلان، مصطفى رسلان، و شريف، اسماء ابراهيم، (2022): التعلم القائم على المهام وتنمية مهارات الكتابة الأكاديمية والكتابة الإقناعية. مجلة القراءة والمعرفة, 22(254), 385-420.
3. الزبيدي، خ. (2022). فاعلية استخدام أنظمة التغذية الراجعة الآلية في تحسين الكتابة الأكاديمية باللغة العربية. مجلة القراءة والمعرفة، 22(245)، 145-174.
4. سيد, رضوى أمير صلاح, وشعيب, ايمان محمد مكرم, ويوسف، أحمد محمد فهمي، (2025): تطبيقات الذكاء الاصطناعي في التغذية الراجعة وأنظمة التوصية. المجلة العلمية للتربية النوعية والعلوم التطبيقية, 8(23), 155-190.
5. عبد الحميد، م. (2021). أثر استخدام برنامج قائم على الذكاء الاصطناعي في تنمية مهارات الكتابة الأكاديمية لدى طلبة الدراسات العليا. مجلة جامعة الملك عبدالعزيز: التربية، 31(2)، 45-67.
6. Cotos, E. (2014): Automated writing evaluation: Defining the classroom research agenda. Language Teaching Research, 18(1), 106-120.
7. Knight, S., Shibani, A., Abel, S., Gibson, A., Ryan, P., Sutton, N., ... & Gasevic, D. (2020). AcAWriter: A tool for supporting thesis writing through automated feedback. In Proceedings of the 28th International Conference on Computers in Education (pp. 1-10(
8. Koltovskaia, S. (2020). Student engagement with automated written corrective feedback (AWCF) provided by Grammarly: A multiple case study. Assessing Writing, 44, 100450.
9. Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education: Where are the educators? International Journal of Educational Technology in Higher Education, 16(1), 1-27.
10. Zhang, Z., & Hyland, K. (2022). Fostering student engagement with feedback: An integrated approach. Assessing Writing, 51, 100586.
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