STUDENTS AS CO-CREATORS OF LEARNING: THE ROLE OF ATTITUDE IN THE EFFECTIVENESS OF AI- ENHANCED EDUCATION
Keywords:
AI-Enhanced Education, Co-Creation, Collaborative Learning, Critical AI Literacy, Educational Technology, Ethical Awareness in AI, Personalized Learning, Qualitative Education Research, Student Agency, Student AttitudesAbstract
As artificial intelligence (AI) increasingly permeates educational settings, its success depends not just on technological advancement but also on student attitudes toward using it. This qualitative study investigates the significance of student attitudes in determining the success of AI-facilitated education with a focus on their engagement as co-creators of the learning process. Basing its analysis on interviews, focus groups, and observational research, the article determines central attitudinal dimensions—e.g., ownership, curiosity, cooperation, and ethical sensitivity—that shape students' uptake of AI tools. The results underscore the necessity of cultivating student agency, critical thinking, and reflective practice to make sure that AI acts as a catalyst for important, student-driven learning. The research concludes that in order for AI-powered education to be genuinely transformational, learners are not only users but should be treated as active collaborators in the development and direction of their own learning journeys.
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References
Bovill, C. (2020). Co-creation in learning and teaching: The case for a whole-class approach in higher education. Higher Education, 79(6), 1023–1037. https://doi.org/10.1007/s10734-019-00453-w
Cook-Sather, A., Bovill, C., & Felten, P. (2014). Engaging students as partners in learning and teaching: A guide for faculty. Jossey-Bass.
Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial intelligence in education: Promises and implications for teaching and learning. Center for Curriculum Redesign.
Holstein, K., McLaren, B. M., & Aleven, V. (2019). Student learning benefits of a mixed-reality teacher awareness tool in AI-enhanced classrooms. Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 1-13. https://doi.org/10.1145/3290605.3300528
Kizilcec, R. F., Bailenson, J. N., & Gomez, C. J. (2020). The impact of AI on motivation in education: Understanding resistance and acceptance. Computers in Human Behavior, 104, 106178. https://doi.org/10.1016/j.chb.2019.106178
Luckin, R., Holmes, W., Griffiths, M., & Forcier, L. B. (2016). Intelligence unleashed: An argument for AI in education. Pearson.
Luckin, R., Holmes, W., Griffiths, M., & Forcier, L. B. (2016). Intelligence unleashed: An argument for AI in education. Pearson.
Selwyn, N. (2019). Should robots replace teachers? AI and the future of education. Polity Press.
Teo, T. (2011). Factors influencing teachers’ intention to use technology: Model development and test. Computers & Education, 57(4), 2432–2440. https://doi.org/10.1016/j.compedu.2011.06.008
Teo, T. (2011). Factors influencing teachers’ intention to use technology: Model development and test. Computers & Education, 57(4), 2432–2440. https://doi.org/10.1016/j.compedu.2011.06.008
VanLehn, K. (2011). The relative effectiveness of human tutoring, intelligent tutoring systems, and other tutoring systems. Educational Psychologist, 46(4), 197-221. https://doi.org/10.1080/00461520.2011.611369
Wang, Q., Chen, W., & Anderson, T. (2020). Student attitudes and academic performance in AI-supported learning environments. Journal of Educational Computing Research, 58(6), 1144-1163. https://doi.org/10.1177/0735633119865008
Williamson, B., & Piattoeva, N. (2019). Objectivity as standardization in data-scientific educational governance: Grasping the global through the local. Research in Education, 101(1), 69-91. https://doi.org/10.1177/0034523719886187
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), 39. https://doi.org/10.1186/s41239-019-0171-0
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), 39. https://doi.org/10.1186/s41239-019-0171-0
Zhu, C., Valcke, M., & Schellens, T. (2022). Collaborative learning with AI-based educational technologies: A systematic review. Computers & Education, 185, 104523. https://doi.org/10.1016/j.compedu.2022.104523
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Copyright (c) 2026 Zainab Zahid, Dr. Saira (Author)

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