Một Tự học có điều chỉnh và chấp nhận công nghệ ở sinh viên sư phạm trong môi trường học tập VR-AI
Tóm tắt
This study explores self-regulated learning (SRL) and technology acceptance among pre-service teachers in a VR-AI learning environment. Using a quasi-experimental one-group pretest-posttest design with 66 students, data were collected through structured questionnaires and open-ended responses. Descriptive results indicate overall increases in mean scores across SRL dimensions, AI-supported learning, personalization, and technology acceptance after the intervention. However, given the absence of a control group, these findings should be interpreted as indicative trends rather than causal effects. Qualitative findings suggest that virtual reality (VR) enhances experiential learning engagement, while artificial intelligence (AI) is perceived as supporting learning processes and inquiry. At the same time, challenges related to cognitive load, technological readiness, and usability were also reported. The findings highlight the role of pedagogical design in shaping how immersive and intelligent technologies are experienced and utilized in teacher education contexts.
Tài liệu tham khảo
Bộ GD-ĐT (2025a). Thông tư số 02/2025/TT-BGDĐT ngày 24/01/2025 quy định Khung năng lực số cho người học.
Bộ GD-ĐT (2025b). Công văn số 3456/BGDĐT-GDPT ngày 27/6/2025 về việc hướng dẫn thực hiện khung năng lực số cho học sinh phổ thông và học viên giáo dục thường xuyên.
Bond, M., Khosravi, H., De Vries, P., Elliott, D., & Gašević, D. (2024). A meta systematic review of artificial intelligence in higher education: A call for increased ethics, collaboration, and rigour. International Journal of Educational Technology in Higher Education, 21, 4. https://doi.org/10.1186/s41239-023-00436-z
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-340. https://doi.org/10.2307/249008
Hamilton, D., McKechnie, J., Edgerton, E., & Wilson, C. (2021). Immersive virtual reality as a pedagogical tool in education: A systematic literature review of quantitative learning outcomes and experimental design. Journal of Computers in Education, 8(1), 1-32.
Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial intelligence in education: Promises and implications for teaching and learning. Center for Curriculum Redesign.
Makransky, G., Terkildsen. T. S., Mayer R. E., (2019). Adding immersive virtual reality to a science lab simulation causes more presence but less learning. Learning and Instruction, 60, 225-236. https://doi.org/10.1016/j.learninstruc.2017.12.007
Panadero, E. (2017). A review of self-regulated learning: Six models and four directions for research. Frontiers in Psychology, 8, 422. https://doi.org/10.3389/fpsyg.2017.00422
Radianti, J., Majchrzak, T. A., Fromm, J., & Wohlgenannt, I. (2020). A systematic review of immersive virtual reality applications for higher education: Design elements, lessons learned, and research agenda. Computers & Education, 147, 103778. https://doi.org/10.1016/j.compedu.2019.103778
Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education. International Journal of Educational Technology in Higher Education, 16(1), 39.
Zimmerman, B. J. (2002). Becoming a self-regulated learner: An overview. Theory Into Practice, 41(2), 64-70. https://doi.org/10.1207/s15430421tip4102_2
Zimmerman, B. J. (2008). Investigating self-regulation and motivation: Historical background, methodological developments, and future prospects. American Educational Research Journal, 45(1), 166-183. https://doi.org/10.3102/0002831207312909
Đã Xuất bản
Cách trích dẫn
Số
Chuyên mục
Giấy phép
Bản quyền (c) 2026 Tạp chí Giáo dục
Tác phẩm này được cấp phép theo Ghi nhận tác giả của Creative Commons Giấy phép quốc tế 4.0 .









