QUAN ĐIỂM VÀ NHU CẦU VỀ HỌC LIỆU SỐ TÍCH HỢP GENAI TRONG TỰ HỌC TOÁN CỦA HỌC SINH LỚP 10
DOI:
https://doi.org/10.51453/3093-3706/2025/1348Keywords:
Học liệu số, Trí tuệ nhân tạo tạo sinh, Tự học, Toán 10, CT GDPT 2018Abstract
The integration of Generative Artificial Intelligence (GenAI) into digital learning materials presents new opportunities to enhance the effectiveness of self-regulated mathematics learning at the upper-secondary level. In response to this practical need, the present study aims to examine the perceptions and needs of tenth-grade students regarding GenAI-integrated digital learning resources. A cross-sectional survey design was employed, utilizing an online self-administered questionnaire that yielded 296 valid responses from tenth-grade students in several high schools across Phu Tho Province, Vietnam. The questionnaire was developed based on validated international scales (TAM/UTAUT, SRL, and PR) and subsequently adapted to the Vietnamese educational context; all items were measured using a five-point Likert scale. The findings serve as an empirical basis for proposing contextualized design implications in developing GenAI-integrated digital learning platforms to enhance students’ learning effectiveness, particularly within the Grade 10 Mathematics curriculum (2018 General Education Program).
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1. Barnard, L., Lan, W. Y., To, Y. M., Paton, V. O., & Lai, S. L. (2009). Measuring self-regulation in online and blended learning environments. The Internet and Higher Education, 12(1), 1–6. https://doi.org/10.1016/j.iheduc.2008.10.005
2. Barnard-Brak, L., Paton, V. O., & Lan, W. Y. (2010). Profiles in self-regulated learning in the online learning environment. The International Review of Research in Open and Distributed Learning, 11(1), 61–79. https://doi.org/10.19173/irrodl.v11i1.769
3. Broadbent, J., Panadero, E., Lodge, J. M., & de Barba, P. G. (2022). Self-regulated learning in technology-enhanced learning environments: A systematic review of research published between 2000 and 2019. Computers & Education, 179, Article 104429. https://doi.org/10.1016/j.compedu.2021.104429
4. 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
5. Featherman, M. S., & Pavlou, P. A. (2003). Predicting e-services adoption: A perceived risk facets perspective. International Journal of Human-Computer Studies, 59(4), 451–474. https://doi.org/10.1016/S1071-5819(03)00111-3
6. Government of Vietnam. (2020). Decision No. 749/QĐ-TTg: Approving the National Digital Transformation Program to 2025, orientation to 2030. Government Portal.
7. Harahap, L. E. S., Andayani, S., & Ekwan, D. (2025). How does self-regulated learning affect students’ mathematics anxiety? Pedagogical Research, 10(1), Article em0230. https://doi.org/10.29333/pr/15648
8. Holmes, W., Bialik, M., & Fadel, C. (2024). Artificial intelligence in education: Promises and implications for teaching and learning (Updated ed.). Center for Curriculum Redesign (CCR).
9. Ministry of Education and Training. (2018). Circular No. 32/2018/TT-BGDĐT: Promulgating the General Education Curriculum 2018. Government Portal.
10. Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric theory (3rd ed.). McGraw-Hill.
11. UNESCO. (2023). Guidance for generative AI in education and research. United Nations Educational, Scientific and Cultural Organization.
12. Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425–478. https://doi.org/10.2307/30036540
13. Venkatesh, V., Thong, J. Y. L., & Xu, X. (2012). Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology. MIS Quarterly, 36(1), 157–178. https://doi.org/10.2307/41410412
14. 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), Article 39. https://doi.org/10.1186/s41239-019-0171-0
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