Giải pháp tích hợp trí tuệ nhân tạo vào chương trình đào tạo ở các trường đại học

Các tác giả

  • Nguyễn Danh Nam Trường Đại học Thái Nguyên

Tóm tắt

Higher Education is undergoing rapid transformation, driven by the increasing demand for high-level technological integration. This integration offers solutions to enhance student experience, increase interaction, and support personalization within online learning environments. Artificial Intelligence (AI), particularly Generative Artificial Intelligence (GenAI) tools has become widely utilized across various domains in universities. This article analyzes the challenges and proposes several solutions for integrating AI into the curriculum of higher education institutions. Furthermore, the 5E Model and the SAMR Model are introduced to support and improve instructional activities, assessment methods, and to integrate regulations regarding AI usage into detailed course syllabi. Consequently, faculty members will be empowered to design AI-integrated teaching activities, modify, or establish new course objectives aimed at developing students’ AI competency. The research findings also reveal challenges in integrating AI into the curriculum, including ethical and institutional considerations, data privacy, algorithmic bias, and governance.

Tài liệu tham khảo

Almarode, J., & Vandas, K. (2019). Clarity for learning: Five essential practices that empower students and teachers. Corwin.

Chan, C. K. Y., & Hu, W. (2023). Students’ voices on generative AI: Perceptions, benefits, and challenges in higher education. International Journal of Educational Technology in Higher Education, 20(1), 43. https://doi.org/10.1186/s41239-023-00411-8

Chan, C. K. Y., & Lee, K. K. W. (2023). The AI generation gap: Are Gen Z students more interested in adopting generative AI such as ChatGPT in teaching and learning than their Gen X and millennial generation teachers? Smart Learning Environments, 10(1), 60. https://doi.org/10.1186/s40561-023-00269-3

Cotton, D. R. E., Cotton, P. A., & Shipway, J. R. (2024). Chatting and cheating: Ensuring academic integrity in the era of ChatGPT. Innovations in Education and Teaching International, 61(2), 228-239. https://doi.org/10.1080/14703297.2023.2190148

Dall’Alba, G. (1994). The role of teaching in higher education: Enabling students to enter a field of study and practice. Learning and Instruction, 3(4), 299-313. https://doi.org/10.1016/0959-4752(93)90021-Q

Darvishi, A., Khosravi, H., Sadiq, S., Gašević, D., & Siemens, G. (2023). Impact of AI assistance on student agency. Computers & Education, 210, 104967. https://doi.org/10.1016/j.compedu.2023.104967

Ghimire, A., & Edwards, J. (2024). From guidelines to governance: A study of ai policies in education. International Conference on Artificial Intelligence in Education (pp. 299-307). Cham: Springer Nature Switzerland.

Holmes, W., Porayska-Pomsta, K., Holstein, K., Sutherland, E., Baker, T., Shum, S. B., ... & Koedinger, K. R. (2022). Ethics of AI in education: Towards a community-wide framework. International Journal of Artificial Intelligence in Education, 32(3), 504-526.

Hwang, G.-J., & Chen, N.-S. (2023). Editorial Position Paper: Exploring the Potential of Generative Artificial Intelligence in Education: Applications, Challenges, and Future Research Directions. Educational Technology & Society, 26(2). https://doi.org/10.30191/ETS.202304_26(2).0014

Kohnke, L., Moorhouse, B. L., & Zou, D. (2023). ChatGPT for language teaching and learning. Relc Journal, 54(2), 537-550. https://doi.org/10.1177/00336882231162868

Kostas, A., Paraschou, V., Spanos, D., Tzortzoglou, F., & Sofos, A. (2025). AI and ChatGPT in Higher Education: Greek Students’ Perceived Practices, Benefits, and Challenges. Education Sciences, 15(5), 605. https://doi.org/10.3390/educsci15050605

Long, D., & Magerko, B. (2020). What is AI Literacy? Competencies and Design Considerations. Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, 1-16. https://doi.org/10.1145/3313831.3376727

Mishra, P., & Koehler, M. J. (2006), Technological pedagogical content knowledge: A framework for teacher knowledge. Teachers College Record, 108(6), 1017-1054. https://doi.org/10.1111/j.1467-9620.2006.00684

Ng, D. T. K., Leung, J. K. L., Chu, S. K. W., & Qiao, M. S. (2021). Conceptualizing AI literacy: An exploratory review. Computers and Education: Artificial Intelligence, 2, 100041. https://doi.org/10.1016/j.caeai.2021.100041

Puentedura, R. R. (2012). The SAMR model: Background and exemplars. http://www.hippasus.com/rrpweblog/archives/000073.html

Rudolph, J., Tan, S., & Tan, S. (2023). ChatGPT: Bullshit spewer or the end of traditional assessments in higher education?. Journal of Applied Learning and Teaching, 6(1), 342-363. https://doi.org/10.37074/jalt.2023.6.1.9

Sullivan, M., Kelly, A., & McLaughlan, P. (2023). ChatGPT in higher education: Considerations for academic integrity and student learning. Journal of Applied Learning & Teaching, 6(1), 31-40. https://doi.org/10.37074/jalt.2023.6.1.17

UNESCO (2023). ChatGPT and artificial intelligence in higher education: Quick start guide. https://www.iesalc.unesco.org/wp-content/uploads/2023/04/ChatGPT-and-Artificial-Intelligence-in-highereducation-Quick-Start-guide_EN_FINAL.pdf

Yan, L., Sha, L., Zhao, L., Li, Y., Martinez-Maldonado, R., Chen, G., Li, X., Jin, Y., & Gašević, D. (2024). Practical and ethical challenges of large language models in education: A systematic scoping review. British Journal of Educational Technology, 55(1), 90-112. https://doi.org/10.1111/bjet.13370

Tải xuống

Đã Xuất bản

20.02.2026

Cách trích dẫn

Nguyễn Danh Nam, N. D. N. (2026). Giải pháp tích hợp trí tuệ nhân tạo vào chương trình đào tạo ở các trường đại học. Tạp Chí Giáo dục, 26(04), 1–6. Truy vấn từ https://tcgd.tapchigiaoduc.edu.vn/index.php/tapchi/article/view/4852

Số

Chuyên mục

Các bài báo