AI-Driven Data Literacy Development for Medical Students: A Teaching Reform Study at Guangdong Medical University

Yuyun Chen; Zaihong Zhou; Yaomin Wang

doi:10.6918/IJOSSER.202611_9(11).0029

Authors

Yuyun Chen The School of Biomedical Engineering, Guangdong Medical University, Dongguan 523808, China
Zaihong Zhou The School of Biomedical Engineering, Guangdong Medical University, Dongguan 523808, China
Yaomin Wang The School of Biomedical Engineering, Guangdong Medical University, Dongguan 523808, China

DOI:

https://doi.org/10.6918/IJOSSER.202611_9(11).0029

Keywords:

Artificial intelligence; data literacy; medical education; New Medical Education; teaching reform.

Abstract

The rapid development of artificial intelligence (AI) is accelerating the digital and intelligent transformation of healthcare, placing new demands on the competencies required of future medical professionals. Data literacy, as a core component of medical students’ professional competencies in the digital era, has become an important priority in the development of New Medical Education. However, data literacy education for medical students continues to face several challenges, including a misalignment between educational objectives and industry needs, underdeveloped curricula, insufficient digital competencies among faculty, and inadequate assessment mechanisms. In response, Guangdong Medical University has actively promoted the integration of AI into medical education and explored a new approach to data literacy development through curriculum restructuring, the development of intelligent teaching platforms, project-based learning, and innovative assessment mechanisms. Drawing on the university’s teaching reform practices, this study examines the major challenges in developing medical students’ data literacy, summarizes practical experiences in AI-enabled educational reform, and proposes strategies for future improvement. The findings aim to provide practical insights for local medical universities seeking to advance New Medical Education and accelerate the digital transformation of higher education.

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References

[1] Koltay, T. (2015). Data literacy: In search of a name and identity. Journal of Documentation, 71(2), 401–415. https://doi.org/10.1108/jd-02-2014-0026.

[2] Calzada Prado, J., & Marzal, M. A. (2013). Incorporating data literacy into information literacy programs: Core competencies and contents. Libri, 63(2), 123–134. https://doi.org/10.1515/libri-2013-0010

[3] Wolff, A., Gooch, D., Cavero Montaner, J. J., Rashid, U., & Kortuem, G. (2016). Creating an understanding of data literacy for a data-driven society. Journal of Community Informatics, 12(3), 9–26. https://doi.org/10.15353/joci.v12i3.3275

[4] Sun, S. H., & Liu, B. Q. (2020). Theoretical framework and practical approaches for educational applications of artificial intelligence. E-Education Research, 41(10), 5–15. (in Chinese)

[5] Ou, F. F., & Ou, Y. K. (2020). Applications and impacts of artificial intelligence in higher education. Higher Education Forum, 12, 127–130. (in Chinese)

[6] Zhang, Y. (2025). AI-enabled classroom teaching: Value implications, practical challenges, and implementation pathways. Theory and Practice of Education, 45(18), 51–55. (in Chinese)

[7] Chen, Y. T., & Ai, X. (2024). The connotations, characteristics, and practical requirements of a digital-intelligent teaching ecosystem. Academic Exploration, 7, 148–156. (in Chinese)

[8] Li, Y. Z., Zeng, J. Z., & Tian, L. J. (2024). Challenges and strategies for improving the digital-intelligent literacy of accounting and finance faculty in higher education. Higher Education Forum, 8, 37–42. (in Chinese)

[9] Hu, Q. T., & Zheng, K. (2023). The logic, challenges, and pathways of educational digital transformation. Modern Distance Education Research, 1, 3–11. (in Chinese)

[10] Huang, R. H., & Zhang, M. H. (2021). Educational transformation and innovation in talent development in the era of artificial intelligence. China Educational Technology, 8, 1–8. (in Chinese)

[11] Wang, W. M. (2022). Reform and innovative development of medical education in the context of New Medical Education. China Higher Medical Education, 10, 1–4. (in Chinese)

[12] Liu, L. Y., & Chen, M. (2023). Current status, challenges, and development trends of medical information literacy education. Researches in Medical Education, 31(4), 489–494. (in Chinese)

[13] Liu, X. H., Liu, Y. Y., & He, X. Y. (2025). Exploration and practice of curriculum teaching in information management and information systems under the “AI + X” paradigm. Theoretical Research and Practice of Innovation and Entrepreneurship, 8(9), 39–41. (in Chinese)