The conceptual framework of AI literacy, applications, and ethics within the context of higher education
คำสำคัญ:
AI literacy, AI application, higher education, ethicบทคัดย่อ
Artificial Intelligence (AI) has been increasingly integrated across all levels of education, from early childhood and primary education to secondary and higher education. Educational institutions must recognize the essential knowledge, skills, and attitudes individuals need to engage with AI effectively, including ethical awareness and critical evaluation of AI-generated information. This underscores the urgent need for AI literacy. However, research in this area remains limited, particularly within the context of Thai higher education, where concrete and context-sensitive applications are still lacking. This academic article aims to present 1. AI applications in higher education, 2. A conceptual framework of AI literacy for higher education, 3. Ethical considerations and human agency, and 4. Policy and practice recommendations for enhancing AI literacy. The analysis highlights that AI adoption in higher education primarily supports educational management, faculty development, and student learning. Therefore, promoting AI literacy at the tertiary level is essential. The article proposes a clear and comprehensive conceptual framework for AI literacy in higher education, emphasizing technical competence, ethical reasoning, and critical thinking. Seven key components of AI literacy are identified: 1. foundational AI knowledge, 2. technical understanding, 3. interaction with AI, 4. AI awareness and collaboration, 5. reasoning and responsibility, 6. ethics, and 7. impact. Higher education institutions should establish policies, guidelines, and ethical standards for responsible AI use to foster AI literacy in rapidly evolving, AI-driven educational environments. Emphasizing AI literacy education serves to prepare stakeholders in higher education with the essential knowledge, understanding, and mindset required to engage with AI ethically and responsibly. This foundation enables them to address professional and societal challenges more effectively and to enhance their quality of life through informed and conscientious use of AI.
เอกสารอ้างอิง
Agarwal, S. (2025). The best AI content detectors in 2025. Zapier. https://zapier.com/blog/ai-content-detector/.
Akgun, S., & Greenhow, C. (2022). Artificial intelligence in education: Addressing ethical challenges in K-12 settings. AI Ethics, 2, 431–440.
Baskara, F. R. (2025). Conceptualizing digital literacy for the AI era: A framework for preparing students in an AI-driven world. Data and Metadata, 4, 530. https://doi.org/10.56294/dm2025530
Chakamanont, S., & Thabmali, P. (2025). Guidelines for enhancing Thai teachers’ Artificial Intelligence literacy in the digital age. Journal of Education and Innovation, 27(1), 186-201.
Chan, C. K. Y. (2023). A comprehensive AI policy education framework for university teaching and learning. International Journal Education Technology in Higher Education, 20, Article number 38. https://doi.org/10.1186/s41239-023-00408-3
Chiu, T. K. F. (2025). Student AI literacy and competency. In Empowering K–12 education with AI: Preparing for the future of education and work (pp. 31–54). Routledge, Taylor & Francis Group. https://doi.org/10.4324/9781003498377-2
Gillard, C., & Rorabaugh, P. (2023). You’re not going to like how colleges respond to ChatGPT. Slate. Retrieved September 29, 2025, from https://slate.com/technology/2023/02/chat-gpt-cheating-college-ai-detection.html
Holistic Competency & Virtue Education. (2025). AI Literacy. The University of Hong Kong. Retrieved September 25, 2025, from https://www.have.hku.hk/ai-literacy.
Karaca, O., Çalışkan, S. A., & Demir, K. (2021). Medical artificial intelligence readiness scale for medical students (MAIRS-MS)–Development, validity and reliability study. BMC Medical Education, 21, 112. https://doi.org/10.1186/s12909-021-02546-6
Kelley, M., & Wenzel, T. (2025). Advancing Artificial Intelligence Literacy in Teacher Education Through Professional Partnership Inquiry. Education Sciences, 15(6), Article 659. https://doi.org/10.3390/educsci15060659
Kong, S. C., Korte, S. M., Burton, S., Keskitalo, P., Turunen, T., Smith, D., Wang, L., Lee, J. C-K., & Beaton, M. C. (2024). Artificial Intelligence (AI) literacy-an argument for AI literacy in education. Innovations in Education and Teaching International, 62(2), 477–483. https://doi.org/10.1080/14703297.2024.2332744.
Lee, I., Ali, S., Zhang, H., DiPaola, D., & Breazeal, C. (2021). Developing middle school students’ AI literacy. In Proceedings of the 52nd ACM Technical Symposium on Computer Science Education (SIGCSE ’21) (pp. 191–197). Association for Computing Machinery. https://doi.org/10.1145/3408877.3432513
Lin, C. H., Yu, C. C., Shih, P. K., Wu, L. Y. (2021). STEM based artificial intelligence learning in general education for non-engineering undergraduate students. Educational Technology & Society, 24(3), 224–237.
Long, D., & Magerko, B. (2020). What is AI Literacy? Competencies and Design Considerations. In CHI ’20: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (pp.1-16). Association for Computing Machinery, New York, US. https://doi.org/10.1145/3313831.3376727
Neelakantan, S. (2020). Successful AI examples in higher education can inspire our future. EdTech Magazine. https://edtechmagazine.com/higher/article/2020/01/successful-ai-examples-higher-education-can-inspire-our-future
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, 2, Article number 100041. https://doi.org/10.1016/j.caeai.2021.100041.
Nguyen, T. T. (2025). Artificial intelligence in higher education: A systematic review of impacts, barriers, and emerging trends. IOSR Journal of Research & Method in Education, 15(3), 53–61. https://www.iosrjournals.org/iosr-jrme/papers/Vol-15%20Issue-3/Ser-1/H1503015361.pdf
Oravec, J. A. (2023). Artificial intelligence implications for academic cheating: Expanding the dimensions of responsible human-AI collaboration with ChatGPT and Bard. Journal of Interactive Learning Research, 34(2), 213–237.
Perry, D. R., & Steck, A. K. (2015). Increasing student engagement, self-efficacy, and meta-cognitive self-regulation in the high school geometry classroom: Do iPads help? Computers in the Schools, 32(2), 122–143.
Pisica, A. I., & Zaharia, R. M. (2025). Artificial Intelligence literacy: Human and intelligent machine alliance – Learners’ insights. Paper presented at the New Perspectives in Science Education International Conference (14th ed.), Florence, Italy. Bucharest University of Economic Studies. Retrieved from https://conference.pixel-online.net/library_scheda.php?id_abs=7232.
Samngamjan, N., Phettom, P., Sa-ngunsat, K., & Philuek, W. (2024). A survey study on AI literacy of Nakhon Sawan Rajabhat University’s digital technology teacher students in Thailand. Shanlax International Journal of Education, 13(1), 33-40.
Slimi, Z. (2023). The Impact of Artificial Intelligence on Higher Education: An Empirical Study. European Journal of Educational Sciences, 10(1), 17-33.
Taecharungroj, V., & Karnchanapoo, K. (2025). AI Literacy in the Age of Generative AI-Building a Future-Ready Society. AI Governance Clinic, EDDA.
Williams, R., Ali, S., Devasia, N., DiPaola, D., Hong, J., Kaputsos, S. P., Jordan, B., Breazeal, C. (2023). AI+ ethics curricula for middle school youth: lessons learned from three project-based curricula. International Journal Artificial Intelligence Education, 33, 325–383. https://doi.org/10.1007/s40593-022-00298-y.
Winkelmes, M., Boye, A., & Tapp, S. (2019). Transparent design in higher education teaching and leadership: A guide to implementing the transparency framework institution-wide to improve learning and retention. Routledge.
Xie, Y., Wu, S., & Chakravarty, S. (2023). AI meets AI: Artificial intelligence and academic integrity
A survey on mitigating AI-assisted cheating in computing education. 24th annual conference on information technology education (SIGITE ‘23), October 11–14, Marietta, GA, USA.
Yang, Y., Zhang, Y., Sun, D., He, W., & Wei, Y. (2025). Navigating the landscape of AI literacy education: Insights from a decade of research (2014–2024). Humanities & Social Sciences Communications, 12, Article 374. https://doi.org/10.1057/s41599-025-04583-8
Zhang, H., Lee, I., Ali, S., DiPaola, D., Cheng, Y., Breazeal, C. (2022). Integrating ethics and career futures with technical learning to promote AI literacy for middle school students: an exploratory study. International Journal Artificial Intelligence Education 33, 290–324. https://doi.org/10.1007/s40593-022-00293-3.
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