Resumo
Purpose: This study explores how Artificial Intelligence (AI) is transforming education and proposes a multidimensional framework for AI literacy as a foundation for equitable and ethical integration of AI-driven learning models. It examines how AI can enhance personalization, inclusivity, and creativity while addressing the challenges of ethics, transparency, and bias in educational contexts.
Design/Methodology/Approach: The research employs a conceptual and exploratory design grounded in a systematic literature review, case study analysis, and examination of international policy frameworks such as UNESCO’s AI and Education: Guidance for Policymakers (2023). It synthesizes insights from educational technology, ethics, and digital literacy traditions to construct a three-dimensional model of AI literacy—functional, critical, and creative.
Findings: The study finds that AI literacy is essential to ensure responsible engagement with intelligent systems. Functional literacy enables effective use of AI tools; critical literacy fosters awareness of biases, limitations, and ethical implications; and creative literacy promotes collaboration with AI in innovation and problem-solving. Together, these dimensions empower learners and educators to act as reflective and active participants in the co-construction of knowledge.
Research Limitations/Implications: As a conceptual study, the framework requires empirical validation through classroom implementation and longitudinal evaluation. Future research should examine how AI literacy affects learning outcomes and democratic engagement.
Originality/Value: By integrating functional, critical, and creative dimensions, this paper positions AI literacy as a key competency for 21st-century education—bridging technological innovation with humanistic and ethical values.
Referências
Allington, D., Duffy, B., Wessely, S., Dhavan, N., & Rubin, J. (2020). Health-protective behaviour, social media, and misinformation during the COVID-19 pandemic. Psychological Medicine, 51(10), 1763–1769.
Buckingham, D. (2020). The Media Education Manifesto. Polity Press.
Chen, L., Chen, P., & Lin, Z. (2020). Artificial intelligence in education: A review. IEEE Access, 8, 75264–75278.
European Commission. (2021). Coordinated Plan on Artificial Intelligence 2021 Review.
Floridi, L., Cowls, J., Beltrametti, M., Chatila, R., Chazerand, P., Dignum, V., ... & Vayena, E. (2018). AI4People—An ethical framework for a good AI society. Minds and Machines, 28(4), 689–707.
Gebru, T., Morgenstern, J., Vecchione, B., Vaughan, J. W., Wallach, H., Daumé, H., & Crawford, K. (2021). Datasheets for datasets. Communications of the ACM, 64(12), 86–92.
Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial Intelligence in Education: Promises and Implications for Teaching and Learning. Center for Curriculum Redesign.
Holmes, W., Porayska-Pomsta, K., Holstein, K., Sutherland, E., Baker, T., Shum, S. B., & Santos, O. C. (2022). Ethics of AI in education: Towards a community-wide framework. International Journal of Artificial Intelligence in Education, 32(3), 525–560.
Lewandowsky, S., Ecker, U. K. H., & Cook, J. (2017). Beyond misinformation: Understanding and coping with the “post-truth” era. Journal of Applied Research in Memory and Cognition, 6(4), 353–369.
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.
Luckin, R. (2017). Towards Artificial Intelligence-based Assessment Systems. Nature Human Behaviour, 1, 0028.
Ng, D. T. K. (2021). Artificial intelligence literacy: A multidimensional construct. Journal of Computer Assisted Learning, 37(4), 846–857.
OECD. (2021). AI in Education: Implementing Policy and Practice. Organisation for Economic Co-operation and Development.
O’Neil, C. (2016). Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy. Crown Publishing.
UNESCO. (2023). AI and Education: Guidance for Policymakers. Paris: UNESCO.
Voigt, P., & Von dem Bussche, A. (2017). The EU General Data Protection Regulation (GDPR): A Practical Guide. Springer.
Williamson, B., & Eynon, R. (2020). Historical threads, missing strands, and future patterns: Artificial intelligence in education lab. Learning, Media and Technology, 45(3), 223–235.
Zarocostas, J. (2020). How to fight an infodemic. The Lancet, 395(10225), 676.
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, 39.
Zhang, K., Song, Y., Tan, W., & Zhu, Q. (2020). Smart education: AI applications in higher education. Journal of Educational Technology Development and Exchange, 13(2), 1–15.

Este trabalho está licenciado sob uma licença Creative Commons Attribution 4.0 International License.
Copyright (c) 2025 Journal of Interdisciplinary Knowledge

