Key Skills and Competences for Lifelong Learners in the Artificial Intelligence Era

Key Skills and Competences for Lifelong Learners in the Artificial Intelligence Era

Doan Thi Hue Dung* doanthihuedung@siu.edu.vn Saigon International University (Vietnam)
Nguyen Nhat Quang nguyennhatquang@siu.edu.vn Saigon International University (Vietnam)
Summary: 
This article identifies and conceptualizes key competences essential for lifelong learners to engage critically, ethically, and effectively within AI mediated environments. In the age of artificial intelligence (AI), lifelong learning must be reimagined to meet the demand for multi-dimensional competences. This study moves beyond traditional skill-based frameworks by highlighting critical awareness, relational intelligence, and future-oriented responsibility as key competencies. Grounded in connectivism, affordance theory, and transformative learning, this study conceptualizes Human-AI learning interaction across three interconnected domains including grounding personal agency, navigating human-AI relationships, and envisioning transformative futures. Methodologically, the study is informed by a comprehensive synthesis of theoretical literature, policy documents, and recent empirical research across education, technology, and lifelong learning. The article contributes a theoretically grounded and forward-looking model to inform lifelong learning policy, pedagogy, and learner development in the AI era.
Keywords: 
Lifelong learning
skill development
competence development
AI-mediated learning
lifelong learner
Refers: 

[1] Aspin, N., & Chapman, D. (2001). Lifelong learning: Concepts and conceptions. Routledge.

[2] Binns, R. (2018). Algorithmic accountability and public reason. Philosophy and Technology, 31(4), 543–556.

[3] Biesta, G. (2006). Beyond learning: Democratic education for a human future. Paradigm Publishers.

[4] Bower, M. (2008). Affordance analysis - Matching learning tasks with learning technologies. Educational Media International, 45(1), 3–15.

[5] Conole, G., & Dyke, M. (2004). What are the affordances of information and communication technologies? ALT-J, 12(2), 113–124.

[6] Cranton, P. (2006). Understanding and promoting transformative learning: A guide for educators of adults (2nd ed.). Jossey-Bass.

[7] Dewey, J. (1933). How we think: A restatement of the relation of reflective thinking to the educative process. D.C. Heath and Company.

[8] Doan, T. H. D. (2025). Deep learning for school age children in the artificial intelligence era: An educational imperative. Journal of Research and Method in Education, 15(3), 24–29. https://doi. org/10.9790/7388-1503012429

[9] Delors, J., Al Mufti, I., Amagi, I., Carneiro, R., Chung, F., Geremek, B., & Nanzhao, Z. (1996). Learning: The treasure within: Report to UNESCO of the International Commission on Education for the Twenty-first Century. UNESCO Publishing.

[10] Downes, S. (2012). Connectivism and connective knowledge: Essays on meaning and learning networks. National Research Council Canada.

[11] ETS (2025), 2025 ETS Human Progress Report. Educational Testing Service.

[12] European Commission. Key Competences for Lifelong Learning. Basic skills - European Education Area

[13] Eliza, M. (2023). Digital transformation in adult education: Empowering global understanding and sustainable development. Journal of Educational Sciences, 24(2), 46–63.

[14] Faure, E., Herrera, F., Kaddoura, A.-R., Lopes, H., Petrovsky, A. V., Rahnema, M., & Ward, F. C. (1972). Learning to be: The world of education today and tomorrow. UNESCO.

[15] Gibson, J. (1979). The ecological approach to visual perception. Houghton Mifflin.

[16] Huang, L. (2023) Ethics of Artificial Intelligence in Education: Student Privacy and Data Protection. Science Insights Education Frontiers, 16, 2577 2587. https://doi.org/10.15354/sief.23.re202

[17] Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial intelligence in education: Promises and implications for teaching and learning. Center for Curriculum Redesign.

[18] Howard, A., & Choudhury, M. (2022). Ethics in AI education. AI and Ethics, 2, 1–13.

[19] Jackson, N.(Ed.) (2011). Learning for a complex world: a lifewide concept of learning, education and personal development. AuthorHouse Publishing.

[20] Kizilcec, R. F., Pérez-Sanagustín, M., & Maldonado, J. J. (2017). Self-regulated learning strategies predict learner behaviour and goal attainment in Massive Open Online Courses. Computers and Education, 104, 18–33.

[21] Long, D., & Magerko, B. (2020). What is AI literacy? Competencies and design considerations. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (pp. 1–16). https://doi.org/10.1145/3313831.3376727

[22] Mezirow, J. (1991). Transformative dimensions of adult learning. Jossey-Bass.

[23] Milligan, C., & Littlejohn, A. (2015). Supporting professional learning in a massive open online course. The International Review of Research in Open and Distributed Learning, 15(5), 197–213. https://doi.org/10.19173/irrodl.v15i5.1855

[24] Ng, D. T. K., & Chu, S. K. W. (2021). Motivating Students to Learn AI Through Social Networking Sites: A Case Study in Hong Kong. Online Learning, 25(1), 195–208.

[25] Nguyen, Q. N. (2022). Postlesson affordance-based reflective discussion in ELT classes. TESOL Journal, 13(4), e677. https://doi.org/10.1002/ tesj.677

[26] Nguyen, Q. N. (2025). Affordance theory in language education: A multidimensional framework. TESL EJ.

[27] Nguyen, Q. N. & Doan, D. T. H (2025). ChatGPT’s effects on EFL learners’ autonomy and self-efficacy in self-regulated learning contexts. The JALT CALL Journal, 21(2), 102968. https://doi.org/10.29140/ jaltcall.v21n2.102968

[28] Norman, D. A. (1999). Affordance, conventions, and design. Interactions, 6(3), 38–43.

[29] OECD. (2019). OECD learning compass 2030: A series of concept notes. OECD Publishing.

[30] OECD. (2023). Skills outlook 2023: Skills for a resilient green and digital transition. OECD Publishing.

[31] Panadero, E. (2017). A review of self-regulated learning: Six models and four directions for research. Frontiers in Psychology, 8, 422.

[32] Siemens, G. (2005). Connectivism: A learning theory for the digital age. International Journal of Instructional Technology and Distance Learning, 2(1), 3–10.

[33] Selwyn, N. (2019). Should robots replace teachers? AI and the future of education. Polity Press.

[34] Taylor, E. W. (2009). Fostering transformative learning. In J. Mezirow and E. W. Taylor (Eds.), Transformative learning in practice: Insights from community, workplace, and higher education (pp. 3–17). Jossey-Bass.

[35] UNESCO. (2021). Reimagining our futures together: A new social contract for education.

[36] World Economic Forum. (2020). The future of jobs report 2023.

[37] Yeaxlee, B. (1929). Lifelong education. Facsimile Publisher.

[38] Zimmerman, B. J. (2002). Becoming a self-regulated learner: An overview. Theory Into Practice, 41(2), 64–70.

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