The Future of Education

Edition 16

Accepted Abstracts

Toward Ubiquitous Learning for Adults: Opportunities Enabled by Artificial Intelligence

Laura Vettraino, Ministry of Instruction (Italy)

Abstract

Adult learning and continuous upskilling throughout life are essential conditions for active citizenship and workforce adaptability. The European Education Area strategic framework sets a target whereby at least 60% of adults aged 25–64 should participate in learning activities over a 12-month period by 2030. Yet, according to the European Commission’s Directorate-General for Education and Training, Education and Training Monitor 2025, in 2022 the participation rate stood at only 39.5%. A stereotyped educational offer unable to valorise learners’ biographical backgrounds and learning styles, constraints related to time and financial resources, together with previous negative learning experiences, may demotivate adults from undertaking new learning pathways. This paper explores how digital technologies in general, and artificial intelligence in particular, may enable a ubiquitous and engaging learning experience for adult learners, provided that effective strategies for orientation and personalization are implemented and that a multidimensional pedagogical interpretative paradigm is adopted.

 

Keywords

personalization, Artificial intelligence, ubiquitous learning, complex learning, adult learning

 

REFERENCES

[1] Sobhi Tawil, Fengchun Miao. Steering the Digital Transformation of Education: UNESCO’s Human-Centered Approach. Frontiers of Digital Education, 2024, 1(1): 51-58.

[2] Guglielman G., Guspini M., Vettraino L., Complex Learning: A Way of Rethinking Teaching and Learning, in Leone S. (a cura di), Synergic Integration of Formal and Informal E-Learning Environments for Adult Lifelong Learners, IGI Global, 2013, 121-141.

[3] Zhang Xiong, Haoxuan Li, Zhuang Liu, Zhuofan Chen, Hao Zhou, Wenge Rong, Yuanxin Ouyang. A Review of Data Mining in Personalized Education: Current Trends and Future Prospects. Frontiers of Digital Education, 2024, 1(1): 26-50.

[4] Qingwen Xu, An Integrative Framework for the Educational Interaction Design of AI-Driven Personalized Learning Platforms, 2025, Journal of Education Humanities and Social Sciences, 57:72-79

[5] Sala, A., Punie, Y., Garkov, V. and Cabrera Giraldez, M., LifeComp: The European Framework for Personal, Social and Learning to Learn Key Competence, 2020, Publications Office of the European Union.

[6] European Commission: Directorate-General for Education, Youth, Sport and Culture, Ethical guidelines on the use of artificial intelligence (AI) and data in teaching and learning for educators, 2022, Publications Office of the European Union.

 

Back to the list

REGISTER NOW

Reserved area


Indexed in


Media Partners:

Click BrownWalker Press logo for the International Academic and Industry Conference Event Calendar announcing scientific, academic and industry gatherings, online events, call for papers and journal articles
Pixel - Via Luigi Lanzi 12 - 50134 Firenze (FI) - VAT IT 05118710481
    Copyright © 2026 - All rights reserved

Privacy Policy

Webmaster: Pinzani.it