Adaptive Lifelong Learning (ALL)

Publication date

2024-07-02

Authors

Gharahighehi, Alireza
Van Schoors, Rani
Topali, Paraskevi
Ooge, JeroenORCID 0000-0001-9820-7656ISNI 0000000524576140

Editors

Olney, Andrew M.
Chounta, Irene-Angelica
Liu, Zitao
Santos, Olga C.
Bittencourt, Ig Ibert

Advisors

Supervisors

Document Type

Part of book
Open Access logo

License

taverne

Abstract

This half-day workshop emphasizes the role of adaptive lifelong learning in the dynamic landscape of Artificial Intelligence in Education (AIED). The pervasive influence of digitization mandates continuous learning, responding to the challenges of automation and skill gaps. While learners and trainees are pivotal in implementing AI in lifelong learning education, they face challenges such as information overload and the necessity to exhibit high degrees of flexibility to adapt to the rapid changes and continuous evolution of AI tools. By highlighting the virtues of adaptive lifelong learning, the workshop examines the impact of AI on a diverse spectrum of learners. Adaptive AI tools emerge as a source of support for bridging learning gaps, particularly in the post-pandemic landscape, offering essential support to learners through streamlined automation. Furthermore, the workshop emphasizes the critical necessity for adaptation in the evolving AIED domain, moving beyond its roots in computer science to encompass a broader educational perspective. With a specific focus on multi-criteria adaptive lifelong learning, the workshop advocates for collaboration among learners, educators, policymakers, researchers, and EdTech companies. The ultimate goal is to facilitate the development of relevant and evidence-based adaptive AI tools that significantly enhance lifelong learning.

Keywords

Taverne, General Computer Science, General Mathematics

Citation

Gharahighehi, A, Van Schoors, R, Topali, P & Ooge, J 2024, Adaptive Lifelong Learning (ALL). in A M Olney, I-A Chounta, Z Liu, O C Santos & I I Bittencourt (eds), Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky - 25th International Conference, AIED 2024, Proceedings. Communications in Computer and Information Science, vol. 2151 CCIS, Springer, pp. 452-459, 25th International Conference on Artificial Intelligence in Education, AIED 2024, Recife, Brazil, 8/07/24. https://doi.org/10.1007/978-3-031-64312-5_57, conference