Artificial Intelligence as a Catalyst for Flexible and Personalized Learning Practices: A Field Review

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Published: Apr 7, 2025
DOI: https://doi.org/10.12681/codiste.7849
Keywords:
Personalized learning flexible systems Artificial Inteligence art in science education
Stavros Stavrinides
https://orcid.org/0000-0001-8484-1402
Christos Koukaras
Democritus University of Thrace
https://orcid.org/0009-0002-5947-1117
Prof.
Democritus Univerity of Thrace
Dr.
International Hellenic University
https://orcid.org/0000-0002-1183-9878
Prof.
Aristotle University of Thessaloniki
Abstract

Artificial Intelligence (AI) is rapidly reshaping the modern educational landscape, enabling learning strategies which can be finely tuned to individual student needs in scale. This scoping review investigates how adaptive learning systems and intelligent tutoring systems can offer more meaningful and personalized learning approaches. Additionally, student-centered digital tool models are presented, noting in parallel the challenges (technological infrastructure, training, data management). Finally, realistic solutions are given which can facilitate the harmonious and effective integration of new technologies into educational practice, focusing on transparency, availability and equal access.

Article Details
  • Section
  • 14th Panhellenic Conference of Didactics in Science Education
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