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Cited by 218Artificial Intelligence in EducationIntelligent Tutoring Systems and Adaptive LearningArtificial Intelligence in Healthcare and Education

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Generative Artificial Intelligence in Education: Advancing Adaptive and Personalized Learning

Open access
Guettala, Manel, Bourekkache, Samir, Kazar, Okba, Harous, Saad·2024·Acta Informatica Pragensia
DOI 10.18267/j.aip.235
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Abstract

The integration of generative artificial intelligence (AI) into adaptive and personalized learning represents a transformative shift in the educational landscape.This research paper investigates the impact of incorporating generative AI into adaptive and personalized learning environments, with a focus on tracing the evolution from conventional artificial intelligence methods to generative AI and identifying its diverse applications in education.The study begins with a comprehensive review of the evolution of generative AI models and frameworks.A framework of selection criteria is established to curate case studies showcasing the applications of generative AI in education.These case studies are analysed to elucidate the benefits and challenges associated with integrating generative AI into adaptive learning frameworks.Through an in-depth analysis of selected case studies, the study reveals tangible benefits derived from generative AI integration, including increased student engagement, improved test scores and accelerated skill development.Ethical, technical and pedagogical challenges related to generative AI integration are identified, emphasizing the need for careful consideration and collaborative efforts between educators and technologists.The findings underscore the transformative potential of generative AI in revolutionizing education.By addressing ethical concerns, navigating technical challenges and embracing human-centric approaches, educators and technologists can collaboratively harness the power of generative AI to create innovative and inclusive learning environments.Additionally, the study highlights the transition from Education 4.0 to Education 5.0, emphasizing the importance of social-emotional learning and human connection alongside personalization in shaping the future of education.

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  • Students' varying levels of AI literacy, prior experience, and confidence impact how they engage with AI tools.

    “Students' varying levels of AI literacy, prior experience, and confidence further impact how they engage with these tools (Guettala et al., 2024 ).”

    From Socratic Mind: Impact of a Novel GenAI-Powered Formative Assessment Tool on Student Learning and Higher-Order Thinking (2026) · cites this paper as Guettala et al., 2024

    The Introduction discusses tailoring learning to students’ preferences and proficiencies, and the ‘Enhanced student engagement’ section links personalized content to engagement. Neither addresses whether students’ AI literacy, prior experience, or confidence affects how they engage with AI tools; searches for those terms found no supporting passage in our copy. (LLM, conf=0.74)

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Metadata

Authors
Guettala, M., Bourekkache, S., Kazar, O., & Harous, S.
Affiliations
  • University of Biskra (DZ)
  • University of Sharjah (AE)
Corresponding author
Guettala, Manel
ORCID
Venue
Acta Informatica Pragensia
Publisher
Prague University of Economics and Business
Published
2024-08-22
Volume
13
Issue
3
Pages
460-489
ISSN
1805-4951 (ISSN-L)
DOI
10.18267/j.aip.235
OpenAlex
W4401727214
Cited by
218
References
20
Citations by year
2026: 126 · 2025: 89 · 2024: 3
FWCI
88.22
Type
journal article
Language
en
Open access
Licence
Locations
  • Acta Informatica Pragensia (publishedVersion, cc-by)
  • RePEc: Research Papers in Economics (submittedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Topics
  • Social Sciences › Education › Artificial Intelligence in Education
  • Physical Sciences › Computer Science › Artificial Intelligence › Intelligent Tutoring Systems and Adaptive Learning
  • Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
Keywords
generative AI, adaptive learning, personalized learning, artificial intelligence in education, student engagement, test scores, skill development, ethical challenges of AI, educational challenges, human-centered AI, Education 5.0, Education 4.0, social-emotional learning, inclusive learning environment

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