Personalized Learning in the Croatian National Education System: A Study of AI Implementation in the e-Class Register

The e-Schools Programme, initiated by the Croatian Academic and Research Network- CARNET, has significantly advanced the digitalization of Croatia’s primary and secondary education system. Addressing challenges such as uneven digital integration due to infrastructure and training gaps, the Programme...

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Bibliographic Details
Published in:SN computer science 2024-12, Vol.5 (8), p.1145
Main Authors: Sabic, Ivan, Puljiz, Hrvoje, Smoljo, Ana
Format: Article
Language:English
Subjects:
Adaptive learning
AI Applications: Transforming Educational Practices and Professional Paradigms
Algorithms
Artificial intelligence
Brain research
Communication
Computer Imaging
Computer platforms
Computer Science
Computer Systems Organization and Communication Networks
Customization
Data Structures and Information Theory
Digital technology
Digitization
Education
Generalized linear models
Information Systems and Communication Service
Infrastructure
Large language models
Learning
Machine learning
Original Research
Pattern Recognition and Graphics
Personalized learning
Registers
Schools
Software Engineering/Programming and Operating Systems
State budgets
Students
Teachers
Teaching assistants
User needs
Vision
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Summary:The e-Schools Programme, initiated by the Croatian Academic and Research Network- CARNET, has significantly advanced the digitalization of Croatia’s primary and secondary education system. Addressing challenges such as uneven digital integration due to infrastructure and training gaps, the Programme provided essential ICT resources and training, notably increasing the use of the e-Class Register for improving school transparency and organization. This paper explores the integration of AI-driven personalized learning within the e-Class Register, focusing on how tailored educational plans can meet individual student needs, foster engagement, and encourage goal setting. Additionally, the paper examines the potential of virtual teaching assistants to support students and educators by providing personalized recommendations and progress assessments. The findings indicate that AI-powered tools can transform traditional educational processes by enhancing student motivation, streamlining administrative tasks, and offering dynamic learning experiences. This research underscores the potential for broader adoption of AI technologies in education and highlights future opportunities for expanding personalized learning in digital classrooms.
ISSN:2662-995X
2661-8907
DOI:10.1007/s42979-024-03515-8