Exemplar-Based Learning Supported by Generative Artificial Intelligence: A Conceptual Model for Meaningful Learning in Education

11th International Scientific Conference Technics, Informatics and Education – TIE 2026, (pp. 58-64)

 

AUTOR(I) / AUTHOR(S): Snežana Mijailović

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DOI: https://doi.org/10.46793/TIE26.058M

SAŽETAK /ABSTRACT:

Generative artificial intelligence in education enables personalized learning and immediate feedback, but most existing systems focus on efficiency rather than deep conceptual understanding. Analysis of contemporary research reveals a gap between AI’s technical capabilities and its pedagogical implementation in classroom practice. This paper proposes a conceptual framework for an integrated system designed to support meaningful learning through four interconnected modules: exemplar generation, AI-supported dialogic scaffolding, learning assessment, and teacher-oriented feedback. The model positions AI as a supportive layer that enhances instructional design while maintaining the teacher’s central role. As a purely conceptual contribution, this study provides a foundation for future research within an Educational Design Research (EDR) framework. Future development will focus on prototype implementation and pilot testing in authentic school environments to evaluate the system’s impact on student knowledge transfer, usability, and pedagogical alignment.

KLJUČNE REČI / KEYWORDS: 

Generative AI, Exemplar-based Learning, Meaningful Learning, K-12 education, Pedagogical Framework

 PROJEKAT / ACKNOWLEDGEMENT:

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