Innovating Teaching Methods in Serbian Primary Schools: A Review of Ai-based Technologies in Technology Education and Computer Science Education


DOI: https://doi.org/10.15308/Sinteza-2026-74-80
Authors:
Veljko Aleksić

Download full paper

Keywords:
Teaching, Primary Education, Artificial Intelligence, Technology education, Computer Science.


Abstract:
The paper presents a theoretical review of various innovative AI-based teaching methods for two elementary school subjects – Technology education, and Computer science. Based on the analysis of valid learning theories, seven AI-managed educational modalities were proposed: transferable digital competences, virtual laboratories, virtual and augmented reality environments, serious games, intelligent programming code feedback systems, pair programming, and AI-generated coding challenges. Each method is observed through the existing learning theory lens. The review demonstrated that AImediated personalized learning, adaptive feedback, and learning analytics can be operationalized via the three-phase cyclic model of self-regulated learning across all examined modalities, by which students gain both domain-specific and transversal competences. Future research directions are proposed, encompassing the development of psychometrically validated assessment instruments and the further investigation of ethical dimensions of AI deployment in Serbian primary education.

CITATION:

IEEE format

V. Aleksić, “Innovating Teaching Methods in Serbian Primary Schools: A Review of Ai-based Technologies in Technology Education and Computer Science Education,” in Sinteza 2025 - International Scientific Conference on Information Technology, Computer Science, and Data Science, Belgrade, Singidunum University, Serbia, 2026, pp. 74-80. doi:10.15308/Sinteza-2026-74-80

APA format

Aleksić, V. (2026). Innovating Teaching Methods in Serbian Primary Schools: A Review of Ai-based Technologies in Technology Education and Computer Science Education. Paper presented at Sinteza 2025 - International Scientific Conference on Information Technology, Computer Science, and Data Science. doi:10.15308/Sinteza-2026-74-80

BibTeX format
Download

RefWorks Tagged format
Download