ARTIFICIAL INTELLIGENCE ELEMENTS AND LEARNING MOTIVATION IN PRIMARY SCHOOL STUDENTS

Zenodo (CERN European Organization for Nuclear Research) 2026 Open access

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Authors: KYSTAUBAYEVA BOTAGOZ, KAZITAY ALTYNAY, AKHMETZHANOVA AINUR, TANIRBERGEN AMINA
DOI: 10.5281/zenodo.18770078
Cited by: 0

Abstract

This study examines how artificial intelligence elements influence primary school students’ learning motivation. Findings show that AI-driven adaptive platforms enhance engagement, intrinsic motivation, autonomy, and self-efficacy through personalized feedback and gamified challenges. Effective implementation requires teacher training, while future research should explore long-term motivational and academic outcomes across diverse contexts.

Fields of Study & Subjects

Artificial Intelligence in Education Intelligent Tutoring Systems and Adaptive Learning Educational Games and Gamification

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
15 February 2026
Language
EN