THE ROLE OF ARTIFICIAL INTELLIGENCE TECHNOLOGIES IN ENHANCING THE LEARNING MOTIVATION OF PRIMARY SCHOOL STUDENTS
DOI:
https://doi.org/10.37547/Keywords:
artificial intelligence, learning motivation, primary education, adaptive learning, digital technologies, student engagement, educational quality, individualized instruction, innovative education, pedagogical technologies.Abstract
This article examines the role and significance of artificial intelligence technologies in enhancing the learning motivation of primary school students. The psychological and pedagogical foundations of learning motivation are discussed, and the potential of AI-based educational tools to increase students’ interest, engagement, and positive attitudes toward learning is analyzed.
Downloads
References
1. Deci, E. L., Ryan, R. M. Intrinsic Motivation and Self-Determination in Human Behavior. — New York: Plenum Press, 1985.
2. Vygotsky, L. S. Mind in Society: The Development of Higher Psychological Processes. — Cambridge, MA: Harvard University Press, 1978.
3. Piaget, J. The Psychology of Intelligence. — London: Routledge, 2001.
4. Woolfolk, A. Educational Psychology. — Boston: Pearson, 2019.
5. Slavin, R. E. Educational Psychology: Theory and Practice. — Boston: Pearson, 2020.
6. UNESCO. Artificial Intelligence in Education: Challenges and Opportunities for Sustainable Development. — Paris: UNESCO Publishing, 2019.
7. Holmes, W., Bialik, M., & Fadel, C. Artificial Intelligence in Education: Promises and Implications for Teaching and Learning. — Boston: Center for Curriculum Redesign, 2019.
8. Luckin, R., Holmes, W., Griffiths, M., & Forcier, L. B. Intelligence Unleashed: An Argument for AI in Education. — London: Pearson, 2016.
9. Baker, T., Smith, L. Educ-AI-tion Rebooted? Exploring the Future of Artificial Intelligence in Schools. — London: Nesta, 2019.
Siemens, G. Connectivism: A Learning Theory for the Digital Age // International Journal of Instructional Technology and Distance Learning. — 2005.
Downloads
Published
Issue
Section
License

This work is licensed under a Creative Commons Attribution 4.0 International License.
Articles published in this journal are licensed under the Creative Commons Attribution 4.0 International License (CC-BY 4.0). Under this license:
- Share: Copy and redistribute the material in any medium or format
- Adapt: Remix, transform, and build upon the material for any purpose, including commercially
Attribution required: You must give appropriate credit, provide a link to the license, and indicate if changes were made.
License URL: https://creativecommons.org/licenses/by/4.0/
Authors retain copyright of their work while granting the journal first publication rights.