THE ROLE OF DIGITAL TECHNOLOGIES IN SUPPORTING GIFTED STUDENTS IN TEACHING MATHEMATICS: DEVELOPING PERSONALIZED LEARNING PATHWAYS
DOI:
https://doi.org/10.63034/esr-670Keywords:
gifted students, personalized learning, digital technology, artificial intelligence, gamification, geogebra, mathematics olympiads, advanced learningAbstract
This article examines the role of digital technologies in identifying, supporting, and unlocking the potential of gifted students in mathematics education. It analyzes the effectiveness of creating personalized learning pathways, deepening the understanding of complex mathematical concepts, and developing research skills for gifted students through digital tools such as Artificial Intelligence, GeoGebra, and gamification. The study highlights the importance of these digital tools in enhancing gifted students’ Higher-Order Thinking Skills (HOTS) and Metacognitive Knowledge.
References
Siemens, G. (2005). Connectivism: A Learning Theory for the Digital Age.
Sweller, J. (1994). Cognitive load theory, learning difficulty, and instructional design.
Soboleva, E. V., et al. (2020). Didactic Potential of Using Mobile Technologies in the Development of Mathematical Thinking. EURASIA Journal of Mathematics, Science and Technology Education, 16(2), em1831.
Albano, G., et al. (2020). Technology to enable new paradigms of teaching/learning in mathematics: The digital interactive storytelling case. Journal of E-Learning and Knowledge Society, 16(1), 65–71.
Chytrý, V., et al. (2019). How Teacher’s Progressiveness in Using Digital Technologies Influences Levels of Pupils’ Metacognitive Knowledge in Mathematics. Mathematics, 7(12), 1245.
Saparbayeva, E., et al. (2024). Leveraging digital tools to advance mathematics competencies among construction students. Cogent Education, 11(1), 2319436.
Kristriani, T., & Usodo, B. (2022). Exploration of the Use of Quizizz Gamification Application: Teacher Perspective. International Journal of Elementary Education, 6(2), 205–21.
Downloads
Published
How to Cite
Issue
Section
Categories
License
Copyright (c) 2026 Baytelieva Aliya Kuanyshbaevna, Baltabaeva Gauhar Myrzagaliqyzy
This work is licensed under a Creative Commons Attribution 4.0 International License.
