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ORIGINAL RESEARCH article

Front. Educ.

Sec. Teacher Education

Understanding How Gamified Programming Environments Shape Pre-service Teachers' Engagement and Instructional Readiness in Kazakhstan

Provisionally accepted
  • 1L.N. Gumilyov Eurasian National University, Nur-sultan, Kazakhstan
  • 2Zhengir Khan West-Kazakhstan Agrarian Technical University, Uralsk, Kazakhstan

The final, formatted version of the article will be published soon.

Introduction: Gamification is increasingly used in education to promote engagement, especially in STEM and digital literacy domains. However, limited research has explored how gamified programming platforms like Code.org support teacher education, particularly in Kazakhstan. Methods: This study applied a mixed-methods approach, guided by the Technology Acceptance Model (TAM) and Self-Determination Theory (SDT), to examine pre-service teachers' perceptions of Code.org during a four-week intervention at Bolashak University. Forty participants engaged in structured training and completed surveys and focus groups. Results: Findings show high overall acceptance of Code.org among pre-service teachers, with strong ratings for usability and instructional relevance. While gamified features increased engagement initially, some participants noted declining motivation over time. Key challenges included infrastructure limitations and student readiness. Discussion: The study highlights the importance of pedagogical alignment and sustained support for integrating gamified tools in teacher training. Motivational gains can be maintained by incorporating meaningful learning tasks and adaptive scaffolding. Conclusion: Code.org demonstrates strong potential for teacher preparation in computational thinking and digital literacy, but its successful integration depends on contextual adaptation, professional development, and institutional support.

Keywords: Code.org, Computational thinking, Digital Literacy, Educational Technology, Gamification, Kazakhstan, teacher training

Received: 17 Dec 2025; Accepted: 12 Jan 2026.

Copyright: © 2026 Davletova, Myrzanova and Sabyrgalieva. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Aliya Myrzanova

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.