INTEGRATING AI INTO FORMATIVE ASSESSMENT IN ENGLISH LANGUAGE CLASSROOMS OF KAZAKHSTAN’S SCHOOLS

Authors

DOI:

https://doi.org/10.53355/ZHU.2026.119.2.005

Keywords:

formative assessment, English language teaching, artificial intelligence, feedback, self-assessment, peer assessment, Kazakhstan

Abstract

This article examines the current state of formative assessment (FA) in English language teaching across Kazakhstan’s schools and explores how artificial intelligence (AI) can support and enhance this process. Formative assessment is crucial for improving learning outcomes, yet its implementation in Kazakhstan’s schools faces various challenges. The research presents findings from a study comparing how different age groups of teachers implement FA, the extent to which they adhere to FA principles, and the challenges they encounter. A special focus is given to a novel approach integrating artificial intelligence tools such as ChatGPT, Grammarly, Quillion, Turnitin Feedback Studio, Peergrade, Curipod, etc. to enhance formative assessment. For each FA component (immediate instructional adjustment, learning goal setting, feedback provision, self-assessment, peer-assessment, and strategic questioning), the role of AI is described with practical examples. The results show that leveraging AI can reduce teacher workload, provide students with rapid and personalized feedback, and increase their engagement in learning. The novelty of this work lies in blending traditional FA methods with AI technologies, which holds practical significance for schools in Kazakhstan. The study also outlines challenges and ethical considerations associated with integrating AI into classroom practice. Overall, the research offers recommendations for developing teachers’ digital skills and creating supportive conditions for effective AI-assisted formative assessment in Kazakhstan’s educational context.

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Author Biographies

Zhyltyrova Zhanar, Kazakh Ablai khan University of International Relations and World Languages, Republic of Kazakhstan, Almaty

PhD, Associate Professor, Kazakh Ablai khan University of International Relations and World Languages (Kazakhstan, Almaty, e-mail: zhanarzht1@gmail.com, ORCID: https://orcid.org/0000-0003-2963-2610).

Yersultanova Gauhar, Abai Kazakh National Pedagogical University, Republic of Kazakhstan, Almaty

PhD, Postdoctoral Researcher, Abai Kazakh National Pedagogical University (Kazakhstan, Almaty, e-mail: gyersultanova@gmail.com, ORCID: https://orcid.org/0000-0001-8913-6067).

Orazakynkyzy Farida, Al-Farabi Kazakh National University, Republic of Kazakhstan, Almaty

PhD, Associate Professor, Al-Farabi Kazakh National University (Kazakhstan, Almaty, e-mail: f.orazakynkyzy@gmail.com, ORCID: https://orcid.org/0000-0002-3886-837X).

He Ling, Shaanxi University of Science and Technology, People’s Republic of China, Xi'an

PhD, Professor, Shaanxi University of Science and Technology (China, Xi'an, e-mail: 739908408@qq.com,  ORCID: https://orcid.org/0009-0001-2622-2846).

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Abstract views: 18

Published

30.06.2026