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    ItemOpen Access
    FORMATIVE ASSESSMENT IN KAZAKHSTAN’S ENGLISH LANGUAGE CLASSROOMS: A NARRATIVE REVIEW OF CURRENT PRACTICES AND THE ROLE OF AI TOOLS
    (SDU University, 2025) Aidos Myrzabek; Gaukhar Yersultanova; Medet Jandildinov
    Formative assessment (FA) has emerged as a critical component of effective teaching and learning, providing ongoing feedback that guides both teachers and students in improving educational outcomes. This narrative literature review examines the implementation of formative assessment in Kazakhstan’s English language classrooms and explores how artificial intelligence (AI) tools are enhancing and could further enhance these practices. The review synthesizes international and local research on FA – defining its key concepts, components, benefits, and challenges – within the context of Kazakhstan’s recent education reforms that mandate a criteria-based (formative) assessment system. It also discusses current applications of AI (such as adaptive learning platforms, natural language processing for feedback, and AI-driven peer/self-assessment tools) in education, and considers potential future uses of AI to support teachers and learners in formative assessment. The findings indicate that while formative assessment is valued for improving student engagement and achievement, Kazakhstani teachers face challenges in its implementation, including large classes and shifts in ingrained grading practices. AI technologies offer promising solutions to personalize feedback, automate routine assessment tasks, and inform data-driven instruction, albeit with the need for teacher training and careful integration. The review concludes with implications for educators and policymakers in Kazakhstan, emphasizing that blending proven formative assessment strategies with AI support can foster more responsive and effective English language teaching.
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    EFL TEACHERS’ ATTITUDES TOWARDS THE USE OF AI GENERATED LESSON PLANS IN KAZAKHSTAN
    (SDU University, 2025) Alina Fazilova; Aizhan Kayip
    Prolific advancements in the sphere of Artificial Intelligence in Education and Artificial Intelligence, in general, beg the questions of how these technologies could be implemented in the English as a Foreign Language sphere and what English as a Foreign Language teachers’ attitudes towards Artificial Intelligence-generated lesson plans are. In this research paper, the attitudes of Kazakhstani secondary school English as a Foreign Language teachers towards the use of Artificial Intelligence-generated lesson plans have been explored. Through analyzing responses from an online survey, the study identifies several prominent themes that reflect the overall attitudes of teachers towards Artificial Intelligence-generated lesson planning. The study employed qualitative research design and involved 27 participants. Their attitudes were collected via an open-ended questionnaire and analyzed with thematic analysis. The results indicate that AI-generated lesson plans can have a positive impact on student learning outcomes, with the guidance and adjustments made by teachers. However, concerns about automation bias and the lack of personalization in the plans are also identified. The benefits of lesson planning generated by Artificial Intelligence include efficiency, customization, and innovative ideas, while drawbacks include inflexibility in unanticipated situations and a lack of specificity in students' needs. The study concludes that teachers express overall positive attitudes towards the use of Artificial Intelligence-generated lesson plans. According to the results, English as a Foreign Language teachers believe that they offer a range of benefits for teachers and can potentially enhance student learning outcomes when used in conjunction with teacher modifications and adjustments.
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    CHALLENGES FACED BY HIGH SCHOOL STUDENTS IN PREPARING FOR THE ENGLISH EXAM AT UNT IN KAZAKHSTAN
    (SDU University, 2025) Aigerim Anuarbekova; Mehmet Ali Yaylacı
    This study examines some primary challenges faced by 11th-grade students at Dostyq School in Kazakhstan as they get ready for the English section of the Unified National Testing (UNT). From semi-structured interviews of 15 students, a few themes that recurred emerged. Participants reported many difficulties with vocabulary acquisition, reading comprehension, and grammar, which they identified as definite barriers to achieving high scores. Exam-related stress was also of important concern, with many students expressing feelings of anxiety and pressure leading up to the test. Some students considered preparing for the IELTS exam, with the possibility of converting IELTS scores into UNT points, while feeling unprepared in terms of time and language skills. Many students relied upon external support, such as several private tutors, multiple group courses, or diverse online platforms, including Juz40, EDUCON, KURSANT, and YouTube. However, many people noted that these resources frequently lacked some personalized guidance that they needed. They required this guidance to address their particular weaknesses. Students highlighted the emotional strain from parental expectations, in addition to academic challenges. These findings suggest a need for much more accessible as well as tailored preparatory materials, in addition to stronger emotional together with motivational support systems that better equip students for the demands of the English UNT.
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    DIFFERENTIATION OF HOMEWORK IN PHYSICS TO IMPROVE THE ACHIVEMENTS OF 9TH GRADE STUDENTS IN SECONDARY SCHOOLS IN KAZAKHSTAN
    (SDU University, 2025) Dadayev Aslan
    This study examines the impact of differentiated homework assignments on the academic achievements of 9th-grade students in physics within secondary schools in Kazakhstan. The research employs a mixed-methods approach, incorporating both qualitative and quantitative data collection techniques, including pre- and post-assessment tests. The study aims to determine whether tailored homework assignments, based on students' proficiency levels and learning styles, enhance their understanding and performance in physics. Findings indicate that differentiation in homework positively affects student engagement, comprehension, and overall academic success. The research highlights the necessity of personalized learning approaches in physics education. This study contributes to the broader discourse on effective teaching methodologies and underscores the role of homework customization in fostering student achievement.