AI-Enhanced Digital STEM Language Learning in Technical Education
Jantassova D. Tentekbayeva Z. Churchill D. Aitbayeva S.
February 2026Multidisciplinary Digital Publishing Institute (MDPI)
Education Sciences
2026#16Issue 2
This article introduces a framework for scientific and professional language training tailored for STEM (Science, Technology, Engineering and Mathematics) specialists, emphasising the integration of digital technologies and artificial intelligence (AI) in language education. The framework aims to develop students’ research communication skills and digital competencies, which are essential for effective participation in both national and international scientific discourse. The article discusses contemporary trends in STEM education, emphasising the importance of interdisciplinary approaches, project-based learning, and the utilisation of digital tools to boost language skills and scientific literacy. The article outlines the development and deployment of a digital platform aimed at supporting personalised and adaptive learning experiences, integrating various educational technologies and approaches. Empirical research conducted through a pedagogical experiment demonstrates the effectiveness of the framework, showing significant improvements in students’ academic and linguistic competencies across multiple modules. The findings highlight the importance of combining language training with STEM education to equip future engineers for the challenges of a globalised and digitalised professional world. This work reports on the “Enhancing Scientific and Professional Language Learning for Engineering Students in Kazakhstan through Digital Technologies” project conducted at Saginov Technical University (STU) in Kazakhstan and funded by the Science Committee of the Ministry of Science and Higher Education of the Republic of Kazakhstan (Grant No. AP19678460). The research contributes to the ongoing discussion on improving language teaching in STEM fields, offering a framework that aligns with current educational demands and technological progress.
AI integration , digital platform , framework , pedagogical experiment , STEM discourse , STEM language
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Foreign Languages Department, Abylkas Saginov Karaganda Technical University, Karaganda, 100027, Kazakhstan
Faculty of Education, University of Hong Kong, 999077, Hong Kong
Foreign Languages Department
Faculty of Education
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