AI-GENERATED ERRORS AS A LEARNING TOOL: IMPROVING PROGRAMMING EDUCATION THROUGH ERROR CORRECTION
Sakibayev S. Sakibayeva B. Toybazarov D.
January 2026Grand Canyon University
Journal of Educators Online
2026#23Issue 1
This study examines the utilization of AI-generated errors in programming education, with a focus on students’ ability to identify and correct errors intentionally introduced into AI-generated code. The primary objective is to evaluate the effectiveness of this approach in enhancing students’ programming competence and academic performance. Participants engaged with AI-generated code containing predefined errors, and their error detection and correction skills were assessed. The findings indicate that this method supports the development of programming proficiency and contributes to improved academic outcomes. This study adds to the existing literature on AI in education, providing a basis for future research on integrating AI tools into programming instruction.
AI chatbot , AI-generated error , coding club , debugging , error detection and correction , programming instruction
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Zhetysu University named after Ilyas Zhansugurov, Kazakhstan
Zhetysu University, Kazakhstan
Zhetysu University named after Ilyas Zhansugurov
Zhetysu University
10 лет помогаем публиковать статьи Международный издатель
Книга Публикация научной статьи Волощук 2026 Book Publication of a scientific article 2026