AI-Generated Errors as a Learning Tool: Improving Programming Education Through Error Correction

Spartak Sakibayev*, Zhetysu University named after Ilyas Zhansugurov
Bela Sakibayeva, Zhetysu University named after Ilyas Zhansugurov
Darkhan Toybazarov, Zhetysu University named after Ilyas Zhansugurov

https://doi.org/10.9743/JEO.2026.23.1.15

Abstract

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.

Keywords: AI-generated error, AI chatbot, programming instruction, coding club, debugging, error detection and correction

*Corresponding Author: spartakrz2000@gmail.com