10.25673/122850">


Proceedings of International Conference on Applied Innovation in IT
2025/12/22, Volume 13, Issue 5, pp.161-173

The Influence of AI Code Assistants on Programming Learning: A Descriptive Study of Student Dependence


Janna Mae G. Boitizon, Babylyn P. Barte, Joseph P. Layco, Althea Nicole J. Zoleta and Irene L. Balmes


Abstract: ChatGPT, GitHub Copilot, DeepSeek, and Claude AI are increasingly used in programming instruction, yet relatively few empirical studies have examined their impact on student learning behaviour in the Philippine higher education context. This study contributes to the existing body of knowledge by investigating third-year BS Information Technology students’ use of AI-based code assistants, with particular emphasis on their reasons for adoption, perceived benefits, and emerging concerns. Using a quantitative descriptive research approach with an online survey of 14 students, the findings highlight a novel insight: students tend to act either as strategic users (selective usage) or power users (frequent usage), revealing distinct patterns of integration into learning practices. While AI tools were widely commended for improving conceptual comprehension, problem-solving speed, and debugging accuracy, notable concerns regarding over-reliance, reduced independent practice, and potential skill degradation also emerged. These results emphasize the dual role of AI as both a significant enhancer of learning outcomes and a potential risk to long-term skill development, thereby underscoring the critical need for balanced, pedagogically grounded educational strategies that effectively integrate AI while reinforcing essential programming competencies.

Keywords: Artificial Intelligence (AI), Programming Education, AI Code Assistants, Student Learning.

DOI: 10.25673/122850

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