Quantifying the Influence of Artificial Intelligence Dependency on Computer Engineering Students in Bulacan State University

Authors

Lech Walesa M. Navarra

College of Engineering/Bulacan State University, Philippines (Philippines)

Hanna Larissa Marcelo

College of Engineering/Bulacan State University, Philippines (Philippines)

John Rosewell Borromeo

College of Engineering/Bulacan State University, Philippines (Philippines)

Article Information

DOI: 10.47772/IJRISS.2025.910000541

Subject Category: Education

Volume/Issue: 9/10 | Page No: 6626-6632

Publication Timeline

Submitted: 2025-10-20

Accepted: 2025-10-30

Published: 2025-11-18

Abstract

Artificial intelligence (AI) is rapidly transforming education, with tools like ChatGPT offering instant solutions and explanations. This study aims to investigate the growing reliance on AI among computer engineering students at Bulacan State University exploring the extent of this dependency and its factors influencing their academic performance. The study of of Liu and Wang showed that the application and merging of AI to engineering education is essential for managing innovation, strategic thinking and multidisciplinary skills. The study also proved that the emergence of AI boosts the increase of publication of papers related to engineering education then stated that AI is already starting to mold the change the way engineering education is going to be and its significant impact to colleges and universities. Utilizing a quantitative approach with a descriptive method, the research surveyed thirty (30) 3rd Year computer engineering students during the Second Semester of Academic Year 2023 2024. The findings reveal a high level of AI dependency with a mean score of 3.5 on a 5-point Likert scale. The research concludes that a significant portion of Bulacan State University’s computer engineering students heavily rely on AI for academic support. Time constraints, perceived academic benefits, accessibility, and the rising trend of AI use were identified as key influencing factors. Furthermore, a correlation between students' AI reliance and their academic achievement was observed. Based on these findings, the study recommends strategies to address this issue, including improved time management support for students, integration of AI education into the curriculum, and development of new learning materials that equip students to navigate the challenges and opportunities presented by AI in the field of computer engineering. By proactively preparing its students for the evolving technological landscape, Bulacan State University can ensure its computer engineering program fosters responsible development and utilization of AI for the benefit of society.

Keywords

Artificial Intelligence, ChatGPT, Dependency, educational context

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