ChatGPT Perception and Usage in Object-Oriented Programming of Students from a Philippine Private University

This study investigates the ChatGPT perception and usage of the 271 Bachelor of Science in Information Technology students at Cebu Institute of Technology University towards their Object-Oriented Programming learning journey using the Java programming language. The students’ responses were gathered through an online survey using a 5-point Likert scale. The students were purposively sampled. All the students have already completed the OOP course. The quantitative and qualitative data were analyzed using Google Colaboratory. All the students were able to use ChatGPT at some point in their OOP course. 91.14% of the students responded that they tried to solve any programming problems in OOP on their own before attempting to use ChatGPT. While most of the students agreed with 60.89% about the negative impact of using ChatGPT, 76.01% of the students disagree and strongly disagree that ChatGPT can replace teachers in programming. The ChatGPT usage and perception of the students are both not significant towards OOP performance. The result of this study provides an insight into how students used ChatGPT and how it affects their studies, particularly in the application of their programming skills in OOP. This study also contributes to the expanding body of knowledge that gauges the impact and promotes responsible use of ChatGPT for better computer programming education in this age of technology where Artificial Intelligence continuously evolves.

Authors

Institutions

Publication Details

Published
2025-05-23
DOI
https://doi.org/10.1109/icett66247.2025.11137330
Citations
1
Primary Topic
Online Learning and Analytics
Type
article
Field-Weighted Citation Impact
1.69
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

ChatGPT Perception and Usage in Object-Oriented Programming of Students from a Philippine Private University

Kenn Migan Vincent Gumonan, Jensar Joey Z. Sayson, Judy U. Bernus, Von Alphonse L. Godinez
1 citations
Online Learning and Analytics
1.69
article

ChatGPT Perception and Usage in Object-Oriented Programming of Students from a Philippine Private University

Kenn Migan Vincent Gumonan, Jensar Joey Z. Sayson, Judy U. Bernus, Von Alphonse L. Godinez
article en
1 citations

Abstract

This study investigates the ChatGPT perception and usage of the 271 Bachelor of Science in Information Technology students at Cebu Institute of Technology University towards their Object-Oriented Programming learning journey using the Java programming language. The students’ responses were gathered through an online survey using a 5-point Likert scale. The students were purposively sampled. All the students have already completed the OOP course. The quantitative and qualitative data were analyzed using Google Colaboratory. All the students were able to use ChatGPT at some point in their OOP course. 91.14% of the students responded that they tried to solve any programming problems in OOP on their own before attempting to use ChatGPT. While most of the students agreed with 60.89% about the negative impact of using ChatGPT, 76.01% of the students disagree and strongly disagree that ChatGPT can replace teachers in programming. The ChatGPT usage and perception of the students are both not significant towards OOP performance. The result of this study provides an insight into how students used ChatGPT and how it affects their studies, particularly in the application of their programming skills in OOP. This study also contributes to the expanding body of knowledge that gauges the impact and promotes responsible use of ChatGPT for better computer programming education in this age of technology where Artificial Intelligence continuously evolves.

Cebu Institute of Technology University (PH)
Openalex Percentile: Top 11%
Online Learning and Analytics
1.69
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.