Codependency: Understanding Student Collaborative Practices with ChatGPT in Academic Writing
Document Types
Paper Presentation
School Name
De La Salle University, Manila
Track or Strand
Science, Technology, Engineering, and Mathematics (STEM)
Research Advisor (Last Name, First Name, Middle Initial)
Ong, Ethel, C.
Start Date
25-6-2025 10:30 AM
End Date
25-6-2025 12:00 PM
Zoom Link/ Room Assignment
https://zoom.us/j/92672219055?pwd=omqbcbIQdkFT4AEGXSTVit7ZX6kQBG.1 Meeting ID: 926 7221 9055 Passcode: 679533
Abstract/Executive Summary
The utilization of ChatGPT has transformed the educational landscape significantly by reshaping learning practices that include offering personalized academic assistance. While this has improved task efficiency, a concern regarding codependency has emerged, leading to students’ potential excessive reliance on the AI tool for academic tasks. This study investigates the nature and extent of codependent relationships between senior high school students (SHS) and ChatGPT. Specifically, it aims to determine the forms of collaboration present in student-AI interactions in academic writing tasks, analyze contributing factors to codependency, and explore how such interactions influence learning behaviors through participant surveys, log analysis, and a short, complementary interview. Results reveal a spectrum of student-AI collaboration, from task support to decision-making that highlights a wide range of healthy assistance to overreliance. These findings provide valuable insights for future designers of digital learning environments and educators when formulating learning activities that consider students and AI tools as collaborative partners.
Keywords
ChatGPT; AI in academic writing; human-AI collaboration; AI in education
Research Theme (for Paper Presentation and Poster Presentation submissions only)
21st Century Learning and Innovations (CLI)
Initial Consent for Publication
yes
Statement of Originality
yes
Codependency: Understanding Student Collaborative Practices with ChatGPT in Academic Writing
The utilization of ChatGPT has transformed the educational landscape significantly by reshaping learning practices that include offering personalized academic assistance. While this has improved task efficiency, a concern regarding codependency has emerged, leading to students’ potential excessive reliance on the AI tool for academic tasks. This study investigates the nature and extent of codependent relationships between senior high school students (SHS) and ChatGPT. Specifically, it aims to determine the forms of collaboration present in student-AI interactions in academic writing tasks, analyze contributing factors to codependency, and explore how such interactions influence learning behaviors through participant surveys, log analysis, and a short, complementary interview. Results reveal a spectrum of student-AI collaboration, from task support to decision-making that highlights a wide range of healthy assistance to overreliance. These findings provide valuable insights for future designers of digital learning environments and educators when formulating learning activities that consider students and AI tools as collaborative partners.
https://animorepository.dlsu.edu.ph/conf_shsrescon/2025/paper_ghi/6
