ChatGPT and Its Educational Impact: Insights from a Software Development Competition
Project Overview
The document examines the role of ChatGPT, a generative AI, in educational contexts, particularly within a software development competition involving 36 students. It highlights how students leveraged ChatGPT throughout different phases of their projects, leading to enhanced performance and learning outcomes. The findings demonstrate that a significant reliance on ChatGPT correlates with higher project completion rates and improved academic scores, underscoring the technology's transformative influence in project-based learning environments. Additionally, the study calls for more extensive research to understand the long-term effects of AI integration in education, suggesting that while the initial results are promising, further exploration is necessary to fully grasp the implications of generative AI on learning processes and educational achievements.
Key Applications
ChatGPT as a generative AI tool for software development projects
Context: A software development competition for 36 students at Dongyang Mirae University
Implementation: Students utilized ChatGPT at various stages of their project development, including ideation, documentation, coding, debugging, and quality assurance.
Outcomes: Higher project completion rates, better scores, and increased student satisfaction. 100% of top performers used ChatGPT effectively.
Challenges: Lower usage rates in specialized tasks such as server setup, security, sound, and quality assurance.
Implementation Barriers
Technical Barrier
Students had varying levels of familiarity with using ChatGPT and large language models, which affected their integration of the tool into their projects. This variation in familiarity can lead to inconsistent usage and effectiveness in their projects.
Proposed Solutions: Providing education and training on generative AI tools to enhance student familiarity and effectiveness.
Engagement Barrier
Some students expressed lower levels of interest in software development, which could hinder their motivation to utilize AI tools effectively. This lack of interest might prevent them from fully engaging with the potential of AI in their work.
Proposed Solutions: Encouraging interest in software development through targeted programs and projects that highlight the relevance of AI.
Project Team
Sunhee Hwang
Researcher
Yudoo Kim
Researcher
Heejin Lee
Researcher
Contact Information
For information about the paper, please contact the authors.
Authors: Sunhee Hwang, Yudoo Kim, Heejin Lee
Source Publication: View Original PaperLink opens in a new window
Project Contact: Dr. Jianhua Yang
LLM Model Version: gpt-4o-mini-2024-07-18
Analysis Provider: Openai