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Exploring the Use of ChatGPT as a Tool for Learning and Assessment in Undergraduate Computer Science Curriculum: Opportunities and Challenges

Project Overview

The document explores the integration of ChatGPT, a generative AI tool, in undergraduate Computer Science education, specifically focusing on fundamental programming courses. It presents research findings from a study that compared two groups of students: one utilizing ChatGPT and the other depending on traditional educational resources. The results revealed that students who used ChatGPT achieved higher scores, demonstrating the potential of AI to enhance learning outcomes. However, they also encountered difficulties with code inaccuracies and inconsistencies, underscoring the challenges associated with AI integration in education. The document emphasizes the importance of developing proper guidance and implementation strategies to address these challenges while ensuring academic integrity. Overall, it illustrates that while generative AI can significantly benefit educational experiences, careful consideration and support are essential for effective use.

Key Applications

ChatGPT as a learning and assessment tool

Context: Undergraduate Computer Science curriculum, specifically in programming courses

Implementation: Students were divided into control and experimental groups; the experimental group used ChatGPT to solve programming challenges.

Outcomes: Students using ChatGPT scored higher on programming challenges but faced inconsistencies in code quality.

Challenges: Inaccuracies in the generated code, potential for academic dishonesty, and reliance on AI for critical thinking.

Implementation Barriers

Technological

Inconsistencies and inaccuracies in code generated by ChatGPT can lead to poor performance in assessments.

Proposed Solutions: Educators should provide clear guidelines on the use of ChatGPT and promote hands-on learning to mitigate dependency.

Ethical

Increased potential for plagiarism and academic dishonesty due to easy access to AI-generated content.

Proposed Solutions: Implementing plagiarism detection tools and fostering an environment that emphasizes academic integrity.

Project Team

Basit Qureshi

Researcher

Contact Information

For information about the paper, please contact the authors.

Authors: Basit Qureshi

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

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