Utilizing ChatGPT in a Data Structures and Algorithms Course: A Teaching Assistant's Perspective
Project Overview
The document explores the integration of generative AI, particularly ChatGPT, in educational settings, focusing on its application in data structures and algorithms (DSA) courses. By leveraging AI as a teaching assistant, the educational experience is enhanced through personalized support, which has been shown to significantly boost student engagement and performance—students using AI assistance scored an average of 16.50 points higher. This hybrid model effectively combines the expertise of human TAs with the capabilities of AI, providing reliable and innovative instructional support. However, the implementation of generative AI also raises concerns regarding potential over-reliance on technology and the integrity of academic work. Overall, the findings indicate that while generative AI can substantially improve learning outcomes, careful consideration is necessary to mitigate associated challenges.
Key Applications
ChatGPT as a supplementary tool for teaching assistants
Context: Data Structures and Algorithms course for undergraduate students
Implementation: TAs used ChatGPT guided by structured prompts to assist in answering student questions and creating exercises
Outcomes: Students in the ChatGPT-assisted group scored 16.50 points higher on average and excelled in advanced topics, demonstrating improved engagement and understanding.
Challenges: Limitations of ChatGPT included issues with generating creative problems, visual representation, and complex algorithmic reasoning, necessitating TA verification.
Implementation Barriers
Technical Limitations
ChatGPT struggled with generating creative exercises and providing accurate visual representations for complex algorithmic problems.
Proposed Solutions: Implementing human oversight to verify AI-generated answers and refining the prompts used to guide ChatGPT.
Academic Integrity
Potential for academic dishonesty and over-reliance on AI-generated content.
Proposed Solutions: Encouraging active engagement and critical thinking through structured prompts and TA verification.
Project Team
Pooriya Jamie
Researcher
Reyhaneh Hajihashemi
Researcher
Sharareh Alipour
Researcher
Contact Information
For information about the paper, please contact the authors.
Authors: Pooriya Jamie, Reyhaneh Hajihashemi, Sharareh Alipour
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