Related papers: Utilizing ChatGPT in a Data Structures and Algorithms Course: A Teaching Assistant's Perspective

Utilizing ChatGPT in a Data Structures and Algorithms Course: A Teaching Assistant's Perspective

URL: http://arxiv.org/abs/2410.08899v1
Date: Fri, 11 Oct 2024 15:18:48 GMT
Title: Utilizing ChatGPT in a Data Structures and Algorithms Course: A Teaching Assistant's Perspective
Authors: Pooriya Jamie, Reyhaneh Hajihashemi, Sharareh Alipour,
Abstract summary: This research delves into the use of ChatGPT in a data structures and algorithms (DSA) course, particularly when combined with TA supervision. The findings demonstrate that incorporating ChatGPT with structured prompts and active TA guidance enhances students' understanding of intricate algorithmic concepts, boosts engagement, and academic performance. The study underscores the importance of active TA involvement in reducing students' reliance on AI-generated content and amplifying the overall educational impact.
Score: 1.0650780147044159
License: http://creativecommons.org/licenses/by/4.0/
Abstract: Integrating large language models (LLMs) like ChatGPT is revolutionizing the field of computer science education. These models offer new possibilities for enriching student learning and supporting teaching assistants (TAs) in providing prompt feedback and supplementary learning resources. This research delves into the use of ChatGPT in a data structures and algorithms (DSA) course, particularly when combined with TA supervision. The findings demonstrate that incorporating ChatGPT with structured prompts and active TA guidance enhances students' understanding of intricate algorithmic concepts, boosts engagement, and elevates academic performance. However, challenges exist in addressing academic integrity and the limitations of LLMs in tackling complex problems. The study underscores the importance of active TA involvement in reducing students' reliance on AI-generated content and amplifying the overall educational impact. The results suggest that while LLMs can be advantageous for education, their successful integration demands continuous oversight and a thoughtful balance between AI and human guidance.

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