Publication Type

Conference Proceeding Article

Version

acceptedVersion

Publication Date

12-2023

Abstract

As computing projects increasingly become a core component of undergraduate courses, effective mentorship is crucial for supporting students' learning and development. Our study examines the adoption of ChatGPT as a mentor for undergraduate computing projects. It explores the impact of ChatGPT mentorship, specifically, skills development, and mentor responsiveness, i.e., ChatGPT's responsiveness to students' needs and requests. We utilize PLS-SEM to investigate the interrelationships between different factors and develop a model that captures their contribution to the effectiveness of ChatGPT as a mentor. The findings suggest that mentor responsiveness and technical/design support are key factors for the adoption of AI tools like ChatGPT. The study provides practical implications for educators seeking to incorporate AI as a mentor to support students doing computing projects and contributes to the broader understanding of the use of AI in education.

Keywords

Artificial Intelligence, ChatGPT, computing projects, mentorship, PLS-SEM analysis

Discipline

Artificial Intelligence and Robotics | Databases and Information Systems | Educational Assessment, Evaluation, and Research | Higher Education

Research Areas

Data Science and Engineering

Publication

Proceedings of the 31st International Conference on Computers in Education Conference, Matsue, Shimane, Japan, 2023 December 4-8

First Page

40

Last Page

45

ISBN

9786269689019

Publisher

Asia-Pacific Society for Computers in Education

City or Country

Japan

Copyright Owner and License

Authors

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