Understanding ChatGPT: Impact Analysis and Path Forward for Teaching Computer Science and Engineering

Author:

Banerjee Paramarshi,Srivastava Anurag,Adjeroh Donald,Reddy Y. Ramana,Karimian Nima

Abstract

<p>ChatGPT has become the most popular regenerative AI application, used for obtaining responses for queries in different domains. Some responses of ChatGPT reported in the internet are accurate, others are funny, and some are fictitious. This article focuses on the application of ChatGPT for academic instructional purposes in the field of Computer engineering and related majors. The capability of ChatGPT for instructional purposes is evaluated by providing responses to different questions pertaining to these engineering streams. This article explores different opportunities with use cases, ChatGPT can provide in augmenting the learning experience. It also provides scenarios of limitations and modifying the evaluation process to prevent the use of ChatGPT for unethical means of learning.</p>

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Generative AI in CS Education: Literature Review through a SWOT Lens;The 26th Western Canadian Conference on Computing Education;2024-05-02

2. Software Engineering Education Must Adapt and Evolve for an LLM Environment;Proceedings of the 55th ACM Technical Symposium on Computer Science Education V. 1;2024-03-07

3. A Testing Framework for AI Linguistic Systems (testFAILS);Electronics;2023-07-17

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