ChatGPT - a Blessing or a Curse for Undergraduate Computer Science Students and Instructors?
Ishika Joshi,Ritvik Budhiraja,5 Authors,Harshal D. Akolekar
TLDR
A quantitative approach is adopted to demonstrate ChatGPT’s high degree of unreliability in answering a diverse range of questions pertaining to topics in undergraduate computer science and shows that students may risk self-sabotage by depending on Chat-GPT to complete assignments and exams.
Abstract
ChatGPT is an AI language model developed by OpenAI that can understand and generate human-like text. It can be used for a variety of use cases such as language generation, question answering, text summarization, chatbot development, language translation, sentiment analysis, content creation, personalization, text completion, and storytelling. While ChatGPT has garnered significant positive attention, it has also generated a sense of ap-prehension and uncertainty in academic circles. There is concern that students may leverage ChatGPT to complete take-home assignments and exams and obtain favorable grades without genuinely acquiring knowledge. This paper adopts a quantitative approach to demonstrate ChatGPT’s high degree of unreliability in answering a diverse range of questions pertaining to topics in undergraduate computer science. Our analysis shows that students may risk self-sabotage by depending on Chat-GPT to complete assignments and exams. We build upon this analysis to provide constructive recommendations to both students and instructors.
