Transformative Effects of ChatGPT on Modern Education: Emerging Era of AI Chatbots
Abstract
ChatGPT, an AI-based chatbot, was released to provide coherent and useful replies based on analysis of large volumes of data. In this article, leading scientists, researchers and engineers discuss the transformative effects of ChatGPT on modern education. This research seeks to improve our knowledge of ChatGPT capabilities and its use in the education sector, identifying potential concerns and challenges. Our preliminary evaluation concludes that ChatGPT performed differently in each subject area including finance, coding and maths. While ChatGPT has the ability to help educators by creating instructional content, offering suggestions and acting as an online educator to learners by answering questions and promoting group work, there are clear drawbacks in its use, such as the possibility of producing inaccurate or false data and circumventing duplicate content (plagiarism) detectors where originality is essential. The often reported hallucinations within Generative AI in general, and also relevant for ChatGPT, can render its use of limited benefit where accuracy is essential. What ChatGPT lacks is a stochastic measure to help provide sincere and sensitive communication with its users. Academic regulations and evaluation practices used in educational institutions need to be updated, should ChatGPT be used as a tool in education. To address the transformative effects of ChatGPT on the learning environment, educating teachers and students alike about its capabilities and limitations will be crucial.
Keywords
Cite
@article{arxiv.2306.03823,
title = {Transformative Effects of ChatGPT on Modern Education: Emerging Era of AI Chatbots},
author = {Sukhpal Singh Gill and Minxian Xu and Panos Patros and Huaming Wu and Rupinder Kaur and Kamalpreet Kaur and Stephanie Fuller and Manmeet Singh and Priyansh Arora and Ajith Kumar Parlikad and Vlado Stankovski and Ajith Abraham and Soumya K. Ghosh and Hanan Lutfiyya and Salil S. Kanhere and Rami Bahsoon and Omer Rana and Schahram Dustdar and Rizos Sakellariou and Steve Uhlig and Rajkumar Buyya},
journal= {arXiv preprint arXiv:2306.03823},
year = {2023}
}
Comments
Preprint submitted to IoTCPS Elsevier (2023)