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AI in Higher Education: A literature Review of ChatGPT and Guidelines for Responsible Implementation

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posted on 2024-06-14, 04:54 authored by Pethigamage Perera, Madushan Lankathilake
Specifically, natural language models like ChatGPT present numerous advantages and disadvantages for higher education. It was trained on a massive dataset of text from the internet, allowing it to respond to a broad range of prompts. This article covers the use and potential implications of ChatGPT since its release in November 2022. One of the main benefits is the potential of Artificial Intelligence (AI) to address challenges in learning, such as improving the transfer of knowledge, dispelling misconceptions, and promoting critical thinking skills among students. It also acknowledges concerns about its use in assessments and the potential for academic dishonesty, integrity, and malpractices. In this article, the authors discuss the high level of interest in ChatGPT and its use in education by reviewing the literature about ChatGPT usage. The article provides a set of guidelines and emphasizes the need for further research to fully understand the current practices, challenges, and opportunities of ChatGPT in higher education. The authors conducted a thorough and systematic review of peer-reviewed journal articles to present a theoretical and conceptual perspective on ChatGPT. They acknowledge the possibility of ChatGPT’s hype mirroring that of previous advancements in artificial intelligence, automation, and AI algorithms. The article offers a summary of the research findings, highlighting both the benefits and drawbacks, while also providing practical guidelines for students and teachers on how to utilize ChatGPT effectively.

History

Volume

7

Issue

6

Start Page

306

End Page

314

Number of Pages

9

eISSN

2454-6186

ISSN

2454-6186

Publisher

RSIS International

Additional Rights

CC-BY

Peer Reviewed

  • Yes

Open Access

  • Yes

Acceptance Date

2023-05-30

Era Eligible

  • Yes

Journal

International Journal of Research and Innovation in Social Science

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