Generative AI in Higher Education

Author:

Wrench Jason S.1ORCID,Elmoudden Sanae2

Affiliation:

1. SUNY New Paltz, USA

2. St. John's University, USA

Abstract

This chapter provides a comprehensive exploration of generative artificial intelligence (AI), particularly focusing on its implications and applications in higher education. It discusses the evolution and fundamental concepts of AI, including large language models and their development, emphasizing the intricate processes involved in creating and refining these models. The chapter delves into the ethical considerations and potential biases inherent in AI systems, highlighting the importance of responsible AI development. Moreover, the chapter examines the transformative potential of generative AI in enhancing learning, creativity, and information processing in higher education settings.

Publisher

IGI Global

Reference16 articles.

1. Chow, A. R. (2023, February 8). How ChatGPT managed to grow faster than TikTok or Instagram. Time. https://time.com/6253615/chatgpt-fastest-growing/

2. Adequacy in Machine vs. Human Translation: A Comparative Study of English and Persian Languages

3. Heaven, W. D. (2023a, November 16). Google DeepMind wants to define what counts as artificial general intelligence. MIT Technology Review. https://www.technologyreview.com/2023/11/16/1083498/google-deepmind-what-is-artificial-general-intelligence-agi/

4. 6 big questions for generative AI.;W. D.Heaven;MIT Technological Review,2023

Cited by 1 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 Artificial Intelligence: 8 Critical Questions for Libraries;Journal of Library Administration;2024-01-02

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