Impact of Generative AI in Education 2030

Author:

Adhikari Subhajit1,Kumbhakar Dulal2,Indra Nabanita3,Karforma Sunil4

Affiliation:

1. Institute of Engineering and Management, Kolkata, India

2. Vivekananda Mahavidyalaya, Haripal, India

3. Dinabandhu Andrew's Institute of Technology and Management, Kolkata, India

4. The University of Burdwan, India

Abstract

This book chapter contains the basics of generative AI, evaluation of generative AI, working process of generative AI, and applications of generative AI in Education 2030. In this chapter, the authors will introduce the emerging concept of large language model (LLM), reinforcement learning, response generation, neural network, and tokenization as the building blocks of generative AI. In this context, the authors will analyze the role of AI based ChatGpt technology in Education. The applications of generative AI in educational policy making, infrastructure development, research, innovation, activity building, and content generation for the students at schools and colleges will be discussed. But the contents of above mentioned activities must be guided by a teacher of school and college because such contents have more context wise decision making abilities rather than AI based solutions.

Publisher

IGI Global

Reference29 articles.

1. Chat GPT in Preparation of the Scientific Papers in Spinal Cord Injuries in the Middle East?

2. Atlas, S. (2023). ChatGPT for Higher Education and Professional Development: A Guide to Conversational AI. Research Gate. https://digitalcommons.uri.edu/cba_facpubs/548

3. Entrepreneurship education in the era of generative artificial intelligence

4. Bhalerao, P. (2020). Classification using a word embedding techniques. UMBC.. //https://redirect.cs.umbc.edu/courses/graduate/676/SP2020/SP2020presentations/Bhalerao%20Prachi%20Term%20Paper

5. Bommasani, R., Hudson, D. A., & Adeli, E. (2022). On the Opportunities and Risks of Foundation Models. Center for Research on Foundation Models (CRFM), 1-214.//https://arxiv.org/pdf/2108.07258.pdf

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