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Impact of Generative AI in Education 2030
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Author(s): Subhajit Adhikari (Institute of Engineering and Management, Kolkata, India), Dulal Kumbhakar (Vivekananda Mahavidyalaya, Haripal, India), Nabanita Indra (Dinabandhu Andrew's Institute of Technology and Management, Kolkata, India)and Sunil Karforma (The University of Burdwan, India)
Copyright: 2024
Pages: 23
Source title:
Integrating Generative AI in Education to Achieve Sustainable Development Goals
Source Author(s)/Editor(s): Ruchi Doshi (Universidad Azteca, Mexico), Manish Dadhich (Sir Padampat Singhania University, India), Sandeep Poddar (Lincoln University College, Malaysia)and Kamal Kant Hiran (Sir Padampat Singhania University, India & Lincoln University College, Malaysia)
DOI: 10.4018/979-8-3693-2440-0.ch025
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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.
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