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The Transformative Potential of ChatGPT in Higher Education: Exploring the Impact and Implications for India

Authors: Dr. Ranjana Mary Varghese;

The Transformative Potential of ChatGPT in Higher Education: Exploring the Impact and Implications for India

Abstract

This paper explores the transformative potential of ChatGPT, an OpenAI chatbot and a largescale neural network-based language model, in higher education and its impact and implications for India. ChatGPT, trained on vast amounts of text data using Natural Language Processing (NLP), has the ability to generate human-like text. It utilizes Reinforcement Learning with Human Feedback (RLHF) and can be implemented as a chatbot on various platforms. While ChatGPT has the potential to revolutionize learning and enhance student motivation and participation, there are concerns regarding its impact on critical thinking and assessment integrity. The paper also discusses the benefits and challenges of integrating ChatGPT in higher education, including automation of administrative tasks, personalized learning experiences, tutoring and support, innovation and research, and content generation. It emphasizes the need for ethical and responsible use of AI tools in education and suggests re-envisioning teaching and assessment approaches to adapt to the advancements in AI and machine learning. The paper concludes by highlighting the importance of a comprehensive transformation in the education system to embrace and integrate AI tools effectively

Keywords

chatGPT,AI, Higher Education,Learning.

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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