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Science Mapping of "Artificial Intelligence in Education" Literature Landscape: A Bibliometric and Content Analysis Discourse
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Author(s): Ajay Chandel (Lovely Professional University, India), Anjali Sharma (Mittal School of Business, Lovely Professional University, India), Abbineni Praveen Chowdary (Lovely Professional University, India)and Shefali Saluja (Chitkara University, India)
Copyright: 2024
Pages: 21
Source title:
Ethical AI and Data Management Strategies in Marketing
Source Author(s)/Editor(s): Shefali Saluja (Chitkara Business School, Chitkara University, India), Varun Nayyar (Center for Distance and Online Education, Chitkara University, India), Kuldeep Rojhe (Center for Distance and Online Education, Chitkara University, India)and Sandhir Sharma (Chitkara Business School, Chitkara University, India)
DOI: 10.4018/979-8-3693-6660-8.ch011
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Abstract
Educational methods are being transformed by AI-powered systems that enable independent study, tailored instruction, and the gaining of varied disciplines. On the other hand, AI's use in education has also sparked a global debate on areas related to ethics in classroom education. The objective of this work is to present a thorough examination of academic literature about the application and challenges of artificial intelligence (AI) in educational settings. Through the use of sophisticated bibliometric methods such as co-citation analysis, bibliographic coupling, and keyword co-occurrence analysis, the of this work is to map out the ongoing debate on use of artificial intelligence in education and identify the underlying patterns, connections, and new developments in this area. The chapter proposes future routes for research and innovation in this quickly developing field in addition to providing insights on the historical evolution and current status of AI in education.
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