AI in Education
Ashok Singh Gaur, Hari Om Sharan, Rajeev Kumar
Abstract
As artificial intelligence (AI) continues to advance, its integration into the field of education presents both promising opportunities and ethical challenges. This chapter explores the multifaceted landscape of AI in education, examining the ethical considerations associated with its implementation. The opportunities encompass personalized learning experiences, adaptive assessment tools, and efficient administrative processes. However, ethical concerns arise regarding data privacy, algorithmic bias, accountability, and the potential exacerbation of educational inequalities. Artificial intelligence is a field of study that combines the applications of machine learning, algorithm production, and natural language processing. Applications of AI transform the tools of education. AI has a variety of educational applications, such as personalized learning platforms to promote students' learning, automated assessment systems to aid teachers, and facial recognition systems to generate insights about learners' behaviors.