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Applications of Artificial Intelligence in Education: Implications for Pedagogy, Learning Outcomes, and Policy Development

Book Chapter

Authors: Vijaya Kittu Manda; Kishore Bezawada; Madhu Bhukya

DOI: https://doi.org/10.70593/978-81-984306-7-0_1

Book Name: Artificial Intelligence Implementation in Education Processes

ISBN: ISBN-13 (15) 978-81-984306-9-4; ISBN-13 (15) 978-81-984306-7-0

Publisher: Deep Science Publishing

Editor(s): Dr. Dina Darwish

Book Chapter Number: 1

Publication Date: February 17, 2025

Pages: 1 to 21

Book Chapter Link on Publisher Website

Book Link on Publisher Website

Abstract: Researchers have documented the advantages and impact of artificial intelligence (AI) on the field of education well. All stakeholders in the educational sector will benefit from improved outcomes by implementing AI systems. This study discusses the integration of AI into a desired system called “Smart Education.” It explains the transformative potential of customized educational content to individual learners’ needs. AI technologies become assistants to education and help them in instruction design and content development. The system considers each student’s unique pace, preferences, and capabilities and generates content accordingly. Such learning will be more effective and engaging. AI systems in education have three key sub-systems: intelligent tutoring systems, adaptive learning platforms, and predictive analytics. These innovations identify learning gaps, provide real-time feedback, and support differentiated instruction. Students with such content exposure and tools can achieve their full potential. Institutions are concerned with challenges and ethical concerns connected with the deployment of AI in Education. Despite this, there is a need for continued exploration and adoption of AI technologies. They create dynamic, responsive, personalized learning experiences that prepare students for future demands. Educators and Institutions can significantly improve learning outcomes and promote a culture of innovation and adaptability in education by using AI.

Keywords: Adaptive Learning, GenAI, Inclusive Learning, Learning Gaps, Personalized Learning, Smart Education, Student Engagement

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