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AI-Enabled Learning Ecosystems: Bridging Gaps and Enhancing Education
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Author(s): S. Santhana Hari (Thiagarajar College of Engineering, India), R. Harine Rajashree (Thiagarajar Engineering College, India), J. Dharani (Thiagarajar College of Engineering, India)and C. Santhiya (Thiagarajar Engineering College, India)
Copyright: 2025
Pages: 28
Source title:
Driving Quality Education Through AI and Data Science
Source Author(s)/Editor(s): Thangavel Murugan (United Arab Emirates University, UAE), Karthikeyan P. (Thiagarajar College of Engineering, India)and A.M. Abirami (Thiagarajar College of Engineering, India)
DOI: 10.4018/979-8-3693-8292-9.ch008
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Abstract
Artificial intelligence (AI) has rapidly evolved from a speculative concept into a transformative force impacting multiple domains, with education being one of its most promising areas of influence. The potential of AI lies in creating dynamic, adaptive, and student-centered learning ecosystems that enhance the teaching and learning process. In this chapter, we will delve into how AI can transform education, starting with the concept of AI-integrated smart classrooms that foster personalized and efficient learning. We will explore the use of AI for asset tracking to ensure safety and support inclusive education for students with special needs. Furthermore, the chapter will discuss the integration of AI in design thinking, enhancing creativity and problem-solving skills. We will also examine generative AI's impact on learning, and how AI can revolutionize assessment methods. These discussions, supported by scholarly references, aim to provide a comprehensive understanding of AI's role in shaping the future of education while addressing associated challenges.
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