Enhancing Higher Education And Research With Openai Models

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Enhancing Higher Education and Research With OpenAI Models

Enhancing Higher Education and Research With OpenAI Models
Author :
Publisher : IGI Global
Total Pages : 326
Release :
ISBN-10 : 9798369316672
ISBN-13 :
Rating : 4/5 ( Downloads)

Book Synopsis Enhancing Higher Education and Research With OpenAI Models by : Demir, ?irvan ?en

Download or read book Enhancing Higher Education and Research With OpenAI Models written by Demir, ?irvan ?en and published by IGI Global. This book was released on 2024-06-05 with total page 326 pages. Available in PDF, EPUB and Kindle. Book excerpt: As classrooms move from chalkboards to digital platforms, there's a critical juncture where the potential of AI intersects with the future of academia. The problem is multifaceted — it involves the nature of pedagogy, the demand for personalized learning experiences, and the ethical considerations inherent in deploying AI technologies. Educators, researchers, and administrators face the challenge of navigating this transformation while ensuring inclusivity, fairness, and ethical practice. Integrating AI in higher education risks becoming a chaotic endeavor without a comprehensive understanding of the opportunities, challenges, and ethical dimensions. The lack of a strategic approach could lead to biases, privacy concerns, and a digital divide exacerbating educational inequalities. Enhancing Higher Education and Research With OpenAI Models explores the intersection of artificial intelligence and higher education, focusing on the social sciences. A collaborative team of academics and AI expert's analyses aims to illuminate the transformative potential of integrating AI technologies into traditional educational settings. The book unravels the rich tapestry of the history of higher education in the social sciences, tracing the evolution from conventional blackboards to the modern digital landscape. It meticulously examines the increasing integration of technology in classrooms. It sets the stage for the impact of AI-driven tools and data analytics on pedagogy, personalized learning experiences, and broader access to education.


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