Empowering Digital Education with ChatGPT

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academic integrity AI
adaptive learning systems
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artificial intelligence in education
automatic-update
B01=Mohamed Lahby
Category1=Non-Fiction
Category=JNA
Category=JNM
Category=UYQ
ChatGPT
COP=United Kingdom
Delivery_Pre-order
digital education
eq_bestseller
eq_computing
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_society-politics
generative AI
higher education AI applications
intelligent tutoring technology
language acquisition tools
Language_English
large language models
PA=Not yet available
Price_€100 and above
PS=Forthcoming
softlaunch
virtual classroom interaction

Product details

  • ISBN 9781032716084
  • Weight: 740g
  • Dimensions: 178 x 254mm
  • Publication Date: 12 Nov 2024
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
  • Language: English
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Recently, there has been a significant increase in the development and interest in applying generative AI across various domains, including education. The emergence of large language models (LLMs), such as the ChatGPT tool, fueled by advancements in generative AI, is profoundly reshaping education. The use of the ChatGPT tool offers personalized support, improves accessibility, and introduces innovative methods for students and educators to engage with information and learning materials. Furthermore, ChatGPT facilitates a wide range of language learning services, including language instruction, speech recognition, pronunciation feedback, and immersive virtual simulations for hands-on learning experiences.

This book explores the transformative potential of the ChatGPT tool within education, shedding light on the opportunities that arise through the integration of the ChatGPT tool into various aspects of the learning process. It serves as a platform for the community to share cutting-edge research ideas concerning the use of the ChatGPT tool in digital education. Readers will discover how the ChatGPT tool can enhance student engagement, foster personalized learning experiences, facilitate intelligent tutoring systems, support virtual classroom interactions, and revolutionize assessment and feedback mechanisms.

Mohamed Lahby is Associate Professor at the Higher Normal School (ENS) University Hassan II of Casablanca, Morocco. He received a PhD in Computer Science from the University Hassan II of Casablanca, in 2013. His research interests are smart cities and machine learning. He has published more than 50 papers and he has edited more than 10 books. He is a Senior Member of IEEE and Director of Laboratory of Applied Mathematics and Computer Sciences, Higher Normal School Hassan II University of Casablanca, Morocco.