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Artificial Intelligence in Higher Education: A Practical Approach

Artificial Intelligence in Higher Education: A Practical Approach

Edited by
Prathamesh Padmakar Churi
Assistant Professor, Department of Computer Engineering, SVKM’s Narsee Monjee Institute of Management Studies (NMIMS) Mukesh Patel School of Technology Management and Engineering
Shubham Joshi
Program Chair, Artificial Intelligence & Machine Learning and Assistant Professor Department of Computer Engineering at SVKM's Narsee Monjee Institute of Management Studies (NMIMS), Mumbai, India
Mohamed Elhoseny
Assistant Professor at the Department of Computer Science, American University in the Emirates, Dubai, UAE
Amina Omrane
Associate- Professor (HDR), authorized to supervise research in management science at the University of Sfax in Tunisia
Publication date
2022
Book Review

This collection of papers contains valuable insights for instructors, instructional designers and administrators. It discusses learning methodologies, intelligent tutoring systems, intelligent student guidance and assessments, intelligent education chatbots, and artificial tutors, and presents the practicality and applicability implications of AI in education. The book offers new and current research along with case studies showing the latest techniques and educational activities. It raises both practical implementation challenges — costs, integration with existing systems, the innovation readiness of staff and students — as well as the more “regular” concerns with security, algorithmic bias and the impact of AI on human relationships. Good material, well presented and clear.

Target Audience
Program, Course and Instructional Designers
Link to book
https://www.routledge.com/Artificial-Intelligence-in-Higher-Education-A-Practica…
APA Citation

Churi, P.P., Joshi, S., Elhoseny, M. & Omarne, A. [Eds.]. (2022). Artificial intelligence in higher education: A practical approach. New York: CRC Press

Sujets
Artificial Intelligence

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