Overview

Artificial Intelligence Learning Facilitators: Creating Smart Education Systems delves into the various AI-based techniques, such as machine learning and natural language processing, that can help in automating management tasks such as lecture preparation, students’ performance evaluation, and predictive performance assessment. It highlights the importance of AI in handling the increasing learning complexities. The book explores the use of AI-based virtual assistants and chatbots in enhancing teaching services for students and instructors. It also discusses the potential of AI in creating personalized and targeted learning experiences. The centerpiece of the book is a presentation of the learning and teaching system, AI Prof. DUX. The use cases cover such scenarios as: Question generation for quizzes and exams The development and implementation of lecture scheduling The lecture notes’ generator Examination platform Lecture video link generation Classroom chat platform Courses management The book is an exploration of the crucial role of AI as a game-changer in educational transformation. It emphasizes how AI can positively impact various aspects of smart education systems.

Full Product Details

Author:   Fadi Al-Turjman (Near East University, Turkey)
Publisher:   Taylor & Francis Ltd
Imprint:   Auerbach
Weight:   0.920kg
ISBN:  

9781041027164

ISBN 10:   1041027168
Pages:   393
Publication Date:   28 October 2025
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Forthcoming
Availability:   Not yet available  
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Table of Contents

I. AI Prof. DUX Use Cases 1. Online Classrooms in Artificial Intelligence Learning 2. Questions Generation for Quizzes and Exams in Artificial Intelligence Learning Facilitators 3. The Development and Implementation of Lecture Scheduling Features in Artificial Intelligence Learning Facilitators 4. The Chatbot in Artificial Intelligence Learning Facilitators 5. The Lecture Notes’ Generator in Artificial Intelligence Learning 6. The Examination Platform in Artificial Intelligence Learning 7. The Lecture Video Link Generation in Artificial Intelligence Learning Facilitators 8. The Classroom Chat Platform in Artificial Intelligence Learning Facilitators 9. The Developed Timetable Application in Artificial Intelligence Learning Facilitators 10. Messaging in Artificial Intelligence Learning 11. Courses Management in Artificial Intelligence Learning Facilitators 12. Courses in Artificial Intelligence Learning Facilitators 13. Attendance System Based on Face Recognition in Artificial Intelligence Learning Facilitators 14. The Integrated Smart Classroom in Artificial Intelligence Learning Facilitators 15. A Mobile App in Artificial Intelligence Learning Facilitators 16. A Humanoid Head in Artificial Intelligence Learning Facilitators II. AI in Education 17. Towards the Realisation of a High Performing Continuous Yorùbá Speech to Text Translation Using a Mobile Phone 18. The Future of Distance Learning in Nigeria: Opportunities and Challenges of AI-Enhanced Virtual Classrooms 19. ISO/IEC 25010 Framework for Selecting Digital Learning Objects Using a Hybrid Fuzzy TOPSIS and PROMETHEE Models 20. An Evaluation of ISO 1926 Quality Criteria for the Selection of E-Learning Management Systems Using a Hybrid Fuzzy DEMATEL and Fuzzy PROMETHEE MCDM Technique 21. Reinforcement Learning for Data Generation and Analytics 22. Smart Scheduling Application 23. The Use of Cloud Storage Applıcatıons in Dıgıtal Forensıcs 24. The Transformatıon of Technology in STEM Educatıon: Desıgnıng and Developıng Dıgıtal Experıments for Scıence Educatıon wıth Unıty 3D 25. Human-Like Interaction: The Role of Emotion Recognition in Modern Chatbots 26. A Black Box Pearson Correlation Study on the Effects of Social Media on Young Adults 27. Design of Online Learning Early Warning Model Based on Artificial Intelligence 28. Big Data Analytics for Effective Management Information Systems to Enhance Decision-Making and Productivity: A Literature Review

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Author Information

Dr. Fadi Al-Turjman received his Ph.D. in computer science from Queen’s University, Canada, in 2011. He is a professor and the associate dean for research and the founding director of the International Research Center for AI and IoT at Near East University, Nicosia, Cyprus. Prof. Al-Turjman is the head of the Artificial Intelligence Engineering Department, and a leading authority in the areas of smart/intelligent IoT systems, wireless, and mobile networks’ architectures, protocols, deployments, and performance evaluation in Artificial Intelligence of Things (AIoT).

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