Artificial Intelligence Learning Facilitators
Auerbach (Verlag)
978-1-041-02716-4 (ISBN)
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.
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).
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. Development and Implementation of Lecture Scheduling Features in Artificial Intelligence Learning Facilitators 4. The Chatbot in Artificial Intelligence Learning Facilitators 5. Lecture Notes’ Generator in Artificial Intelligence Learning 6. Examination Platform in Artificial Intelligence Learning 7. Lecture Video Link Generation in Artificial Intelligence Learning Facilitators 8. Classroom Chat Platform in Artificial Intelligence Learning Facilitators 9. 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
| Erscheinungsdatum | 12.09.2025 |
|---|---|
| Reihe/Serie | Innovations in Intelligent Internet of Everything IoE |
| Zusatzinfo | 170 Line drawings, black and white; 170 Illustrations, black and white |
| Verlagsort | London |
| Sprache | englisch |
| Maße | 156 x 234 mm |
| Gewicht | 920 g |
| Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
| Sozialwissenschaften ► Pädagogik | |
| Technik ► Elektrotechnik / Energietechnik | |
| ISBN-10 | 1-041-02716-8 / 1041027168 |
| ISBN-13 | 978-1-041-02716-4 / 9781041027164 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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