Artificial Intelligence Learning Facilitators

Creating Smart Education Systems
1. Auflage 2025
ISBN: 978-1-041-02716-4
Verlag: CRC Press

Buch, Englisch, 409 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 453 g

Reihe: Innovations in Intelligent Internet of Everything (IoE)

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.

Zielgruppe

Professional Practice & Development and Professional Reference

Autoren/Hrsg.

Al-Turjman, Fadi

Fachgebiete

• Mathematik | Informatik EDV | Informatik EDV & Informatik Allgemein E-Learning
• Sozialwissenschaften Pädagogik Lehrerausbildung, Unterricht & Didaktik E-Learning, Bildungstechnologie
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz

Inhaltsverzeichnis

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 Applications in Digital Forensics 24. The Transformation of Technology in STEM Education: Designing and Developing Digital Experiments for Science Education with Unity 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

Über Autor(innen)

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).