Description
Chapter 1. Introduction 1.1. What is Pedagogy? 1.2. Why Pedagogy is Important? 1.3. Different Types of Pedagogies 1.4. How is Pedagogy Changing? 1.5. How does pedagogy impact the learner? 1.6. Modern learning, teaching, and assessment methods 1.6.1. Crossover Learning 1.6.2. Learning Through Collaborative Argumentation 1.6.3. Incidental Learning 1.6.4. Context-Based Learning 1.6.5. Computational Thinking 1.6.6. Learning by Doing 1.6.7. Embodied Learning 1.6.8. Adaptive Teaching/Learning 1.6.9. Analytics of Emotions 1.6.10. Stealth Assessment Chapter 2. Crossover Learning 2.1. What is Crossover Learning? 2.2. Why is it good to implement? 2.3. Why is Crossover Learning Working in the Classroom? 2.4. How to implement it? 2.5. Limitations / Major Barriers and Disadvantages of adopting Crossover Learning 2.6. Case Studies Chapter 3. Learning Through Collaborative Argumentation 3.1. What is Collaborative Argumentation? 3.2. Benefits of Argumentation 3.3. Techniques for Effective Collaborative Argumentation 3.4. Preparing Classroom Environments for Collaborative Argumentation 3.5. Case Studies Chapter 4. Incidental Learning 4.1. What is Incidental Learning? 4.2. What is the Impact of Incidental Learning? 4.3. How to Engage with Incidental Teaching? 4.4. Incidental Learning in the Classroom 4.5. Incidental Learning and Intentional Learning 4.6. Informal and Intentional Learning 4.7. Case Studies Chapter 5. Context-Based Learning 5.1. What is Context-Based Learning? 5.2. Why Context-Based Learning? 5.3. Context-Based Learning and Competence 5.4. Impact on Students’ Learning 5.5. Creating Context-Based Learning Environments 5.6. Connecting Concepts and Contexts 5.7. Selection of Contexts 5.8. Assessment in context-based teaching and learning 5.9. Case Studies Chapter 6. Computational Thinking 6.1. What is Computational Thinking? 6.2. Why Computational Thinking is important? 6.3. Key Skills for Computational thinking 6.4. Six Principles of Computational Thinking 6.5. Learning Strategies for Developing Computational Thinking Skills 6.6. Computational thinking in practice 6.7. Thinking computationally 6.8. Assessment of computational thinking 6.9. Case Studies Chapter 7. Learning by Doing 7.1. What is Learning-by-doing? 7.2. Why Learning-by-doing is important? / Why is Learning-by-doing effective? 7.3. What We Learn When We Learn by Doing 7.4. How to do it? / Learning Styles 7.5. Learning-by-doing examples 7.6. Challenges of Learning-by-doing 7.7. Case Studies Chapter 8. Embodied Learning 8.1. What is Embodied Learning? 8.2. The Role of Embodiment in Learning 8.3. Principles of embodied learning 8.4. How to bring in the concept of Embodied Learning in Classrooms? 8.5. How Can Embodied Learning Help Students? 8.6. Case Studies Chapter 9. Adaptive Teaching/Learning 9.1. What is Adaptive Teaching/Learning 9.2. Technology and Methodology 9.3. Implementations 9.4. Development Tools 9.5. How Adaptive Learning is Changing Traditional Teaching Methods? 9.6. How to Adapt Your Teaching Strategies to Student Needs? 9.7. How to Apply Adaptive Learning in Practice? 9.8. Benefits of Adaptive Learning 9.9. Adaptive Learning Is the Future of Online Education 9.10. Case Studies Chapter 10. Analytics of Emotions 10.1. What is Emotional Analytics, and Why is it Important? 10.2. How Emotional Analytics works 10.3. How Emotions Affect Learning and Teaching 10.4. Uses of emotions analytics 10.5. Impact of emotions analytics 10.6. Emotion Analytics Techniques 10.7. Emotion Analytics Applications 10.8. Emotional Learning Analytics 10.9. Case Studies Chapter 11. Stealth Assessment 11.1. Problems with Current Assessments 11.2. What is Stealth Assessment? 11.3. Is Stealth Assessment Practical? 11.4. Stealth assessment in the classroom 11.5. Stealth assessment and Evidence-centered design 11.6. Best Practices 11.7. Case Studies Chapter-12: Pedagogy for E-learning 12.1. Concept and Definition of E-learning 12.2. Types of E-Learning 12.3. E-Learning contributions to Education 12.4. Pros and Cons of E-Learning 12.5. Modern e-learning pedagogy 12.6. Models of E-learning and teaching 12.7. Case Study Chapter 13. Harnessing the Power of AI to Education 13.1. Introduction 13.2. The need for AI in Education 13.3. The Role of AI in Education 13.4. The Impact of AI on Education 13.5. Technologies for AI in Education 13.6. Best practices for incorporating AI in Education 13.7. Applications of AI in Education 13.8. Pros and Cons of Using AI in Education 13.9. AI based Educational Tools 13.10. Usage of AI in Education – Present and Future 13.11. The Future of Education is AI-Assisted, not AI-Led 13.12. Case Study
