AI in Learning: Designing the Future

Chapter 2 Artificial Intelligence Innovations for Multimodal Learning, Interfaces, and Analytics

Chapter 3 Curiosity and Interactive Learning in Artificial Systems

Chapter 4 Assessing and Tracking Students’ Wellbeing Through an Automated Scoring System: School Day Wellbeing Model

Chapter 5 Learning from Intelligent Social Agents as Social and Intellectual Mirrors

Chapter 6 An AI-Powered Teacher Assistant for Student Problem Behavior Diagnosis

Chapter 7 Analysis and Improvement of Classroom Teaching Based on Artificial Intelligence

Chapter 8 Perspectives and Metaphors of Learning: A Commentary on James Lester’s Narrative-Centered AI-Based Environments

Chapter 9 Learning Career Knowledge: Can AI Simulation and Machine Learning Improve Career Plans and Educational Expectations?

Chapter 10 Learning Clinical Reasoning Through Gaming in Nursing Education: Future Scenarios of Game Metrics and Artificial Intelligence

Chapter 11 AI-Supported Simulation-Based Learning: Learners’ Emotional Experiences and Self-Regulation in Challenging Situations

Chapter 12 Training Hard Skills in Virtual Reality: Developing a Theoretical Framework for AI-Based Immersive Learning

Chapter 13 Multiple Users’ Experiences of an AI-Aided Educational Platform for Teaching and Learning

Chapter 14 Deep Learning in Automatic Math Word Problem Solvers

Chapter 15 Recent Advances in Intelligent Textbooks for Better Learning

Chapter 16 Ethical Guidelines for Artificial Intelligence-Based Learning: A Transnational Study Between China and Finland

Chapter 17 Artificial Intelligence Ethics from the Perspective of Educational Technology Companies and Schools

Chapter 18 Artificial Intelligence in Education as a Rawlsian Massively Multiplayer Game: A Thought Experiment on AI Ethics

Chapter 19 Four Surveillance Technologies Creating Challenges for Education

Chapter 20 Reflections on the Contributions and Future Scenarios in AI-Based Learning