AI in Learning: Designing the Future

1.Introduction to AI in Learning - Designing the Future.- Part I: AI expanding learning and wellbeing throughout life.- 2.Artificial Intelligence Innovations for Multimodal Learning, Interfaces, and Analytics.- 3.Curiosity and Interactive Learning in Artificial Systems.- 4.Assessing and Tracking Students'' Wellbeing through an Automated Scoring System: Schoolday Wellbeing Model.- 5.Learning from Intelligent Social Agents as Social and Intellectual Mirrors.- 6.An AI-Powered Teacher Assistant for Student Problem Behavior Diagnosis.- 7.Analysis and Improvement of Classroom Teaching Based on Artificial Intelligence.- Part II. AI in Games and Simulations.- 8.Perspectives and Metaphors of Learning: A Commentary on James Lester''s Narrative-centered AI-based Environments.- 9.Learning Career Knowledge: Can AI Simulation and Machine Learning Improve Career Plans and Educational Expectations?.- 10.Learning clinical reasoning through gaming in nursing education - Future scenarios of game metrics and AI.- 11.AI-Supported Simulation-Based Learning: Learners'' Emotional Experiences and Self-Regulation in Challenging Situations.- Part III. AI Technologies for education and Intelligent Tutoring Systems.- 12.Training Hard Skills in Virtual Reality: Developing a Theoretical Framework for AI-based Immersive Learning.-13.Multiple users'' experiences of an AI-aided educational platform for teaching and learning. 14.Deep Learning in Automatic Math Word Problem Solvers. 15.Recent Advances in Intelligent Textbooks for Better Learning.- Part IV. AI and Ethical Challenges in New Learning Environments.- 16.Ethical Guidelines for Artificial Intelligence-based Learning: A Transnational Study between in China and Finland.- 17.Artificial Intelligence Ethics from the Perspective of Educational Technology Companies and Schools.- 18.Artificial Intelligence in Education as a Rawlsian Massively Multiplayer Game: A thought experiment on AI Ethics.- 19.Four surveillance technologies creating challenges for education.- 20.Reflections on the contributions and future scenarios in AI-based learning.