Linked e-resources
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Table of Contents
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.
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.