AI in Learning: Designing the Future
AI (Artificial Intelligence) is predicted to radically change teaching and learning in both schools and industry causing radical disruption of work. AI can support well-being initiatives and lifelong learning but educational institutions and companies need to take the changing technology into accoun...
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格式: | 电子 电子书 |
语言: | 英语 |
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Springer International Publishing : Imprint: Springer,
2023.
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版: | 1st ed. 2023. |
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在线阅读: | Link to Metadata |
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书本目录:
- 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.