AI in Learning: Designing the Future / / edited by Hannele Niemi, Roy D. Pea, Yu Lu.
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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Place / Publishing House: | Cham : : Springer International Publishing :, Imprint: Springer,, 2023. |
Year of Publication: | 2023 |
Edition: | 1st ed. 2023. |
Language: | English |
Physical Description: | 1 online resource (XXV, 344 p. 49 illus., 42 illus. in color.) |
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Niemi, Hannele edt AI in Learning: Designing the Future / edited by Hannele Niemi, Roy D. Pea, Yu Lu. 1st ed. 2023. Cham Springer Nature 2023 Cham : Springer International Publishing : Imprint: Springer, 2023. 1 online resource (XXV, 344 p. 49 illus., 42 illus. in color.) text txt rdacontent computer c rdamedia online resource cr rdacarrier Open access Unrestricted online access star 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 account. Moving towards AI supported by digital tools requires a dramatic shift in the concept of learning, expertise and the businesses built off of it. Based on the latest research on AI and how it is changing learning and education, this book will focus on the enormous opportunities to expand educational settings with AI for learning in and beyond the traditional classroom. This open access book also introduces ethical challenges related to learning and education, while connecting human learning and machine learning. This book will be of use to a variety of readers, including researchers, AI users, companies and policy makers. 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. English Psychology. Social sciences—Data processing. Education. Cognitive science. Teaching. Artificial intelligence. Behavioral Sciences and Psychology. Computer Application in Social and Behavioral Sciences. Cognitive Science. Pedagogy. Artificial Intelligence. artificial intelligence life-long learning tutoring virtual learning learning analytics well-being simulations games intelligent digital tools deep learning robotics human-machine interaction Intel·ligència artificial thub Ensenyament thub Aprenentatge thub Educació thub Ètica thub Aprenentatge automàtic thub Llibres electrònics thub 3-031-09686-X Niemi, Hannele. editor. edt http://id.loc.gov/vocabulary/relators/edt Pea, Roy D. editor. edt http://id.loc.gov/vocabulary/relators/edt Lu, Yu. editor. edt http://id.loc.gov/vocabulary/relators/edt |
language |
English |
format |
eBook |
author2 |
Niemi, Hannele. Niemi, Hannele. Pea, Roy D. Pea, Roy D. Lu, Yu. Lu, Yu. |
author_facet |
Niemi, Hannele. Niemi, Hannele. Pea, Roy D. Pea, Roy D. Lu, Yu. Lu, Yu. |
author2_variant |
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author2_role |
HerausgeberIn HerausgeberIn HerausgeberIn HerausgeberIn HerausgeberIn HerausgeberIn |
author_sort |
Niemi, Hannele. |
title |
AI in Learning: Designing the Future / |
spellingShingle |
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. |
title_full |
AI in Learning: Designing the Future / edited by Hannele Niemi, Roy D. Pea, Yu Lu. |
title_fullStr |
AI in Learning: Designing the Future / edited by Hannele Niemi, Roy D. Pea, Yu Lu. |
title_full_unstemmed |
AI in Learning: Designing the Future / edited by Hannele Niemi, Roy D. Pea, Yu Lu. |
title_auth |
AI in Learning: Designing the Future / |
title_new |
AI in Learning: Designing the Future / |
title_sort |
ai in learning: designing the future / |
publisher |
Springer Nature Springer International Publishing : Imprint: Springer, |
publishDate |
2023 |
physical |
1 online resource (XXV, 344 p. 49 illus., 42 illus. in color.) |
edition |
1st ed. 2023. |
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. |
isbn |
3-031-09687-8 3-031-09686-X |
callnumber-first |
B - Philosophy, Psychology, Religion |
callnumber-subject |
BF - Psychology |
callnumber-label |
BF1-990 |
callnumber-sort |
BF 11 3990 |
genre |
Llibres electrònics thub |
genre_facet |
Llibres electrònics |
illustrated |
Not Illustrated |
dewey-hundreds |
100 - Philosophy & psychology |
dewey-tens |
150 - Psychology |
dewey-ones |
150 - Psychology |
dewey-full |
150 |
dewey-sort |
3150 |
dewey-raw |
150 |
dewey-search |
150 |
oclc_num |
1352974670 |
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