An edition of AI in Learning (2022)

AI in Learning: Designing the Future

Edition Number 1
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Last edited by Tauriel063
1 day ago | History
An edition of AI in Learning (2022)

AI in Learning: Designing the Future

Edition Number 1

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.

Publish Date
Publisher
Springer Cham
Language
English
Pages
344

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Edition Availability
Cover of: AI in Learning
AI in Learning: Designing the Future
2022, Springer International Publishing AG
in English
Cover of: AI in Learning: Designing the Future
AI in Learning: Designing the Future
2022, Springer Cham
Ebook in English - Edition Number 1
Cover of: AI in Learning
AI in Learning: Designing the Future
2022, Springer International Publishing AG
in English

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Book Details


Table of Contents

Front Matter
Introduction to AI in Learning: Designing the Future
AI Expanding Learning and Wellbeing Throughout Life
by Hannele Niemi, Roy D. Pea, Yu Lu
Front Matter
Artificial Intelligence Innovations for Multimodal Learning, Interfaces, and Analytics
by Marcelo Worsley
Curiosity and Interactive Learning in Artificial Systems
by Nick Haber
Assessing and Tracking Students’ Wellbeing Through an Automated Scoring System: School Day Wellbeing Model
by Xin Tang, Katja Upadyaya, Hiroyuki Toyama, Mika Kasanen, Katariina Salmela-Aro
Learning from Intelligent Social Agents as Social and Intellectual Mirrors
by Bethanie Maples, Roy D. Pea, David Markowitz
An AI-Powered Teacher Assistant for Student Problem Behavior Diagnosis
by Penghe Chen, Yu Lu
Analysis and Improvement of Classroom Teaching Based on Artificial Intelligence
AI in Games and Simulations
Front Matter
Perspectives and Metaphors of Learning: A Commentary on James Lester’s Narrative-Centered AI-Based Environments
by Zhong Sun, Zi Chun Yu, Fei Yun Xu
Learning Career Knowledge: Can AI Simulation and Machine Learning Improve Career Plans and Educational Expectations?
by I-Chien Chen, Lydia Bradford, Barbara Schneider
Learning Clinical Reasoning Through Gaming in Nursing Education: Future Scenarios of Game Metrics and Artificial Intelligence
by Jaana-Maija Koivisto, Sara Havola, Henna Mäkinen, Elina Haavisto
AI-Supported Simulation-Based Learning: Learners’ Emotional Experiences and Self-Regulation in Challenging Situations
by Heli Ruokamo, Marjaana Kangas, Hanna Vuojärvi, Liping Sun, Pekka Qvist
AI Technologies for Education and Intelligent Tutoring Systems
Front Matter
Training Hard Skills in Virtual Reality: Developing a Theoretical Framework for AI-Based Immersive Learning
by Tiina Korhonen, Timo Lindqvist, Joakim Laine, Kai Hakkarainen
Multiple Users’ Experiences of an AI-Aided Educational Platform for Teaching and Learning
by Shuanghong Jenny Niu, Xiaoqing Li, Jiutong Luo
Deep Learning in Automatic Math Word Problem Solvers
by Dongxiang Zhang
Recent Advances in Intelligent Textbooks for Better Learning
by Bo Jiang, Meijun Gu, Ying Du
AI and Ethical Challenges in New Learning Environments
Front Matter
Ethical Guidelines for Artificial Intelligence-Based Learning: A Transnational Study Between China and Finland
by Ge Wei, Hannele Niemi
Artificial Intelligence Ethics from the Perspective of Educational Technology Companies and Schools
by Päivi Kousa, Hannele Niemi
Artificial Intelligence in Education as a Rawlsian Massively Multiplayer Game: A Thought Experiment on AI Ethics
by Benjamin Ultan Cowley, Darryl Charles, Gerit Pfuhl, Anna-Mari Rusanen
Four Surveillance Technologies Creating Challenges for Education
by Roy D. Pea, Paulina Biernacki, Maxwell Bigman, Kelly Boles, Raquel Coelho, Victoria Docherty et al.
Reflections on the Contributions and Future Scenarios in AI-Based Learning
by Roy D. Pea, Yu Lu, Hannele Niemi
Back Matter

Edition Notes

Copyright Date
2022

Contributors

Editor
Hannele Niemi
Editor
Roy D. Pea
Editor
Yu Lu

The Physical Object

Format
Ebook
Pagination
XXV
Number of pages
344

Edition Identifiers

Open Library
OL57492927M
ISBN 13
9783031096877

Work Identifiers

Work ID
OL28024214W

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History

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1 day ago Edited by Tauriel063 Merge works
June 18, 2022 Created by ImportBot import new book