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AI in Learning: Designing the Future / / edited by Hannele Niemi, Roy D. Pea, Yu Lu
AI in Learning: Designing the Future / / edited by Hannele Niemi, Roy D. Pea, Yu Lu
Autore Niemi Hannele
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham, : Springer Nature, 2023
Descrizione fisica 1 online resource (XXV, 344 p. 49 illus., 42 illus. in color.)
Disciplina 150
Soggetto topico 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
Intel·ligència artificial
Ensenyament
Aprenentatge
Educació
Ètica
Aprenentatge automàtic
Soggetto genere / forma Llibres electrònics
Soggetto non controllato artificial intelligence
life-long learning
tutoring
virtual learning
learning analytics
well-being
simulations
games
intelligent digital tools
deep learning
robotics
human-machine interaction
ISBN 3-031-09687-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 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.
Record Nr. UNINA-9910632469503321
Niemi Hannele  
Cham, : Springer Nature, 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
The human side of engineering / / John Heywood ; foreword by Mani Mina
The human side of engineering / / John Heywood ; foreword by Mani Mina
Autore Heywood John <1930-, >
Pubbl/distr/stampa [San Rafael, California] : , : Morgan & Claypool, , 2017
Descrizione fisica 1 online resource (168 pages)
Disciplina 620.0023
Collana Synthesis lectures on engineering
Soggetto topico Engineering - Social aspects
Soggetto non controllato agency
assumptions
change
common good
communication
community
contractualism
constructivism
consequentialism
curriculum
duty
development
engineering
engineering education
enterprise
epistemology
ethics
engineering ethics
fear
higher education
judgement
knowledge
language
learning
learning organization
life-long learning
management
mobility
morality
open-system
closed system
organization
the person
perception
philosophy
philosophy of engineering
professional
realism
reflection
responsibilities
rights
schema
self-management
social system
transfer of learning
team-work
technological literacy
truth
university
virtues
ways of thinking
work
workforce
ISBN 1-62705-665-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto It all depends on what you mean by... -- Thinking about thinking -- Things are not always what they seem -- Meaning: true or false: real or imagined -- From perception to self-perception and a little management en-route -- Sharing problems: living in communities -- Thinking about making a good engineer possible -- Aspiration in engineering -- Preparing for the future: individuals and organizations -- Changing us: changing society -- Journey's end: a new beginning? -- Questioning our assumptions: adaptability and change -- Author's biography -- Author index -- Subject index.
Record Nr. UNINA-9910160670003321
Heywood John <1930-, >  
[San Rafael, California] : , : Morgan & Claypool, , 2017
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui