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
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Cham, : Springer Nature, 2023 | ||
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Lo trovi qui: Univ. Federico II | ||
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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-, >
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[San Rafael, California] : , : Morgan & Claypool, , 2017 | ||
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Lo trovi qui: Univ. Federico II | ||
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Technical, Economic and Societal Effects of Manufacturing 4.0 : Automation, Adaption and Manufacturing in Finland and Beyond / / edited by Mikael Collan, Karl-Erik Michelsen |
Autore | Collan Mikael |
Edizione | [1st ed. 2020.] |
Pubbl/distr/stampa | Springer Nature, 2020 |
Descrizione fisica | 1 online resource (XXVIII, 266 p. 15 illus.) |
Disciplina |
658.514
650 |
Soggetto topico |
Management
Industrial management Knowledge management Software engineering Engineering Innovation/Technology Management Knowledge Management Software Engineering/Programming and Operating Systems Engineering, general |
Soggetto non controllato |
Innovation/Technology Management
Knowledge Management Software Engineering/Programming and Operating Systems Engineering, general Business and Management Management Software Engineering Technology and Engineering additive manufacturing materials research automation robotics analytics change management business models life-long learning societal adaption open access Research & development management Industrial applications of scientific research & technological innovation Knowledge management Operating systems Engineering: general |
ISBN | 3-030-46103-3 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Chapter 1: Industry 4.0 in retrospect and in context -- Part 1: Technical Perspectives -- Chapter 2: Additive Manufacturing – Past, Present, and the Future -- Chapter 3: Additive manufacturing from the point of view of materials research -- Chapter 4: Robotics in Manufacturing – The Past and the Present -- Chapter 5: Maintenance management in light of manufacturing 4.0 -- Part 2: Manufacturing 4.0 Business models and the economic feasibility of additive manufacturing -- Chapter 6: Industrial additive manufacturing business models - what we know from the literature? -- Chapter 7: Additive manufacturing cases and a vision for a predictive analytics and additive manufacturing based maintenance business model -- Chapter 8: Quantifying the economic feasibility of additive manufacturing - simulating production lifetime in the context of spare parts production -- Chapter 9: Industry 4.0 transformation challenge in light of dynamic capabilities -- Part 3: Societal change brought about by manufacturing 4.0 -- Chapter 10: The Fourth Industrial Revolution and Changes to Working Life: What Supports Adult Employees in Adapting to New Technology at Work? -- Chapter 11: Modeling the Societal Division of Added Value Created Through Manufacturing 4.0 -- Chapter 12: Coping with Technological Change – Regional Preparedness in Face of Technical Change -- Chapter 13: Closing Words – Quo Vadis Manufacturing 4.0?. . |
Record Nr. | UNINA-9910412146403321 |
Collan Mikael
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Springer Nature, 2020 | ||
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Lo trovi qui: Univ. Federico II | ||
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