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Bridging Human Intelligence and Artificial Intelligence / edited by Mark V. Albert, Lin Lin, Michael J. Spector, Lemoyne S. Dunn
(Educational Communications and Technology: Issues and Innovations. ISSN:26250012)

資料タイプ 電子ブック
1st ed. 2022.
出版者 (Cham : Springer International Publishing : Imprint: Springer)
出版年 2022
大きさ XVI, 363 p. 121 illus., 73 illus. in color : online resource

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教育図:電子ブック
OB0037471 国立教育政策研究所職員限定で利用できます

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一般注記 Foreword -- Preface -- Introduction -- Part 1: Trends And Future Of Learning And Learning Technologies -- Chapter 1: A History Of Trends From The Perspective Of The Texas Center For Educational Technology -- Chapter 2: Learning Perspectives: Towards A Neuro-Cognitive Definition Of Learning -- Chapter 3: Integrating An Emphasis On Creativity In Learning Across Disciplines -- Chapter 4: D-School And Designing Thinking -- Chapter 5: Designs And Technologies To Advance Self-Directed Learning -- Chapter 6: Learning Paths And Analytics -- Part 2: Promising Learning Technologies And Artificial Intelligence -- Chapter 7: Defining The “NEW” K12 Digital Ecosystem -- Chapter 8: AI 2.0 And Education -- Chapter 9: The Role Of Digital Curricula In K-12 -- Chapter 10: An Intelligent Textbook For Critical Thinking In Biology -- Chapter 11: Conversational Interfaces For Learning (Or: Integrating Robotics And The Curriculum) -- Part 3: Significant Challenges Requiring Resolution -- Chapter 12: The Challenges Of Sustaining A 1:1 Elementary Classroom -- Chapter 13: Data-Driven Education -- Chapter 14: Neuropsychological Assessments -- Chapter 15: Meaningful Learning Analytics.-Part 4: Reflections And Insights -- Chapter 16: The Neuroscience Of Learning -- Chapter 17: Thinking Critically About Critical Thinking -- Chapter 18: Informal Learning In Museums -- Chapter 19: Thoughts From A Linguist -- Chapter 20: Implications For The Future Of Learning.-Epilogue -- Glossary Of Terms -- Consolidated References -- Index
This edited volume is based on contributions from the TCET-AECT “Human-Technology Frontier: Understanding the Learning of Now to Prepare for the Work of the Future Symposium” held in Denton, Texas on May 16-18, sponsored by AECT. The authors embrace an integrative approach to designing and implementing advances technologies in learning and instruction, and focus on the emerging themes of artificial intelligence, human-computer interactions, and the resulting instructional design. The volume will be divided into four parts: (1) Trends and future in learning and learning technologies expected in the next 10 years; (2) Technologies likely to have a significant impact on learning in the next 10 years; (3) Challenges that will need to be addressed and resolved in order to achieve significant and sustained improvement in learning; and (4) Reflections and insights from the Symposium that should be pursued and that can form the basis for productive research collaborations. The primary audience for this volume is academics and researchers in disciplines such as artificial intelligence, cognitive science, computer science, educational psychology, instructional design, human-computer interactions, information science, library science, and technology integration
HTTP:URL=https://doi.org/10.1007/978-3-030-84729-6
著者標目 Albert, Mark V editor
Lin, Lin editor
Spector, Michael J editor
Dunn, Lemoyne S editor
SpringerLink (Online service)
件 名 LCSH:Education
LCSH:Educational psychology
LCSH:Artificial intelligence
FREE:Education
FREE:Education
FREE:Educational Psychology
FREE:Artificial Intelligence
分 類 LCC:L1-991
LCC:L1-991
DC23:370
DC23:370
書誌ID EB16355717
ISBN 9783030847296

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