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Bridging Human Intelligence and Artificial Intelligence

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Bridging Human Intelligence and Artificial Intelligence/ edited by Mark V. Albert, Lin Lin, Michael J. Spector, Lemoyne S. Dunn.
其他作者:	Dunn, Lemoyne S.
面頁冊數:	XVI, 363 p. 121 illus., 73 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Artificial Intelligence. -
電子資源:	https://doi.org/10.1007/978-3-030-84729-6
ISBN:	9783030847296

Bridging Human Intelligence and Artificial Intelligence
Bridging Human Intelligence and Artificial Intelligence[electronic resource] /edited by Mark V. Albert, Lin Lin, Michael J. Spector, Lemoyne S. Dunn. - 1st ed. 2022. - XVI, 363 p. 121 illus., 73 illus. in color.online resource. - Educational Communications and Technology: Issues and Innovations,2625-0012. - Educational Communications and Technology: Issues and Innovations,.

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.

ISBN: 9783030847296

Standard No.: 10.1007/978-3-030-84729-6doiSubjects--Topical Terms:

646849
Artificial Intelligence.

LC Class. No.: L1-991

Dewey Class. No.: 370

Bridging Human Intelligence and Artificial Intelligence
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