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Bridging human intelligence and artificial intelligence / Mark V. Albert, Lin Lin, Michael J. Spector, Lemoyne S. Dunn, editors.

Springer Nature - Springer Education eBooks 2022 English International Available online

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Format:
Book
Contributor:
Albert, Mark V., editor.
Lin, Lin (Professor of learning technologies), editor.
Spector, J. Michael, editor.
Dunn, Lemoyne S., editor.
Series:
Educational communications and technology
Language:
English
Subjects (All):
Artificial intelligence--Educational applications.
Artificial intelligence.
Human-computer interaction.
Genre:
Electronic books.
Physical Description:
1 online resource (1 volume) : illustrations (black and white, and color).
Place of Publication:
Cham, Switzerland : Springer, 2022.
Summary:
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.
Contents:
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.
Notes:
Includes index.
Print version record.
Other Format:
Print version: Bridging human intelligence and artificial intelligence.
ISBN:
9783030847296
3030847292
OCLC:
1302754592
Access Restriction:
Restricted for use by site license.

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