Bridging Human Intelligence and Artificial Intelligence

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 ChallengesOf 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.

Mark Albert's professional goal in life is to leverage machine learning to automate the collection and inference of clinically useful health information to improve clinical research. His projects in wearable sensor analytics have improved the measurement of health outcomes for individuals with Parkinson's disease, stroke, and transfemoral amputations with a variety of additional populations and contexts including children with cerebral palsy as well as healthy toddler activity tracking.  Current projects include video-based activity tracking and mobile robotic platforms, all in an effort to improve measures of clinical outcomes to justify therapeutic interventions.

Lin Lin is a Professor of Learning Technologies at the University of North Texas. Lin received her doctoral degree at Teachers College, Columbia University. Lin's research focuses on human-technology interactions, and life-long learning with innovative pedagogies and technologies. Specifically, she has published research in media multitasking, cognitive off-loading, multimedia design, executive functions, and (AI, VR) technology-supported STEM and STEM-enabling skills. Currently, Lin serves as the Director of Texas Center for Educational Technology (TCET).  She also serves as the Editor-in-chief of one of the top-tier journals, Educational Technology Research and Development (ETR&D Development Section). 

J. Michael Spector is Professor at UNT, was previously Professor of Educational Psychology at the University of Georgia, Associate Director of the Learning Systems Institute at Florida State University, Chair of Instructional Design, Development and Evaluation at Syracuse University, and Director of the Educational Information Science and Technology Research Program at the University of Bergen. He earned a Ph.D. from The University of Texas. He is a visiting research professor at Beijing Normal University, at East China