Mind, Brain and Technology

Part I: Preface.- Part II: Introduction.- Mind, brain, and technology: what is learning and how people learn.- Multidisciplinary emerging technologies to assess and measure how people learn.- Part III: Neurosciences, learning sciences, and technologies in complex learning contexts.- Developing brain in a multitasking world.- Perspectives from social and affective neuroscience on design and implementation of learning technologies.- Complex learning environments with emerging technologies.- Part IV: Domain specific aspects of emerging technologies for learning.- Learning to read in the era of educational technologies.- Learning technologies for mathematical processing.- Neuroscience, metacognition, and instructional research.- Part V: Future directions.- Edu-game sensors for cognitive appraisal and affect detection.- The potential impact on educational practices and policies.- Implications for instructional design and technology research.- Future possible computational neuropsychologyfor educational technologies.

Thomas D. Parsons, PhD, is a Clinical Neuropsychologist and Associate Professor of Psychology at the University of North Texas. Prior to joining the faculty at UNT, he was an Assistant Professor and Research Scientist at the University of Southern California's Institute for Creative Technologies. His work integrates neuropsychology and simulation technologies for novel assessment, modeling, and training of neurocognitive and affective processes. He is a leading scientist in this area and he has directed 17 funded projects during his career and he has been an investigator on an additional 13 funded projects. In addition to his patents for the eHarmony.com Matching System, he has invented and validated virtual reality-based assessments of attention, spatial abilities, memory, and executive functions. He uses neural networks and machine learning to model mechanisms underlying reinforcement learning, decision making, working memory, and inhibitory control. In addition to histhree books, he has over 100 publications in peer reviewed journals and book chapters. He is currently Co-PI (in partnership with Soar Technology) on a Department of Defense funded ($998,888) grant that aims to develop an artificially intelligent cognitive architecture for neurocognitive assessment. He has served as Associate Editor for Frontiers in Human Neuroscience and the editorial boards of Psychological Assessment; Cyberpsychology, Behavior, and Social Networking; Assessment (Sage); and PsycCRITIQUES. His contributions to neuropsychology were recognized when he received the 2013 National Academy of Neuropsychology Early Career Achievement award. In 2014, he was awarded Fellow status in the National Academy of Neuropsychology.
Lin Lin, Ed.D., is an Associate Professor of Learning Technologies at the University of North Texas. Lin's research looks into interactions between the mind, brain, and technology in complex learning environments. She has conducted research on