Description
Since its inception, eye-tracking technology has evolved into a critical device in psychological and sociological settings. By tracking eye movement, one can conduct lie detection, learn about neuropsychology, and measure reading response. Recently, these technologies have been implemented in Educational and School Psychology as a way to assess how students interact with content.
Eye-Tracking Technology Applications in Educational Research enriches the current pool of educational research with cutting-edge applications of eye tracking in education. Seeking to advance this emergent, interdisciplinary field, this publication collects a diverse group of researchers exploring all aspects of this technology as an essential reference for educators, researchers, administrators, and advanced graduate students.
Reviews and Testimonials
Psychologists and cognitive scientists survey the application of eye-tracking technology in education research since it began early in the 21st century. They cover methodological issues, eye-tracking and language comprehension, multimedia learning, mathematics learning, visual-spatial learning, and special populations. Among the topics are using eye movements to study reading processes: methodological considerations, eye movement behavior and individual differences in word identification during reading, eye-tracking the emergence of attentional anchors in a mathematics learning tablet activity, using eye-tracking technology to understand how graphic organizers aid student learning, and the visual world paradigm in children with spoken language disorders.
– Protoview Reviews
Author's/Editor's Biography
Christopher Was (Ed.)
Christopher Was is an Associate Professor in the Department of Psychological Sciences at Kent State University. He began his career working in a residential treatment facility for adjudicated youth as a teacher and research coordinator for the Odyssey Project, sponsored by the Child Welfare League of America. He received his Ph.D. from the University of Utah in Educational Psychology, with an emphasis in learning, memory and cognition. His research interests are in the areas of models of working memory, complex cognitive processes, and metacognition. More recently his research has focused on implicit learning processes and their relationship to intelligence. Dr. Was uses eye tracking technologies in his research to investigate the connection between implicit cognitive processing and the explicit learning that results from these processes. He has published over 50 peer-reviewed papers, chapters, and refereed conference proceedings in the areas of learning, educational psychology, and cognitive psychology.
Frank Sansosti (Ed.)
Frank J. Sansosti, Ph.D., NCSP is an Associate Professor in the School Psychology at Kent State University. He has extensive experience working with individuals with developmental disabilities in both school and clinic settings. As a practitioner he provided coaching and technical assistance for early intervention and best practice approaches for students with low-incidence disabilities in inclusive settings, and coordinated efforts between parents, teachers, administrators, and district level personnel. Currently, Dr. Sansosti’s primary research and professional interests focus on the development and implementation of behavioral and social skills interventions for individuals with developmental delays, as well as the use of eye-tracking technologies as a tool for investigating the academic and social difficulties of students with disabilities. Dr. Sansosti is an active researcher, as evidence by over 40 publications and more than 75 professional workshops at local, regional, national, and international venues.
Bradley Morris (Ed.)
Bradley J. Morris is a Developmental Cognitive Scientist whose research program includes basic research in cognitive development and its application in designing and assessing effective STEM instruction in formal and informal settings. His research focuses on the development of Scientific and Mathematical reasoning and Motivation. The goal of his research program is to identify mechanisms underlying children’s reasoning (e.g., strategy acquisition) and motivation (e.g., praise type) using a variety of experimental methods (e.g., eye tracking), technological implementations (e.g., apps that measure informal STEM engagement), and computational models.