Eye-tracking Technology Applications in Educational Research
Language: English
Published by Igi Global Scientific Publishing, 2016
- Hardcover
- Used

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- Title
- Eye-tracking Technology Applications in Educational Research
- Author
- Was, Christopher (EDT); Sansosti, Frank (EDT); Morris, Bradley (EDT)
- Publisher
- Igi Global Scientific Publishing
- Publication year
- 2016
- Condition
- As New
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 1522510052
- ISBN 13
- 9781522510055
"Synopsis" may belong to another edition of this title.
About the Author
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. Sansostis 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 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 childrens 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.
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