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F. Paul Wonsavage; Samuel Otten; Amber G. Candela; Zandra de Araujo – International Journal of Research & Method in Education, 2025
Classroom observations are an integral part of qualitative educational research. Traditionally, classroom observations have been done in-person, with one or more researchers being physically present in a classroom to observe and take field notes. With the proliferation of video technology, researchers are now able to conduct classroom observations…
Descriptors: Observation, Classroom Observation Techniques, Educational Research, Video Technology
Brendan R. Eagan – ProQuest LLC, 2020
A fundamental component of research on learning is understanding processes of performance. One typical method of studying how and why people perform in particular ways is to record audio or video of those processes. Research methodologies that rely on audio or video data start with recording phenomena (events) researchers are interested in. After…
Descriptors: Research Methodology, Video Technology, Audio Equipment, Documentation
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Wood, Brenna K.; Hojnoski, Robin L.; Laracy, Seth D.; Olson, Christopher L. – Topics in Early Childhood Special Education, 2016
Although, collectively, results of earlier direct observation studies suggest momentary time sampling (MTS) may offer certain technical advantages over whole-interval (WIR) and partial-interval (PIR) recording, no study has compared these methods for measuring engagement in young children in naturalistic environments. This study compared direct…
Descriptors: Young Children, Research Methodology, Observation, Intervals
Sam, Ann; Reszka, Stephanie; Odom, Samuel; Hume, Kara; Boyd, Brian – Behavioral Disorders, 2015
Momentary time sampling, partial-interval recording, and event coding are observational coding methods commonly used to examine the social and challenging behaviors of children at risk for or with developmental delays or disabilities. Yet there is limited research comparing the accuracy of and relationship between these three coding methods. By…
Descriptors: Coding, Teaching Methods, Social Behavior, Peer Relationship
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Kirby, Anne V.; Dickie, Virginia A.; Baranek, Grace T. – Autism: The International Journal of Research and Practice, 2015
First-person perspectives of children with autism spectrum disorder are rarely included in research, yet their voices may help more clearly illuminate their needs. This study involved phenomenological interviews with children with autism spectrum disorder (n = 12, ages 4-13) used to gain insights about their sensory experiences. This article…
Descriptors: Autism, Pervasive Developmental Disorders, Sensory Experience, Phenomenology
Foster, Tanina S. – ProQuest LLC, 2014
Introduction: Observational research using the thin slice technique has been routinely incorporated in observational research methods, however there is limited evidence supporting use of this technique compared to full interaction coding. The purpose of this study was to determine if this technique could be reliability coded, if ratings are…
Descriptors: Reliability, Validity, Observation, Research Methodology
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Ok, Min Wook; Kim, Woori – Exceptionality, 2017
New technology devices such as iPads and iPods have become very popular and widely used in special education settings to teach students with disabilities. The 20 selected single-case design studies published by November 2015 were comprehensively reviewed to examine the effects of using iPads and iPods on academic performance and engagement of…
Descriptors: Handheld Devices, Technology Uses in Education, Special Education, Disabilities
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection