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Shepley, Collin; Grisham-Brown, Jennifer; Lane, Justin D.; Ault, Melinda J. – Topics in Early Childhood Special Education, 2022
Progress-monitoring data collection is an essential skill for teachers serving children for whom the general curriculum is insufficient. As the field of early childhood education moves toward tiered service provision models, the importance of routine data collection is heightened. Therefore, we evaluated the effects of a training package on…
Descriptors: Early Childhood Education, Preschool Teachers, Teacher Behavior, Data Collection
Goforth, Anisa N.; Rennie, Brandon J.; Hammond, Julia; Schoffer Closson, Jennifer K. – Intervention in School and Clinic, 2016
For many practitioners in schools and clinics, collecting data to show the effectiveness of an intervention is probably one of the most important yet challenging components of intervention implementation. This article provides practitioners with an example case study of how data can be organized and collected to determine the effectiveness of a…
Descriptors: Data Collection, Educational Strategies, Research Skills, Intervention
Cunningham, Jim – International Educational Data Mining Society, 2015
In this paper, I describe preliminary work on a new research project in learning analytics at Arizona State University. In conjunction with an innovative remedial mathematics course using Khan Academy and student coaches, this study seeks to measure the effectiveness of visualized data in assisting student coaches as they help remedial math…
Descriptors: Research Projects, Remedial Mathematics, Coaching (Performance), Visual Aids
Witmer, Sara E.; Nasamran, Amy; Parikh, Purvi J.; Schmitt, Heather A.; Clinton, Marianne C. – Focus on Autism and Other Developmental Disabilities, 2015
Despite growing knowledge of the effectiveness of various interventions for children with autism spectrum disorders (ASD), it is never clear whether a particular intervention will be effective for a specific child with ASD. Careful monitoring of an individual child's progress is necessary to know whether an intervention is effective. In this…
Descriptors: Intervention, Autism, Pervasive Developmental Disorders, Children
Gee, Kevin A. – American Journal of Evaluation, 2014
The growth in the availability of longitudinal data--data collected over time on the same individuals--as part of program evaluations has opened up exciting possibilities for evaluators to ask more nuanced questions about how individuals' outcomes change over time. However, in order to leverage longitudinal data to glean these important insights,…
Descriptors: Longitudinal Studies, Data Analysis, Statistical Studies, Program Evaluation
Sykes, Andrea R.; Szuplat, Mary A.; Decker, Cynthia G. – Office of Career, Technical, and Adult Education, US Department of Education, 2014
Federal policymakers have interest in three specific areas of postsecondary career and technical education (CTE): associate degrees and certificates awarded in CTE, skills and training obtained through noncredit courses, and industry-recognized certifications. Research and data are readily available on students earning degrees and certificates in…
Descriptors: Educational Certificates, Vocational Education, Noncredit Courses, Outcomes of Education