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Bruhn, Allison L.; McDaniel, Sara C.; Rila, Ashley; Estrapala, Sara – Beyond Behavior, 2018
Students who are at risk for or show low-intensity behavioral problems may need targeted, Tier 2 interventions. Often, Tier 2 problem-solving teams are charged with monitoring student responsiveness to intervention. This process may be difficult for those who are not trained in data collection and analysis procedures. To aid practitioners in these…
Descriptors: Progress Monitoring, Behavior Problems, Student Behavior, At Risk Students
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Frazelle, Sarah; Nagel, Aisling – Regional Educational Laboratory Northwest, 2015
To stem the tide of students dropping out, many schools and districts are turning to early warning systems (EWS) that signal whether a student is at risk of not graduating from high school. While some research exists about establishing these systems, there is little information about the actual implementation strategies that are being used across…
Descriptors: At Risk Students, Dropouts, Dropout Prevention, Prevention
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Riley-Tillman, T. Chris; Chafouleas, Sandra M.; Briesch, Amy M. – Psychology in the Schools, 2007
With the growing popularity of a response to intervention model of service delivery, the role of intervention management is becoming more prominent. Although many aspects of intervention management have received significant attention, one area that warrants further development involves feasible methods for monitoring student behavior in a…
Descriptors: Student Behavior, Intervention, Report Cards, Internet
Gentry, Barbara – 1983
A code to systematically observe preschool settings in which handicapped children were placed was designed to determine the types of interaction and play behavior that occurs in these settings. The code records the following information: play area the child is in, how many children are in the same area, the play behavior the child is undertaking,…
Descriptors: Data Collection, Disabilities, Interaction Process Analysis, Mainstreaming
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Schwartz, Ilene S.; Olswang, Lesley B. – Topics in Early Childhood Special Education, 1996
This article proposes methods for asking analytic and systemic questions and using quantitative and qualitative data for documenting behavior change in young children receiving special education services. Suggestions are provided for developing data collection protocols that are valid but that are also manageable in practice. (Author/DB)
Descriptors: Behavior Change, Child Behavior, Data Collection, Disabilities
Stokrocki, Mary – 1992
Classroom teachers have stereotypes and myths about art education that seem to arise for various reasons including a range of backgrounds, interests, and lack of art experiences; diversity and contradiction of preferences; expectations for an easy course and high grades; and preconceptions about art and art teaching. This latter category includes…
Descriptors: Art Education, Art Expression, Creativity, Curriculum Development
Anderson, Patricia S.; Gabriel, Roy M. – 1987
This guide is designed to assist school personnel to profile their data on student behavior to support school improvement goal setting. A profile is a document that presents a broad description of student performance in the areas of academic achievement, behavior, and attitude. The profiling process is outlined in eight steps: (1) plan the…
Descriptors: Academic Achievement, Behavior, Behavioral Objectives, Data Collection
Lehman, Penny W.; And Others – 1992
The Community College Student Experiences Questionnaire (CCSEQ) is an instrument designed to determine how community college students spend their time and what quality of effort they put into learning. Specifically, the content of the questionnaire focuses on four elements: who students are and why they are at the college; how extensively and…
Descriptors: College Environment, Community Colleges, Comparative Analysis, Data Collection