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Ma, Zijie; Travers, Jason C. – Intervention in School and Clinic, 2022
Special education and related professionals often understand the importance of adhering to intervention procedures (i.e., fidelity), but may be less familiar with concepts of intervention intensity. In some cases, professionals may correctly apply an intervention, but with insufficient intensity. This can result in an intervention failing to…
Descriptors: Students with Disabilities, Autism, Pervasive Developmental Disorders, Intervention
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Adrian Adams; Lauren Barth-Cohen – CBE - Life Sciences Education, 2024
In undergraduate research settings, students are likely to encounter anomalous data, that is, data that do not meet their expectations. Most of the research that directly or indirectly captures the role of anomalous data in research settings uses post-hoc reflective interviews or surveys. These data collection approaches focus on recall of past…
Descriptors: Undergraduate Students, Physics, Science Instruction, Laboratory Experiments
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Williford, Amanda; Downer, Jason; Miller-Bains, Kate; Conway, Jenna; Howard, Lisa – Future of Children, 2021
In this article, Amanda Williford, Jason Downer, Kate Miller-Bains, Jenna Conway, and Lisa Howard tell us how a university research center, an early education advocacy group, and a state department of education joined forces in a research-practice partnership to develop and implement a more comprehensive assessment of young Virginia children's…
Descriptors: Decision Making, Partnerships in Education, Early Childhood Education, Educational Research
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Dameron, Merry Leigh; Perry, Jennifer; Saunders, Rachel; Foxx, Sejal P. – Journal of School Counseling, 2021
Using data to drive decision-making and evaluate program effectiveness is paramount to the school counseling profession. In this pilot study, researchers utilized a quasi-experimental design to examine the impact of training in action research on students' data attitudes and self-efficacy. Participants in the experimental group saw greater…
Descriptors: School Counseling, Action Research, Counselor Training, Program Effectiveness
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Flanagan, Matthew F.; Kutscher, Elisabeth L. – TEACHING Exceptional Children, 2021
Community-based instruction (CBI) is one type of community experience in which students with disabilities work toward instructional goals while engaged in activities occurring in a natural environment outside of a typical school setting (Hoover, 2016; Rowe et al., 2015). Educators who implement CBI capitalize on their students' time in the…
Descriptors: Community Based Instruction (Disabilities), Progress Monitoring, Students with Disabilities, High School Students
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Bickmore, Dana L.; Roberts, Maria M.; Gonzales, Miguel M. – Journal of Educational Administration, 2021
Purpose: School improvement planning and implementation is one organizational process by which principals may positively impact school and student outcomes. Limited research, however, has explored how principal preparation programs prepare aspiring leaders for this common school leadership activity. This study examined aspiring principals engaged…
Descriptors: Principals, Administrator Education, Educational Improvement, Instructional Leadership
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Pratt-Williams, Jaunelle; Harris, Julie; Saucedo, Daniela; Mislevy, Jessica – Regional Educational Laboratory Appalachia, 2021
Regional Educational Laboratory Appalachia researchers developed the Cost-Feasibility Analysis (CFA) Toolkit to help education leaders estimate whether implementing supplemental online programs is affordable given a school or district's available resources. The CFA Toolkit guides users through a four-stage process that yields cost information that…
Descriptors: Cost Effectiveness, Feasibility Studies, Supplementary Education, Online Courses
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Bartholomew, Scott R.; McGraw, Tim; Fauber, Daphne; Charlesworth, Jon; Weitlauf, John – Technology and Engineering Teacher, 2020
Technological advances, artificial intelligence innovations, and widespread computing have all combined to necessitate a new generation of knowledge workers where data becomes a ubiquitous part of decision making (Sutton, 2006). Teaching today's students through the application of this "new" knowledge to long-established fields…
Descriptors: Sanitation, Water, Agriculture, High School Students
Makkonen, Reino; White, Melissa Eiler – WestEd, 2020
This knowledge brief is part of a continuing series designed to inform California education leaders about new research findings on key state policy topics. It summarizes recent findings on improving the access to, and the use of, teacher workforce data in California, and focuses on the importance of instituting a statewide teacher data system that…
Descriptors: Data Use, Data Collection, Decision Making, State Policy
Institute for Women's Policy Research, 2021
Head Start, the largest early learning program in the United States, provides free federally funded, high-quality early learning for children alongside wraparound supports for parents. Its mission includes helping families achieve self-sufficiency and economic security, such as by helping parents access and succeed in college and workforce…
Descriptors: Partnerships in Education, Preschool Education, Disadvantaged Youth, College School Cooperation
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Woolverton, Genevieve Alice; Pollastri, Alisha R. – Educational Measurement: Issues and Practice, 2021
Within classrooms, psychologists and teachers use direct behavior observation methods, systematic behavior observations (SBOs) and direct behavior ratings (DBRs), to gather information about students' behaviors for the purposes of making decisions related to diagnosis and classroom management or behavioral feedback respectively. Observers use SBOs…
Descriptors: Student Behavior, Classroom Observation Techniques, Behavior Rating Scales, Behavior Patterns
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Brandon Sepulvado; Jennifer Hamilton – Society for Research on Educational Effectiveness, 2021
Background: Traditional survey efforts to gather outcome data at scale have significant limitations, including cost, time, and respondent burden. This pilot study explored new and innovative large-scale methods of collecting and validating data from publicly available sources. Taking advantage of emerging data science techniques, we leverage…
Descriptors: Automation, Data Collection, Data Analysis, Validity
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Beardsley, Marc; Martínez Moreno, Judit; Vujovic, Milica; Santos, Patricia; Hernández-Leo, Davinia – British Journal of Educational Technology, 2020
Advances in the field of multimodal learning analytics (MMLA) research is often accomplished by actively exploring new technologies and techniques related to the collection and analysis of data. Exploration of ethical principles and procedures for governing the use of new technologies and techniques, however, is not as readily pursued. As…
Descriptors: Records (Forms), Decision Making, Data Collection, Learning Analytics
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Guo, Lina – Waikato Journal of Education, 2020
Prior to the COVID-19 pandemic, Chinese students studying in doctoral and postgraduate programmes outside of China numbered over 600,000 (2017). A number of these students may return to China to gather data. This article explores tensions between compliance with the bounds of formal ethical approval and further research opportunities that may…
Descriptors: Data Collection, Foreign Countries, Doctoral Students, Ethics
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Dexter, Sara; Francisco, Aubrey; Luke Luna, Christina – Journal of Educational Administration, 2021
Purpose: The purpose of this study was to better understand K-12 district leaders' reasoning and processes for selecting and deploying EdTech instructional products, including which, if any, types of data are used to support decision-making. Design/methodology/approach: This multisite case study of educational technology (EdTech) decision-making…
Descriptors: Educational Technology, Decision Making, Selection, Purchasing
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