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Watkins, Correy; Hornak, Rebekah – State Implementation and Scaling-up of Evidence-based Practices Center, 2022
Fidelity is defined as doing what is intended. The purpose of measuring fidelity is to assist with supporting implementation. Collecting fidelity data provides an opportunity to problem-solve throughout the process versus waiting for outcome data. More often than not, purchased programs and curriculum materials are missing a research-validated…
Descriptors: Fidelity, Program Implementation, Evaluation Methods, Observation
Jessica R. Toste; Marissa J. Filderman; Nathan H. Clemens; Erica Fry – Journal of Learning Disabilities, 2025
Data-based instruction (DBI) is a process in which teachers use progress data to make ongoing instructional decisions for students with learning disabilities. Curriculum-based measurement (CBM) is a common form of progress monitoring, and CBM data are placed on a graph to guide decision-making. Despite the central role that graph interpretation…
Descriptors: Preservice Teachers, Data Use, Decision Making, Progress Monitoring
Hicks, Sarah; Behary, R. – Journal of Access Services, 2020
The purpose of this study is to contribute to the establishment of metrics that can be used by libraries to analyze, anticipate, and plan for resource allocation for specialized print-based collections within an academic library. In the context of transactions associated with the circulation of library materials, that is checkouts, renewals, and…
Descriptors: Library Materials, Library Services, Special Libraries, Academic Libraries
Abbie Raikes – Journal of Research in Childhood Education, 2024
As countries make continued investments in early childhood care and education (ECCE) systems, data and measurement play a critical role in outlining strengths and areas for improvement. To promote data-driven decision-making across all levels of early childhood systems, measurement must be valid, reliable, and feasible, especially when used at…
Descriptors: Early Childhood Education, Data Use, Decision Making, Child Care
Blair, Morgan; Zanidean, Alex – Strategic Enrollment Management Quarterly, 2020
Data interpretation can be difficult. Data visualization techniques from the manufacturing industry make interpretation easier. Control charts display trends in context, so it is clear when performance is truly changing and when it is not. Decision makers know when to act, when to maintain, and when to celebrate. This article discusses the use of…
Descriptors: Enrollment Management, Decision Making, Data Interpretation, Visualization
Center for IDEA Early Childhood Data Systems (DaSy), 2019
The long-term goal of the State Systemic Improvement Plan (SSIP) and other federal and state early intervention and early childhood education initiatives is improved child and family outcomes. States play a critical role in supporting practitioners in the use of evidence-based practices to improve child and family outcomes. When practitioners…
Descriptors: Evidence Based Practice, Early Intervention, Early Childhood Education, Data Collection
Elizabeth Talbott; Andres De Los Reyes; Devin M. Kearns; Jeannette Mancilla-Martinez; Mo Wang – Exceptional Children, 2023
Evidence-based assessment (EBA) requires that investigators employ scientific theories and research findings to guide decisions about what domains to measure, how and when to measure them, and how to make decisions and interpret results. To implement EBA, investigators need high-quality assessment tools along with evidence-based processes. We…
Descriptors: Evidence Based Practice, Evaluation Methods, Special Education, Educational Research
Kerry Elliott; Hilary Hollingsworth – Australian Council for Educational Research, 2023
Collective efficacy has become a prominent feature in educational policy and practice with growing evidence that a strong sense of collective efficacy amongst educators leads to better outcomes for students. With growing interest in the importance of collective efficacy and how to cultivate it, the Collective Efficacy Tracking Tool was created to…
Descriptors: School Effectiveness, Teacher Effectiveness, Group Dynamics, Trust (Psychology)
Unal, Aslihan; Unal, Zafer – Journal of Research in Education, 2021
While teacher education programs are required to place preservice teachers in diverse schools/classrooms, the conceptualization and measurement of diversity remains a challenge. One of the primary methods for developing teachers so that they can capably work with diverse student populations is to provide field experiences that place teacher…
Descriptors: Diversity (Institutional), Student Placement, Student Teachers, Data Use
Barneva, Reneta P.; Brimkov, Valentin E.; Walters, Lisa M. – Journal of Educational Technology Systems, 2018
In all areas of human activity, decision-making based on data analysis is very important. As the availability of data grows, it becomes critical to educate not only traditional students but also those individuals who are now in the workforce, as many of them are expected to manage the complex data streams and to provide evidence and guidance for…
Descriptors: Decision Making, Data Analysis, Visualization, Measurement Techniques
Dindar, Muhterem; Järvelä, Sanna; Haataja, Eetu – British Journal of Educational Technology, 2020
There is a growing body of research on physiological synchrony (PS) in Collaborative Problem Solving (CPS). However, the current literature presents inconclusive findings about the way in which PS is reflected in cognitive and affective group processes and performance. In light of this, this study investigates the relationship between PS and…
Descriptors: College Students, Metacognition, Physiology, Problem Solving
Crick, Ruth Deakin; Knight, Simon; Barr, Steven – Journal of Learning Analytics, 2017
Central to the mission of most educational institutions is the task of preparing the next generation of citizens to contribute to society. Schools, colleges, and universities value a range of outcomes--e.g., problem solving, creativity, collaboration, citizenship, service to community--as well as academic outcomes in traditional subjects. Often…
Descriptors: Educational Improvement, Holistic Approach, Data Collection, Data Analysis
Martínez Abad, Fernando; Chaparro Caso López, Alicia A. – School Effectiveness and School Improvement, 2017
In light of the emergence of statistical analysis techniques based on data mining in education sciences, and the potential they offer to detect non-trivial information in large databases, this paper presents a procedure used to detect factors linked to academic achievement in large-scale assessments. The study is based on a non-experimental,…
Descriptors: Foreign Countries, Data Collection, Statistical Analysis, Evaluation Methods
Trawick-Smith, Joseph; Miles, Karen Hawley – Education Resource Strategies, 2020
With the new school year now well under way, staff, students and families are still in desperate need of a clear strategic direction and set of tools for promoting equity and excellence in a moment of crisis. Nationally, we see school systems stepping up in new ways to provide this clarity, and seizing the moment afforded by these unusual…
Descriptors: Systems Approach, Pandemics, COVID-19, Equal Education
Rhode Island Department of Education, 2019
Rhode Island is committed to ensuring that all educators receive fair, accurate, and meaningful educator evaluations that provide information that can help all teachers improve and refine their practice. Currently, districts in Rhode Island may submit a district-designed model for approval that complies with the Educator Evaluation System…
Descriptors: Guides, Evaluation Methods, Public Schools, Educational Objectives

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