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Alexandra M. Pierce; Melissa A. Collier-Meek; Thea R. Bucherbeam; Lisa M. H. Sanetti – Communique, 2024
Students cannot experience the full potential benefits of an intervention unless they are receiving the intervention. This is the second installment in a three-part series on intervention fidelity designed to highlight the importance of ensuring classroom supports are implemented as intended. This article provides guidance related to measuring and…
Descriptors: Data Use, Decision Making, Intervention, Fidelity
National Forum on Education Statistics, 2023
This forum guide was developed to meet the need for common, widely understood, standardized course codes. The purpose of this guide is to introduce the voluntary School Courses for the Exchange of Data (SCED) classification system, including information on the structure of SCED codes, the process for ensuring that SCED remains up to date and…
Descriptors: Courses, Classification, Coding, Data
Isaac, James; Velez, Erin; Roberson, Amanda Janice – Institute for Higher Education Policy, 2023
Students, families, colleges, and lawmakers need clearer information on postsecondary outcomes to make informed decisions. By leveraging data available at institutions and federal agencies, a nationwide student-level data network (SLDN) would close information gaps that persist in our higher education landscape to answer critical questions about…
Descriptors: College Students, Data, Information Networks, Program Design
National Center on Accessible Educational Materials, 2024
In early childhood education, ensuring that all students, including those with disabilities, can access and engage with learning materials is a pivotal aspect of educational equity and inclusion. Accessible Educational Materials (AEM) and Assistive Technologies (AT) are central to this endeavor, providing essential resources that accommodate…
Descriptors: Access to Education, Instructional Materials, Assistive Technology, Early Childhood Education
Morris, Kelsey; Lewis, Timothy; Mitchell, Barb – Center on Positive Behavioral Interventions and Supports, 2022
This brief provides district PBIS [positive behavioral interventions and supports] leadership teams a framework to examine school-level fidelity and self-assessment data to guide resource, professional development, and technical assistance decision making.
Descriptors: School Districts, Data Use, Data Analysis, Fidelity
Ohio Department of Education, 2023
State law requires that Ohio's superintendent of public instruction annually report on the status of implementation of special education and related services for children with disabilities. This includes the number of children identified with disabilities and the number of identified children receiving services. The Ohio Department of Education…
Descriptors: Children, Disabilities, Special Education, Program Implementation
Zachary Weingarten; Amy Peterson; Kyle Allen – National Center on Intensive Intervention, 2023
Readiness for change is an important factor in successful implementation and scale-up of a new practice or program in schools. The process of assessing and developing readiness for change is a key feature of the Exploration Stage, which is the first of four implementation stages identified by the Active Implementation Research Network. Data-based…
Descriptors: Data Use, Intervention, Individualized Instruction, Student Needs
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Barrett, Courtenay A. – Journal of Educational and Psychological Consultation, 2021
Coaching has been widely implemented to support the delivery of evidence-based practices in schools. Although coaching is effective in rigorous research studies, scholars question the effective translation of coaching in authentic schools. Data systems that monitor the fidelity and impact of coaching offer one solution to address three…
Descriptors: Coaching (Performance), Systems Approach, Information Systems, Fidelity
Hollands, Fiona M.; Pratt-Williams, Jaunelle; Shand, Robert – Grantee Submission, 2021
The purpose of these guidelines is to support the execution of cost analysis and cost-effectiveness analysis of educational programs. The steps involved in conducting a cost analysis are presented in four stages with explicit examples used throughout: designing your cost analysis, collecting cost data using the ingredients method, analyzing cost…
Descriptors: Cost Effectiveness, Educational Finance, Standards, Guidelines
Morris, Kelsey; Feinberg, Adam – Center on Positive Behavioral Interventions and Supports, 2022
Prioritizing social, emotional, and behavioral supports is essential for student success. By establishing systems to support students' social (how they interact), emotional (how they feel), and behavioral (how they act) needs and growth, educators and leaders can ensure that all students have full access to instruction and the essential skills for…
Descriptors: Fidelity, Data Collection, Positive Behavior Supports, Multi Tiered Systems of Support
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Sanetti, Lisa M. H.; Cook, Bryan G.; Cook, Lysandra – Learning Disabilities Research & Practice, 2021
Treatment fidelity refers to the extent to which an intervention is implemented as planned. If researchers do not assess and report treatment fidelity, or if treatment fidelity is shown to be low, findings from intervention studies are difficult to interpret, because the intervention may not have been implemented as planned. In this article, our…
Descriptors: Fidelity, Intervention, Program Implementation, Data Interpretation
Complete College America, 2022
"Beyond Good Intentions" provides a guide for states to craft equity-driven policies that are specific, actionable, measurable and well funded. It outlines four major steps states should take when considering and creating new policy: (1) Examine the Data to Set the Goal for the Policy: Specific types of data to consider when identifying…
Descriptors: State Policy, Educational Policy, Equal Education, Data
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Gray, Cameron C.; Perkins, Dave; Ritsos, Panagiotis D. – Assessment & Evaluation in Higher Education, 2020
The field of learning analytics is progressing at a rapid rate. New tools, with ever-increasing number of features and a plethora of datasets that are increasingly utilized demonstrate the evolution and multifaceted nature of the field. In particular, the depth and scope of insight that can be gleaned from analysing related datasets can have a…
Descriptors: Educational Research, Data Collection, Data Analysis, Visual Aids
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
Marx, Teri; Peterson, Amy; Arden, Sarah – National Center on Intensive Intervention, 2020
During spring 2020, educators quickly adapted to providing interventions and collecting data virtually despite the challenges of the COVID-19 pandemic. Parents were critical partners in supporting opportunities for students with intensive needs to data-based individualization (DBI) Process practice and receive feedback and sharing what was working…
Descriptors: COVID-19, Pandemics, Individualized Instruction, Data Use
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