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Jaimie Stickl Haugen; Kenya G. Bledsoe; Pamela N. Harris; Sabina Razak – Professional School Counseling, 2025
School counselors are in a unique position to address inequities and systemic racism in schools by engaging in antiracist practices. Yet there is a need for practical evaluation tools to support school counselors with dismantling racism and fostering equitable school environments. We introduce the Antiracist School Counseling Checklist (ASCC) as a…
Descriptors: Racism, School Counseling, Check Lists, Self Evaluation (Individuals)
Colorado Department of Higher Education, 2024
In the 2023 report "Colorado's Longitudinal Data Landscape. Report to the Education Committees of the Colorado House of Representatives and the Colorado Senate. Statute: 23-1-141," the Colorado Department of Higher Education (CDHE) provided a detailed overview of Colorado's long history of efforts to support more connected, longitudinal…
Descriptors: Data Collection, State Legislation, Educational Legislation, Best Practices
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
John Hattie; Douglas Fisher; Nancy Frey; John Taylor Almarode – Corwin, 2024
It may seem obvious, but learning should never be implied or assumed. Learning must be explicit, evaluated and monitored; the impact of teaching on student learning should be visible. But how can we be sure? Armed with years of research that includes more than 2,100 meta-analyses, and 130,000 studies that include more than 300 million…
Descriptors: Evidence Based Practice, Data Collection, Data Use, Educational Quality
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
S. Andrew Garbacz; Devon R. Minch; Mark D. Weist – Guilford Press, 2025
Family-school collaboration has proven benefits for students' social, emotional, behavioral, and academic functioning, yet many schools struggle to create and sustain effective partnerships with families. This timely resource provides an equity-focused, culturally responsive framework for embedding family collaboration within multi-tiered systems…
Descriptors: Multi Tiered Systems of Support, Family Involvement, Family School Relationship, Culturally Relevant Education
National Forum on Education Statistics, 2025
This Forum Guide, developed by the National Forum on Education Statistics, provides best practices for collecting, managing, and using educator workforce data. It offers education agencies practical guidance on building high-quality data systems that inform teacher recruitment, retention, and professional development efforts.
Descriptors: College Readiness, Career Readiness, Data Collection, Data Use
Elliott Ostler; Tami Williams; John Schultz – School Leadership Review, 2025
In today's data-driven and data-informed educational landscape, leaders face increasing pressure to make decisions and present results based on what appear to be comprehensive statistical analyses. However, the ethical implications of these responsibilities can be complex, particularly when statistical results carry the potential to be…
Descriptors: Data Analysis, Statistical Analysis, Data Use, Ethics
Goerwitz, Richard L. – Journal of Higher Education Policy and Management, 2021
Hiring academic staff into departments and supporting them remains the single costliest activity that most institutions of higher learning engage in and requires careful, long-term, data-driven planning. This study identifies widely available (but seldom actually used) variables needed for this process: available instructional workload units and…
Descriptors: College Faculty, Faculty Workload, Best Practices, Data Use
Kerstin Wagner; Agathe Merceron; Petra Sauer; Niels Pinkwart – Journal of Educational Data Mining, 2024
In this paper, we present an extended evaluation of a course recommender system designed to support students who struggle in the first semesters of their studies and are at risk of dropping out. The system, which was developed in earlier work using a student-centered design, is based on the explainable k-nearest neighbor algorithm and recommends a…
Descriptors: At Risk Students, Algorithms, Foreign Countries, Course Selection (Students)
Susan Willey; Ivy R. White – Journal of Legal Studies Education, 2025
Businesses use facial recognition software, fingerprint scanning, and other biometric tools in the workplace and/or commercial establishments. Concerned with the collection, use, retention, and security of biometric data, and the impact of these practices, Illinois enacted the Biometric Information Privacy Act in 2008. We designed a project that…
Descriptors: Human Body, Nonverbal Communication, Recognition (Psychology), Privacy
National Forum on Education Statistics, 2025
The purpose of this document is to help education agencies identify the types of workforce data that are most useful for understanding immediate teacher shortages and monitoring educator supply and demand, as well as best practices for using these data. This resource supplements the information in the "Forum Guide to Staff Records"…
Descriptors: School Administration, Teacher Characteristics, Labor Force, Data Collection
Wolf, Baron; Hall, Terri; Robershaw, Katherine – Research Management Review, 2021
While an increased number of industries with business operations have been shaping their use of data analytics, the use of such tools and methods within the higher education research domain, specifically research administration, is still in its infancy. This mixed-methods study collected data to identify best practices in how universities and…
Descriptors: Data Analysis, Research Administration, Best Practices, Strategic Planning
Dogucu, Mine; Çetinkaya-Rundel, Mine – Journal of Statistics and Data Science Education, 2021
Best practices in statistics and data science courses include the use of real and relevant data as well as teaching the entire data science cycle starting with importing data. A rich source of real and current data is the web, where data are often presented and stored in a structure that needs some wrangling and transforming before they can be…
Descriptors: Statistics Education, Data Use, Best Practices, Data Analysis
Joshua H. Barnett – ASCD, 2024
The teacher leaders who get the best results are the ones who explore the role's full potential, but it can be a challenge to get beyond a basic understanding of the responsibilities involved. The National Institute for Excellence in Teaching (NIET) wants to make it easier. "Unleashing Teacher Leadership" presents best practices and…
Descriptors: Teacher Leadership, Leadership Effectiveness, Best Practices, Instructional Improvement

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