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Chow, Jason C.; Sandbank, Micheal; Hampton, Lauren H. – Journal of Speech, Language, and Hearing Research, 2023
Meta-analyses can be used to comprehensively summarize the state of a given literature base, understand development and relations between constructs, and synthesize intervention effects to identify "what works for whom," all of which can directly inform research, practice, and policy. In this tutorial, we first argue that data reporting…
Descriptors: Data Use, Usability, Meta Analysis, Educational Research
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
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
National Center for Systemic Improvement at WestEd, 2023
A key responsibility of state education agencies (SEAs) under the Individuals with Disabilities Education Act (IDEA) is to monitor local education agency (LEA) implementation of the law (34 C.F.R. ยง 300.600-604). This Fast Five details five principles (plus one!) that we recommend SEAs incorporate as part of their LEA monitoring.
Descriptors: Equal Education, Students with Disabilities, Federal Legislation, State Departments of Education
Hillman, Velislava – Learning, Media and Technology, 2023
The need for a comprehensive education data governance -- the regulation of who collects what data, how it is used and why -- continues to grow. Technologically, data can be collected by third parties, rendering schools unable to control their use. Legal frameworks partially achieve data governance as businesses continue to exploit existing…
Descriptors: Data Collection, Governance, Data Use, Laws
Hui, Bowen – International Journal of Information and Learning Technology, 2022
Purpose: The purpose of this work is to illustrate the processes involved in managing teams in order to assist designers and developers to build software that support teamwork. A deeper investigation into the role of team analytics is discussed in this article. Design/methodology/approach: Many researchers over the past several decades studied the…
Descriptors: Design, Guidelines, Research Needs, Teamwork
Vasquez, Andrea – MDRC, 2020
Millions of students leave college every year before earning a degree. At community colleges, only a third of full-time students graduate within three years. How can school administrators help students stay in school and eventually graduate? Higher education institutions commonly offer students advising services to help them develop the academic…
Descriptors: Community Colleges, Two Year College Students, Program Design, Academic Advising
Rivera, Roberto; Marazzi, Mario; Torres-Saavedra, Pedro A. – Journal of Statistics Education, 2019
The 2016 Guidelines for Assessment and Instruction in Statistics Education (GAISE) College Report emphasized six recommendations to teach introductory courses in statistics. Among them: use of real data with context and purpose. Many educators have created databases consisting of multiple datasets for use in class; sometimes making hundreds of…
Descriptors: Introductory Courses, Statistics, Guidelines, Mathematics Instruction
Vasquez, Andrea; Scrivener, Susan – MDRC, 2020
Colleges support students with advising, counseling, or coaching in academics and other skills they need to succeed in school. Some colleges enhance those services through reduced adviser caseloads and more comprehensive, frequent guidance, which can improve students' semester-to-semester retention and average credits earned. This overview…
Descriptors: Program Design, Academic Advising, Academic Support Services, Community Colleges
Gonzalez, Naihobe; Alberty, Elizabeth; Brockman, Stacey; Nguyen, Tutrang; Johnson, Matthew; Bond, Sheldon; O'Connell, Krista; Corriveau, Adrianna; Shoji, Megan; Streeter, Megan; Engle, Jennifer; Goodly, Chelsea; Neely, Adrian N.; White, Mary Aleta; Anderson, Mindelyn; Matthews, Channing; Mason, Leana; Means, Sheryl Felecia – Mathematica, 2022
The Education-to-Workforce Indicator Framework (E-W Framework), commissioned by the Bill & Melinda Gates Foundation and developed in partnership with leading experts representing more than 15 national and community organizations, is designed to encourage greater cross-sector collaboration and alignment across local, state, and national data…
Descriptors: Education Work Relationship, Evidence Based Practice, Student Characteristics, Partnerships in Education
National Center on Accessible Educational Materials, 2020
The purpose of the National AEM Center's Quality Indicators with Critical Components for Higher Education is to assist institutes of higher education, both at the system and campus level, with planning, implementing, and evaluating dynamic, coordinated systems for providing accessible materials and technologies for all students who need them. The…
Descriptors: Higher Education, Instructional Materials, Accessibility (for Disabled), Educational Quality

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