NotesFAQContact Us
Collection
Advanced
Search Tips
Audience
Laws, Policies, & Programs
Every Student Succeeds Act…2
What Works Clearinghouse Rating
Showing all 6 results Save | Export
Ruedel, Kristin; Nelson, Gena; Bailey, Tessie – National Center for Systemic Improvement at WestEd, 2018
To evaluate interim progress toward the State-identified Measurable Result (SIMR), states require access to high-quality data from local education agencies (LEAs) and early intervention service providers. In a review of 2017 Phase III State Systemic Improvement Plans (SSIP), 43 Part C states noted limitations or concerns related to data and…
Descriptors: Fidelity, Data Collection, State Standards, Barriers
Mehrotra, Sarah; Morgan, Ivy S.; Socol, Allison – Education Trust, 2021
While new teachers bring energy and passion into their classrooms and schools, they can find themselves incredibly challenged as they learn how to plan and implement lessons, collect and use data to inform their instructional practices, build relationships with students and families, manage classroom behavior, and meet the varying academic,…
Descriptors: African American Students, Experienced Teachers, Educational Quality, Teacher Competencies
Mehrotra, Sarah; Morgan, Ivy S.; Socol, Allison – Education Trust, 2021
While new teachers bring energy and passion into their classrooms and schools, they can find themselves incredibly challenged as they learn how to plan and implement lessons, collect, and use data to inform their instructional practices, build relationships with students and families, manage classroom behavior, and meet the varying academic,…
Descriptors: Experienced Teachers, Educational Quality, Teacher Competencies, Beginning Teachers
Krugly, Andrew; Stein, Amanda; Centeno, Maribel G. – ZERO TO THREE, 2014
Data-based decision making should be the driving force in any early care and education setting. Data usage compels early childhood practitioners and leaders to make decisions on the basis of more than just professional instinct. This article explores why early childhood schools should be using data for continuous quality improvement at various…
Descriptors: Data, Decision Making, Early Childhood Education, Educational Quality
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Clements, Margaret; Pazzaglia, Angela M.; Stafford, Erin – Regional Educational Laboratory Midwest, 2015
This "Stated Briefly" report is a companion piece that summarizes the results of another report of the same name. The purpose of the study conducted by REL Midwest in partnership with the Midwest Virtual Education Research Alliance was to develop and administer a survey to describe online course use in Iowa and Wisconsin brick-and-mortar…
Descriptors: Online Courses, Public Schools, State Surveys, Use Studies
Australian Council for Educational Research, 2015
Monitoring Trends in Educational Growth (MTEG) offers a flexible, collaborative approach to developing and implementing an assessment of learning outcomes that yields high-quality, nationally relevant data. MTEG is a service that involves ACER staff working closely with each country to develop an assessment program that meets the country's…
Descriptors: Educational Development, Educational Trends, Progress Monitoring, Educational Quality