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Direct linkKerstin Löf Catini; Susanne Westman; Eva Alerby – Policy Futures in Education, 2024
Public pressure on evaluation has influenced educational projects and national evaluation systems for many decades. This article extends the ongoing discussions in the field, offering a problematising exploration of evaluation as an educational policy phenomenon, thinking with the notion of rhythm in the analysis. Approaching educational…
Descriptors: Educational Assessment, Educational Policy, Educational Philosophy, Educational Research
Swanson, Loraine; Menon, Meera; Minogue, Amber; Russell, Rebecca; Berns, Scott – Infants and Young Children, 2023
Given the proportion of young children experiencing disadvantages in achieving optimal health due to inequities related to race, place, and income, there is increasing attention to developing effective early childhood (EC) systems. As EC leaders embrace methods such as collective impact in driving systems change, there is a growing recognition…
Descriptors: Early Childhood Education, Program Evaluation, Program Improvement, Educational Innovation
Download full textMathematica, 2022
Researchers, federal and state policy leaders and administrators, and center directors all seek to understand what drives high quality Early Care and Education (ECE). The Assessing the Implementation and Cost of High Quality Early Care and Education, or ICHQ (pronounced I-check) project, led by Mathematica and funded by the Office of Planning,…
Descriptors: Program Evaluation, Educational Quality, Early Childhood Education, Child Care
Mathematica, 2022
A growing body of research demonstrating the benefits of high quality early care and education (ECE) programs for young children, particularly those in families with low incomes, has inspired a strong commitment from both federal and state officials to improve the quality of ECE programs nationwide. Policymakers, administrators, and program and…
Descriptors: Program Implementation, Program Costs, Early Childhood Education, Educational Quality
Ly, Chu N.; Forzani, Elena E. – Reading Teacher, 2023
Many children bring rich multimodal literacy practices into their classrooms, with experience weaving between paper and digital texts. In order to support children's multimodal meaning making, teachers need first to understand the multimodal practices that children bring into the classroom in order to then develop instruction that builds on, and…
Descriptors: Multiple Literacies, Multilingual Materials, Printed Materials, Nonprint Media
Emily C. Hanno; Ximena A. Portilla; JoAnn Hsueh – Child Development Perspectives, 2025
In this article, we adopt culturally relevant perspectives on developmental science that acknowledge and value the diversity of backgrounds and experiences of young children and their families to identify opportunities to advance the measurement of early childhood development. We focus on direct child assessments that can drive more equitable…
Descriptors: Young Children, Child Development, Equal Education, Evaluation Methods
Pushparatnam, Adelle; Seiden, Jonathan; Luna-Bazaldua, Diego – World Bank, 2022
A growing understanding of the importance of children's earliest years has led to an increasing desire to measure early childhood development (ECD) outcomes. There are now nearly 150 tools for measuring ECD outcomes internationally, which can make it challenging to choose an appropriate measurement tool for a given measurement effort. This…
Descriptors: Outcomes of Education, Evaluation Methods, Early Childhood Education, Population Groups
Calo, Kristine M. – Journal of Early Childhood Teacher Education, 2022
A large body of research literature suggests that quality formative assessment has the potential to promote positive outcomes for young children. This paper posits that early childhood educators learn how to use developmentally appropriate assessment practices to effectively assess young children and use these data to make decisions that matter…
Descriptors: Preservice Teachers, Early Childhood Education, Formative Evaluation, Young Children
Christina Weiland; Rebecca Unterman; Susan Dynarski; Rachel Abenavoli; Howard Bloom; Breno Braga; Anne-Marie Faria; Erica Greenberg; Brian A. Jacob; Jane Arnold Lincove; Karen Manship; Meghan McCormick; Luke Miratrix; Tomás E. Monarrez; Pamela Morris-Perez; Anna Shapiro; Jon Valant; Lindsay Weixler – Grantee Submission, 2024
Lottery-based identification strategies offer potential for generating the next generation of evidence on U.S. early education programs. The authors' collaborative network of five research teams applying this design in early education settings and methods experts has identified six challenges that need to be carefully considered in this next…
Descriptors: Early Childhood Education, Program Evaluation, Evaluation Methods, Admission (School)
Christina Weiland; Rebecca Unterman; Susan Dynarski; Rachel Abenavoli; Howard Bloom; Breno Braga; Anne-Marie Faria; Erica Greenberg; Brian A. Jacob; Jane Arnold Lincove; Karen Manship; Meghan McCormick; Luke Miratrix; Tomás E. Monarrez; Pamela Morris-Perez; Anna Shapiro; Jon Valant; Lindsay Weixler – AERA Open, 2024
Lottery-based identification strategies offer potential for generating the next generation of evidence on U.S. early education programs. The authors' collaborative network of five research teams applying this design in early education settings and methods experts has identified six challenges that need to be carefully considered in this next…
Descriptors: Early Childhood Education, Program Evaluation, Evaluation Methods, Admission (School)
Shi, Dingjing; Tong, Xin – Sociological Methods & Research, 2022
This study proposes a two-stage causal modeling with instrumental variables to mitigate selection bias, provide correct standard error estimates, and address nonnormal and missing data issues simultaneously. Bayesian methods are used for model estimation. Robust methods with Student's "t" distributions are used to account for nonnormal…
Descriptors: Bayesian Statistics, Monte Carlo Methods, Computer Software, Causal Models
Talan, Teri N.; Bella, Jill M.; Bloom, Paula Jorde – Teachers College Press, 2022
The "Program Administration Scale" (PAS) is designed to reliably measure and improve the leadership and management practices of center-based programs--the only instrument of its kind to focus exclusively on organization-wide administrative issues. In the third edition, the authors share updated information supporting the reliability and…
Descriptors: Program Administration, Evaluation Methods, Leadership, Early Childhood Education
Christina Weiland; Rebecca Unterman; Susan Dynarski; Rachel Abenavoli; Howard Bloom; Breno Braga; Anne-Marie Faria; Erica Greenberg; Brian Jacob; Jane Arnold Lincove; Karen Manship; Meghan McCormick; Luke Miratrix; Tomás E. Monarrez; Pamela Morris-Perez; Anna Shapiro; Jon Valant; Lindsay Weixler – Annenberg Institute for School Reform at Brown University, 2023
Lottery-based identification strategies offer potential for generating the next generation of evidence on U.S. early education programs. Our collaborative network of five research teams applying this design in early education and methods experts has identified six challenges that need to be carefully considered in this next context: (1) available…
Descriptors: Early Childhood Education, Program Evaluation, Evaluation Methods, Admission (School)
National Center for the Improvement of Educational Assessment, 2025
State leaders have long recognized the value of statewide tests. Many had well-developed testing systems long before the No Child Left Behind Act, signed in 2002, required annual assessments in grades 3-8. Another sign of that recognition is the recent plethora of new state testing requirements for K-3 students. But would states continue to test…
Descriptors: Federal Legislation, Educational Legislation, Measurement, State Government
Jacob Whitehill; Jennifer LoCasale-Crouch – Journal of Educational Data Mining, 2024
With the aim to provide teachers with more specific, frequent, and actionable feedback about their teaching, we explore how Large Language Models (LLMs) can be used to estimate "Instructional Support" domain scores of the CLassroom Assessment Scoring System (CLASS), a widely used observation protocol. We design a machine learning…
Descriptors: Artificial Intelligence, Teacher Evaluation, Models, Transcripts (Written Records)
