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Kaitlyn G. Fitzgerald; Elizabeth Tipton – Grantee Submission, 2023
The evidence-based decision-making movement often assumes that once evidence is available (e.g., via the What Works Clearinghouse), decision-makers will integrate it into their practice. Research-practice partnership studies have shown this is not always true. In this paper, we argue that instead of assuming research will be useful and used, we…
Descriptors: Evidence Based Practice, Decision Making, Statistics, Educational Research
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Toluchuri Shalini Shanker Rao; Kaushal Kumar Bhagat – Educational Technology Research and Development, 2024
Computational thinking (CT) has received growing interest as a research subject in the last decade, with research contributions attempting to capitalize on the benefits that CT may provide. This study included a systematic analysis aimed at revealing current trends in the CT subject, identifying educational interventions, and emerging assessment…
Descriptors: Computation, Thinking Skills, Educational Research, Skill Development
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Alexander Rushforth; Sarah De Rijcke – Research Evaluation, 2024
Recent times have seen the growth in the number and scope of interacting professional reform movements in science, centered on themes such as open research, research integrity, responsible research assessment, and responsible metrics. The responsible metrics movement identifies the growing influence of quantitative performance indicators as a…
Descriptors: College Faculty, Teacher Selection, Faculty Promotion, Tenure
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John Deke; Mariel Finucane; Dan Thal – Society for Research on Educational Effectiveness, 2022
Background/Context: Methodological background: Meta-analysis typically depends on the assumption that true effects follow the normal distribution. While assuming normality of effect "estimates" is often supported by a central limit theorem, normality for the distribution of interventions' "true" effects is a computational…
Descriptors: Bayesian Statistics, Meta Analysis, Regression (Statistics), Research Design
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Ritoša, Andrea; Åström, Frida; Björck, Eva; Borglund, Lisa; Karlsson, Elin; McHugh, Elaine; Nylander, Elisabeth – Educational Psychology Review, 2023
The purpose of this scoping review was to explore operationalizations and related conceptualizations of young children's engagement in early childhood education and care (ECEC) settings. The literature search was conducted in March 2021 across ERIC, PsycINFO, Scopus, and Web of Science databases, with the aim of identifying studies where child…
Descriptors: Early Childhood Education, Young Children, Student Participation, Learner Engagement
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McKevett, Nicole M.; Codding, Robin S. – Assessment for Effective Intervention, 2021
Brief experimental analysis (BEA) is a quick method used to identify the function of student learning difficulties and match effective interventions to students' needs. Extensive work has been done to explore the use of this methodology to determine effective reading interventions; however, a smaller number of published studies have examined the…
Descriptors: Intervention, Mathematics Instruction, Evaluation Methods, Student Evaluation
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Abdullah Alamer; Florian Schuberth; Jörg Henseler – Studies in Second Language Acquisition, 2024
Researchers in second language (L2) and education domain use different statistical methods to assess their constructs of interest. Many L2 constructs emerge from elements/parts, i.e., the elements "define" and "form" the construct and not the other way around. These constructs are referred to as emergent variables (also called…
Descriptors: Factor Analysis, Factor Structure, Second Language Learning, Language Research
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Wendy Chan; Jimin Oh; Katherine Wilson – Society for Research on Educational Effectiveness, 2022
Background: Over the past decade, research on the development and assessment of tools to improve the generalizability of experimental findings has grown extensively (Tipton & Olsen, 2018). However, many experimental studies in education are based on small samples, which may include 30-70 schools while inference populations to which…
Descriptors: Educational Research, Research Problems, Sample Size, Research Methodology
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Agostino Marengo; Alessandro Pagano; Jenny Pange; Kamal Ahmed Soomro – Interactive Technology and Smart Education, 2024
Purpose: This paper aims to consolidate empirical studies between 2013 and 2022 to investigate the impact of artificial intelligence (AI) in higher education. It aims to examine published research characteristics and provide insights into the promises and challenges of AI integration in academia. Design/methodology/approach: A systematic…
Descriptors: Literature Reviews, Artificial Intelligence, Technology Uses in Education, Higher Education
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Douglas B. Downey – Review of Educational Research, 2024
A small subset of education studies analyzes school data collected seasonally (separating the summer from the school year). At first, this work was primarily known for documenting learning loss in the summers, but scholars have since recognized that observing how inequality changes between summer and school periods provides leverage for…
Descriptors: Data Collection, Educational Research, Learning Analytics, Cognitive Ability
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Clare Baek; Tenzin Doleck – Knowledge Management & E-Learning, 2024
We examined how Learning Analytics literature represents participants from diverse societies by comparing the studies published with samples from WEIRD (Western, Industrialized, Rich, Democratic) nations versus non-WEIRD nations. By analyzing the Learning Analytics studies published during 2015-2019 (N = 360), we found that most of the studies…
Descriptors: Learning Analytics, Educational Research, Sample Size, Literature Reviews
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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)
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Adhi Indra Hermanu; Diana Sari; Merry Citra Sondari; Muhammad Dimyati – Cogent Education, 2024
The study aims to investigate the mediating role of output, productivity, and outcome variables in the relationship between input or process variables and research performance. By examining how these variables interact, the study aims to enhance our understanding of the factors that influence research performance. This role was investigated using…
Descriptors: Mediation Theory, Models, Input Output Analysis, Productivity
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George Kinnear; Ian Jones; Chris Sangwin; Maryam Alarfaj; Ben Davies; Sam Fearn; Colin Foster; André Heck; Karen Henderson; Tim Hunt; Paola Iannone; Igor' Kontorovich; Niclas Larson; Tim Lowe; John Christopher Meyer; Ann O'Shea; Peter Rowlett; Indunil Sikurajapathi; Thomas Wong – International Journal of Research in Undergraduate Mathematics Education, 2024
This paper describes the collaborative development of an agenda for research on e-assessment in undergraduate mathematics. We built on an established approach to develop the agenda from the contributions of 22 mathematics education researchers, university teachers and learning technologists interested in this topic. The resulting set of 55…
Descriptors: Foreign Countries, Undergraduate Study, College Mathematics, Electronic Learning
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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)
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