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Danielle Sanderson Edwards; Matthew A. Kraft; Alvin Christian; Christopher A. Candelaria – Annenberg Institute for School Reform at Brown University, 2023
We develop a unifying conceptual framework for understanding and predicting teacher shortages at the state, region, district, and school levels. We then generate and test hypotheses about geographic and subject variation in teacher shortages using data on unfilled teaching positions in Tennessee during the fall of 2019. We find that teacher…
Descriptors: Teacher Shortage, Faculty Mobility, Predictor Variables, Public School Teachers
Xu Qin; Lijuan Wang – Grantee Submission, 2023
Research questions regarding how, for whom, and where a treatment achieves its effect on an outcome have become increasingly valued in substantive research. Such questions can be answered by causal moderated mediation analysis, which assesses the heterogeneity of the mediation mechanism underlying the treatment effect across individual and…
Descriptors: Causal Models, Mediation Theory, Computer Software, Statistical Analysis
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Soojung Park; Taeyeon Kim; Minseok Yang – Journal of Educational Change, 2025
This study investigates recent discourse on "learning gaps" through the lens of Korean teachers' perspectives. Drawing on ecological systems theory and Confucian influences on East Asian education, we analyzed interviews with 24 Korean teachers to explore their perceptions of pandemic-induced learning disparities and their root causes.…
Descriptors: Academic Achievement, Achievement Gap, Discourse Analysis, Foreign Countries
Kaplan, Avi; Cromley, Jennifer; Perez, Tony; Dai, Ting; Mara, Kyle; Balsai, Michael – Educational Researcher, 2020
In this commentary, we complement other constructive critiques of educational randomized control trials (RCTs) by calling attention to the commonly ignored role of context in causal mechanisms undergirding educational phenomena. We argue that evidence for the central role of context in causal mechanisms challenges the assumption that RCT findings…
Descriptors: Context Effect, Educational Research, Randomized Controlled Trials, Causal Models
Kaplan, Avi; Cromley, Jennifer; Perez, Tony; Dai, Ting; Mara, Kyle; Balsai, Michael – Grantee Submission, 2020
In this commentary, we complement other constructive critiques of educational randomized control trials (RCTs) by calling attention to the commonly ignored role of context in causal mechanisms undergirding educational phenomena. We argue that evidence for the central role of context in causal mechanisms challenges the assumption that RCT findings…
Descriptors: Context Effect, Educational Research, Randomized Controlled Trials, Causal Models
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Alexandra O. Cohen; Kate Nussenbaum; Hayley M. Dorfman; Samuel J. Gershman; Catherine A. Hartley – npj Science of Learning, 2020
Beliefs about the controllability of positive or negative events in the environment can shape learning throughout the lifespan. Previous research has shown that adults' learning is modulated by beliefs about the causal structure of the environment such that they update their value estimates to a lesser extent when the outcomes can be attributed to…
Descriptors: Children, Adolescents, Young Adults, Reinforcement
Takeshi Terada – ProQuest LLC, 2021
Since the No Child Left Behind (NCLB) Act required classifications of students' performance levels, test scores have been used to measure students' achievement; in particular, test scores are used to determine whether students reach a proficiency level in the state assessment. Accordingly, school districts have started using benchmark assessments…
Descriptors: State Standards, Progress Monitoring, Achievement Gains, Cutting Scores
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Fatimah Alhashem; Ibrahim Alhouti – International Perspectives on Education and Society, 2021
Education reform has increasingly become a top political priority in most countries, as education is thought to be the solution to social and economic challenges. While some of these reforms were successful, others had no impact at all and ended in failure. In the past two decades, Kuwait has continuously attempted to reform its education system,…
Descriptors: Educational Change, Foreign Countries, Educational Trends, Trend Analysis
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Maurício Pietrocola; Samuel Schnorr; Ernani Rodrigues – Research in Science Education, 2025
Contemporary science education themes are marked by the inevitable uncertainty of consequences emerging from human actions. They encompass disasters, pandemics and other events that have been marking our present times. Understanding new risks as the ones resulting from human action, even when proposing a solution for an issue, is one of the…
Descriptors: Science Education, Risk, Futures (of Society), Ambiguity (Context)
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Zeynivandnezhad, Fereshteh; Asgharzadeh, Nasrin; Fernández, Ramón Emilio – International Journal for Technology in Mathematics Education, 2023
The applicability of digital technologies is increasing boundlessly and so are the opportunities of the end-users, with ample opportunities to embed these technologies in the teaching and learning process. Nonetheless, classroom adoption of technologies, particularly in mathematics remains on the lower end of innovation in teaching and learning.…
Descriptors: Foreign Countries, High Schools, Mathematics Teachers, Pedagogical Content Knowledge
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Sangsurin, Kantawan; Chusorn, Prayuth; Agsonsua, Pha – International Journal of Higher Education, 2020
The objectives of this research were 1) to examine the causal relationship model of factors affecting the effectiveness of primary schools which was developed through empirical data, 2) to study the factors that have direct, indirect and overall influence on the effectiveness of primary schools in Khon Kaen. The samples were 640 school…
Descriptors: Causal Models, School Effectiveness, Parent School Relationship, Foreign Countries
K. L. Anglin; A. Krishnamachari; V. Wong – Grantee Submission, 2020
This article reviews important statistical methods for estimating the impact of interventions on outcomes in education settings, particularly programs that are implemented in field, rather than laboratory, settings. We begin by describing the causal inference challenge for evaluating program effects. Then four research designs are discussed that…
Descriptors: Causal Models, Statistical Inference, Intervention, Program Evaluation
Pashley, Nicole E.; Miratrix, Luke W. – Journal of Educational and Behavioral Statistics, 2021
Evaluating blocked randomized experiments from a potential outcomes perspective has two primary branches of work. The first focuses on larger blocks, with multiple treatment and control units in each block. The second focuses on matched pairs, with a single treatment and control unit in each block. These literatures not only provide different…
Descriptors: Causal Models, Statistical Inference, Research Methodology, Computation
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Chen, Lujie Karen; Ramsey, Joseph; Dubrawski, Artur – Journal of Educational Data Mining, 2021
Human one-on-one coaching involves complex multimodal interactions. Successful coaching requires teachers to closely monitor students' cognitive-affective states and provide support of optimal type, timing, and amount. However, most of the existing human tutoring studies focus primarily on verbal interactions and have yet to incorporate the rich…
Descriptors: Causal Models, Coaching (Performance), Statistical Analysis, Correlation
Beth A. Perkins – ProQuest LLC, 2021
In educational contexts, students often self-select into specific interventions (e.g., courses, majors, extracurricular programming). When students self-select into an intervention, systematic group differences may impact the validity of inferences made regarding the effect of the intervention. Propensity score methods are commonly used to reduce…
Descriptors: Probability, Causal Models, Evaluation Methods, Control Groups
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