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Shi, Guanxue; Lu, Shanshan; Bi, Hualin – Journal of Baltic Science Education, 2023
Explaining natural phenomena by determining causal relationships is conducive to understanding scientific concepts. In science education, numerous studies examine students' causal reasoning. Given the importance of core ideas for students' understanding of how and why a phenomenon occurs, the study focused on the relationship between students'…
Descriptors: Secondary School Students, Thinking Skills, Cognitive Processes, Concept Formation
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Ton, Khanh That; Gaillard, J. C.; Adamson, Carole; Akgungor, Caglar; Ho, Ha Thanh – International Journal of Social Research Methodology, 2023
The capability approach has recently been recognised as a potential explanatory theory in disability research. However, to strengthen its explanatory power, it is argued that it should be grounded in a critical realist research paradigm. While critical realism is increasingly adopted in social inquiry, to date there remains little research that…
Descriptors: Ability, Coping, Philosophy, Causal Models
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Kadir Sain; Kurtulus Bozkurt – Educational Policy Analysis and Strategic Research, 2023
In the rapidly changing atmosphere of the global economy, productivity has become a very important concept for long-term economic growth, development, regional and global competitiveness, raising social living standards and increasing the level of welfare for countries. In the 21st century, when scientific knowledge, technology, innovation,…
Descriptors: Foreign Countries, Human Capital, Productivity, Developing Nations
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Marek Arendarczyk; Tomasz J. Kozubowski; Anna K. Panorska – Journal of Statistics and Data Science Education, 2023
We provide tools for identification and exploration of data with very large variability having power law tails. Such data describe extreme features of processes such as fire losses, flood, drought, financial gain/loss, hurricanes, population of cities, among others. Prediction and quantification of extreme events are at the forefront of the…
Descriptors: Natural Disasters, Probability, Regression (Statistics), Statistical Analysis
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Joanna Diong; Hopin Lee; Darren Reed – Discover Education, 2023
Introduction: This study aimed to estimate the causal effect of face-to-face learning on student performance in anatomy, compared to online learning, by analysing examination marks under a causal structure. Methods: We specified a causal graph to indicate how the mode of learning affected student performance. We sampled purposively to obtain…
Descriptors: In Person Learning, Electronic Learning, Performance, Anatomy
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Patrick K. Kirkland; Claire Guang; Nicole M. McNeil – North American Chapter of the International Group for the Psychology of Mathematics Education, 2023
Students with mature number sense make sense of numbers and operations, use reasoning to notice patterns, and flexibly select the most effective and efficient problem-solving strategies (McIntosh et al., 1997; Yang, 2005). Despite being highlighted in national standards and policy documents (CCSS, 2010; NCTM, 2000), the association between…
Descriptors: Elementary School Students, Grade 3, Grade 4, Grade 5
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Cuartas, Jorge; McCoy, Dana Charles – International Journal of Behavioral Development, 2021
Mediation has played a critical role in developmental theory and research. Yet, developmentalists rarely discuss the methodological challenges of establishing causality in mediation analysis or potential strategies to improve the identification of causal mediation effects. In this article, we discuss the potential outcomes framework from…
Descriptors: Mediation Theory, Behavior Development, Influences, Inferences
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Youmi Suk – Journal of Educational and Behavioral Statistics, 2024
Machine learning (ML) methods for causal inference have gained popularity due to their flexibility to predict the outcome model and the propensity score. In this article, we provide a within-group approach for ML-based causal inference methods in order to robustly estimate average treatment effects in multilevel studies when there is cluster-level…
Descriptors: Artificial Intelligence, Causal Models, Statistical Inference, Maximum Likelihood Statistics
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Razieh Safarifard; Masoud Gholamali Lavasani; Elaheh Hejazi; Fatemeh Narenji Thani – Knowledge Management & E-Learning, 2024
The pedagogy aspect of education has been the key factor influencing the effectiveness and quality of e-learning platforms. However, there is a lack of systematic review with an emphasis on the pedagogical aspect when it comes to e-learning in higher education. This research aims to systematically review seven major databases to identify the…
Descriptors: Electronic Learning, Higher Education, Journal Articles, Constructivism (Learning)
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Caihong Zhang; Liting Xia; Aruna Wu – Early Child Development and Care, 2024
Electronic product use among preschool children is gradually widespread. To explore whether and how electronic product use causes problem behaviours in preschool children, this study analyses the relationships between the degree of electronic product use, problem behaviours, and the roles of parenting styles and parent-child relationships in…
Descriptors: Foreign Countries, Preschool Children, Kindergarten, Parent Child Relationship
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Leslie Rutkowski; David Rutkowski – Journal of Creative Behavior, 2025
The Programme for International Student Assessment (PISA) introduced creative thinking as an innovative domain in 2022. This paper examines the unique methodological issues in international assessments and the implications of measuring creative thinking within PISA's framework, including stratified sampling, rotated form designs, and a distinct…
Descriptors: Creativity, Creative Thinking, Measurement, Sampling
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Yifang Wang; Huijuan Di; Qingru Duan – Early Childhood Education Journal, 2025
China's recent implementation of the three-child policy is expected to have profound implications for population dynamics, leading to potential changes in preschool enrollment and subsequent demand for preschool teachers. This study addresses this issue by utilizing population forecasting software (PADIS-INT) to project population growth trends…
Descriptors: Foreign Countries, Preschool Teachers, Teacher Shortage, Demand Occupations
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Andrew P. Jaciw – American Journal of Evaluation, 2025
By design, randomized experiments (XPs) rule out bias from confounded selection of participants into conditions. Quasi-experiments (QEs) are often considered second-best because they do not share this benefit. However, when results from XPs are used to generalize causal impacts, the benefit from unconfounded selection into conditions may be offset…
Descriptors: Elementary School Students, Elementary School Teachers, Generalization, Test Bias
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Vedanta Suvarna; Lara Farrell; Dawn Adams; Lisa-Marie Emerson; Jessica Paynter – Autism: The International Journal of Research and Practice, 2025
There is limited literature on the association between parenting practices, parenting stress and externalising behaviours in autistic children. We investigated whether parenting practices mediate the association between parenting stress and externalising behaviours. Parents of school-aged autistic children (n = 138) completed an online survey on…
Descriptors: Foreign Countries, Parents, Autism Spectrum Disorders, Students with Disabilities
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Nianbo Dong; Keith Herman; Benjamin Kelcey; Sirui Ren; Wendy Reinke; Jessaca Spybrook – Grantee Submission, 2025
Contextual, identity, and cultural factors are not only associated with student outcomes but can also serve to moderate the effects of interventions. However, the conventional analysis of moderation commonly used in school psychology is subject to the selection bias potentially introducing bias into estimated moderator effects. This article…
Descriptors: Causal Models, Statistical Analysis, Context Effect, Intervention
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