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Lucy D'Agostino McGowan; Travis Gerke; Malcolm Barrett – Journal of Statistics and Data Science Education, 2024
This article introduces a collection of four datasets, similar to Anscombe's quartet, that aim to highlight the challenges involved when estimating causal effects. Each of the four datasets is generated based on a distinct causal mechanism: the first involves a collider, the second involves a confounder, the third involves a mediator, and the…
Descriptors: Statistics Education, Programming Languages, Statistical Inference, Causal Models
Wayne Hugo; Musa Mokoena – Journal of Vocational Education and Training, 2025
This study introduces Pedagogic Causal Mechanisms (PCMs) in vocational education as a way to analyse and improve teaching and learning. PCMs are specific processes that directly connect educational inputs to learning outcomes. This paper uses an automotive mechanics lesson in Eswatini to show how PCMs work, focusing on Variation Theory as an…
Descriptors: Career and Technical Education, Causal Models, Auto Mechanics, Foreign Countries
Joshua Weidlich; Ben Hicks; Hendrik Drachsler – Educational Technology Research and Development, 2024
Researchers tasked with understanding the effects of educational technology innovations face the challenge of providing evidence of causality. Given the complexities of studying learning in authentic contexts interwoven with technological affordances, conducting tightly-controlled randomized experiments is not always feasible nor desirable. Today,…
Descriptors: Educational Research, Educational Technology, Research Design, Structural Equation Models
Jennifer Van Reet – Journal of Cognition and Development, 2024
Pretend play is often hypothesized in a global sense to be an effective context for young children's learning, but there is much still to learn about whether all types of information can be learned equally and whether all types of pretend play are equally beneficial. The present study tests whether preschoolers can learn a simple, novel causal…
Descriptors: Preschool Children, Preschool Education, Play, Conventional Instruction
Jennifer Hill; George Perrett; Stacey A. Hancock; Le Win; Yoav Bergner – Statistics Education Research Journal, 2024
Most current statistics courses include some instruction relevant to causal inference. Whether this instruction is incorporated as material on randomized experiments or as an interpretation of associations measured by correlation or regression coefficients, the way in which this material is presented may have important implications for…
Descriptors: Statistics Education, Causal Models, Statistical Inference, College Students
Elizabeth S. Park; Di Xu – Journal of Research on Educational Effectiveness, 2024
Growing literature documents the promise of active learning instruction in engaging students in college classrooms. Accordingly, faculty professional development (PD) programs on active learning have become increasingly popular in postsecondary institutions; yet, quantitative evidence on the effectiveness of these programs is limited. Using…
Descriptors: Active Learning, Learner Engagement, College Faculty, Faculty Development
Amal Ibourk; Lauren Wagner; Khadija Zogheib – Journal of Science Education and Technology, 2025
Elementary teachers require support through professional learning activities to enhance their climate change literacy and bolster their self-efficacy for teaching climate change. This study explores methods for supporting in-service elementary teachers' self-efficacy in climate change teaching by examining the impact of professional learning…
Descriptors: Elementary School Teachers, Climate, Pedagogical Content Knowledge, Self Efficacy
Larmel Dimatulac Madrilejos – ProQuest LLC, 2024
The study examines the perspectives of using the Desmos calculator of Algebra I students' conceptual understanding and procedural fluency to write, graph, and solve linear equations in Algebra I STAAR. While the students have continuously used technology for mathematics assessment, emergent bilingual students in South Texas still need help passing…
Descriptors: Problem Solving, Equations (Mathematics), Causal Models, Concept Formation
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)