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Leah J. Scharlott; Dalton W. Rippey; Vanessa Rosa; Nicole M. Becker – Journal of Chemical Education, 2024
The alignment of teaching and assessment in chemistry courses is critical for the practice of science and positive student learning outcomes. This paper addresses how instructors can align what they do in class with assessments across topics to improve students' understanding and explanations of chemical phenomena. We drew on the foundations of…
Descriptors: Introductory Courses, Chemistry, Science Education, Causal Models
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Costanza Tortú; Irene Crimaldi; Fabrizia Mealli; Laura Forastiere – Sociological Methods & Research, 2024
Policy evaluation studies, which assess the effect of an intervention, face statistical challenges: in real-world settings treatments are not randomly assigned and the analysis might be complicated by the presence of interference among units. Researchers have started to develop methods that allow to manage spillovers in observational studies;…
Descriptors: Foreign Countries, Immigration, Foreign Policy, Causal Models
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Waismeyer, Anna; Meltzoff, Andrew N.; Gopnik, Alison – Developmental Science, 2015
How do young children learn about causal structure in an uncertain and variable world? We tested whether they can use observed probabilistic information to solve causal learning problems. In two experiments, 24-month-olds observed an adult produce a probabilistic pattern of causal evidence. The toddlers then were given an opportunity to design…
Descriptors: Toddlers, Young Children, Probability, Causal Models
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Gardiner, Amy K.; Greif, Marissa L.; Bjorklund, David F. – Journal of Cognition and Development, 2011
Object use is a ubiquitous characteristic of the human species, and learning how objects function is a fundamental part of development. In this article the authors examine the role that intentionality plays in children's understanding of causal relationships during observational learning of object use. Children observed demonstrations in which…
Descriptors: Preschool Children, Child Development, Manipulative Materials, Observational Learning
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Waldmann, Michael R.; Hagmayer, York – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2005
The ability to derive predictions for the outcomes of potential actions from observational data is one of the hallmarks of true causal reasoning. We present four learning experiments with deterministic and probabilistic data showing that people indeed make different predictions from causal models, whose parameters were learned in a purely…
Descriptors: Competence, Observational Learning, Causal Models, Probability
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Snyder, Jessica R. – Developmental Review, 1998
Summarizes the main theoretical frameworks attempting to explain the causal mechanisms connecting marital conflict to child adjustment. Outlines the implications of accumulated gender-related research findings for each theoretical framework. Argues that gender may be a moderator of many of the mechanisms outlined in existing theoretical frameworks…
Descriptors: Adjustment (to Environment), Causal Models, Children, Conflict