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Isbilen, Erin S.; McCauley, Stewart M.; Kidd, Evan; Christiansen, Morten H. – Cognitive Science, 2020
The computations involved in statistical learning have long been debated. Here, we build on work suggesting that a basic memory process, "chunking," may account for the processing of statistical regularities into larger units. Drawing on methods from the memory literature, we developed a novel paradigm to test statistical learning by…
Descriptors: Statistics, Cognitive Processes, Teaching Methods, Recall (Psychology)
Anahid S. Modrek; Tania Lombrozo – Cognitive Science, 2024
How does the act of explaining influence learning? Prior work has studied effects of explaining through a predominantly proximal lens, measuring short-term outcomes or manipulations within lab settings. Here, we ask whether the benefits of explaining extend to academic performance over time. Specifically, does the quality and frequency of student…
Descriptors: Academic Achievement, Learning Processes, Cognitive Processes, Prediction
Levine, Susan C.; Goldin-Meadow, Susan; Carlson, Matthew T.; Hemani-Lopez, Naureen – Cognitive Science, 2018
We examined the effects of three different training conditions, all of which involve the motor system, on kindergarteners' mental transformation skill. We focused on three main questions. First, we asked whether training that involves making a motor movement that is relevant to the mental transformation--either concretely through action (action…
Descriptors: Training, Teaching Methods, Psychomotor Skills, Kindergarten
Okada, Takeshi; Ishibashi, Kentaro – Cognitive Science, 2017
To investigate the cognitive processes underlying creative inspiration, we tested the extent to which viewing or copying prior examples impacted creative output in art. In Experiment 1, undergraduates made drawings under three conditions: (a) copying an artist's drawing, then producing an original drawing; (b) producing an original drawing without…
Descriptors: Cognitive Processes, Creative Activities, Art Activities, Freehand Drawing
Dealing with Big Numbers: Representation and Understanding of Magnitudes outside of Human Experience
Resnick, Ilyse; Newcombe, Nora S.; Shipley, Thomas F. – Cognitive Science, 2017
Being able to estimate quantity is important in everyday life and for success in the STEM disciplines. However, people have difficulty reasoning about magnitudes outside of human perception (e.g., nanoseconds, geologic time). This study examines patterns of estimation errors across temporal and spatial magnitudes at large scales. We evaluated the…
Descriptors: STEM Education, Error Patterns, Accuracy, Abstract Reasoning
Lee, Hee Seung; Betts, Shawn; Anderson, John R. – Cognitive Science, 2016
Learning to solve a class of problems can be characterized as a search through a space of hypotheses about the rules for solving these problems. A series of four experiments studied how different learning conditions affected the search among hypotheses about the solution rule for a simple computational problem. Experiment 1 showed that a problem…
Descriptors: Problem Solving, Hypothesis Testing, Experiments, Cognitive Processes