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Fitzsimmons, Charles J.; Morehead, Kayla; Thompson, Clarissa A.; Buerke, Morgan; Dunlosky, John – Journal of Experimental Education, 2023
We investigated whether three interventions -- studying incorrect worked examples, studying correct worked examples, or receiving feedback -- improved children's 0-1,000 (Experiment 1) and adults' 1 thousand--1 billion (Experiment 2) number-line estimation precision relative to a no intervention control group. At pretest, participants estimated…
Descriptors: Feedback (Response), Problem Solving, Accuracy, Number Concepts
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Dunlosky, John; Badali, Sabrina; Rivers, Michelle L.; Rawson, Katherine A. – Educational Psychology Review, 2020
Almost anything worth doing takes effort, so it is no surprise that effort has played such a central role in how researchers, theoreticians, instructors, and even students think about student learning and achievement. In this special issue, the authors of the target articles explore the importance of effort to students' self-regulated learning…
Descriptors: Academic Achievement, Achievement Gains, Individual Power, Student Attitudes
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Foster, Nathaniel L.; Was, Christopher A.; Dunlosky, John; Isaacson, Randall M. – Metacognition and Learning, 2017
Students often are overconfident when they predict their performance on classroom examinations, and their accuracy often does not improve across exams. One contributor to overconfidence may be that students did not have enough experience, and another is that students may under-use their knowledge of prior exam performance to predict performance on…
Descriptors: Prediction, Tests, Memory, Self Esteem
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Stanton, Julie Dangremond; Sebesta, Amanda J.; Dunlosky, John – CBE - Life Sciences Education, 2021
Metacognition is awareness and control of thinking for learning. Strong metacognitive skills have the power to impact student learning and performance. While metacognition can develop over time with practice, many students struggle to meaningfully engage in metacognitive processes. In an evidence-based teaching guide associated with this paper…
Descriptors: Metacognition, Performance Factors, Learning Strategies, Teaching Guides
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Dunlosky, John; Mueller, Michael L. – Metacognition and Learning, 2016
The target articles explore a common hypothesis pertaining to whether perceptually degrading materials will improve reasoning, memory, and metamemory. Outcomes are mixed, yet some evidence was garnered in support of a version of the disfluency hypothesis that includes moderators, and along with evidence from prior research, researchers will likely…
Descriptors: Evidence, Memory, Hypothesis Testing, Thinking Skills
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Wall, Jenna L.; Thompson, Clarissa A.; Dunlosky, John; Merriman, William E. – Developmental Psychology, 2016
Accurate monitoring and control are essential for effective self-regulated learning. These metacognitive abilities may be particularly important for developing math skills, such as when children are deciding whether a math task is difficult or whether they made a mistake on a particular item. The present experiments investigate children's ability…
Descriptors: Mathematics Instruction, Computation, Number Concepts, Metacognition