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Burton, Olivia R.; Bodner, Glen E.; Williamson, Paul; Arnold, Michelle M. – Metacognition and Learning, 2023
Meta-reasoning requires monitoring and controlling one's reasoning processes, and it often begins with an assessment of problem solvability. We explored whether "Judgments of Solvability (JOS)" for solvable and unsolvable anagrams discriminate and predict later problem-solving outcomes once anagrams solved during the JOS task are…
Descriptors: Accuracy, Prediction, Problem Solving, Thinking Skills
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Witherby, Amber E.; Carpenter, Shana K.; Smith, Andrew M. – Metacognition and Learning, 2023
Prior knowledge is often strongly related to students' learning. In the present research, we explored the relationship between prior knowledge and the accuracy of students' predictive monitoring judgments (judgments of learning; JOLs) and postdictive monitoring judgments (confidence judgments). In four experiments, students completed prior…
Descriptors: Metacognition, Prior Learning, Accuracy, Prediction
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Geraci, Lisa; Kurpad, Nayantara; Tirso, Robert; Gray, Kathryn N.; Wang, Yan – Metacognition and Learning, 2023
Students often make incorrect predictions about their exam performance, with the lowest-performing students showing the greatest inaccuracies in their predictions. The reasons why low-performing students make inaccurate predictions are not fully understood. In two studies, we tested the hypothesis that low-performing students erroneously predict…
Descriptors: Prediction, Tests, Scores, Low Achievement
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Güzel, Mehmet Akif; Basokçu, Tahsin Oguz – Metacognition and Learning, 2023
Besides learners' awareness of their knowledge, a growing number of studies also emphasise the importance of teachers' awareness of how well their students perform to adjust their teaching strategies accordingly. Therefore, proposing a multi-layered metacognitive regulatory model in teaching first, we investigated whether estimation type, item…
Descriptors: Accuracy, Prediction, Scores, Foreign Countries
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Kedar Nepal; Ram C. Kafle – Metacognition and Learning, 2024
We collected data on students' self-assessment behavior from four sections of a Calculus II course. Students were asked to write their expected scores on each of the weekly in-class quizzes and problems in the exams, immediately after they completed them. They were then asked to justify their expectation in writing. One-on-one interviews were…
Descriptors: Undergraduate Students, Self Evaluation (Individuals), Calculus, Mathematics Instruction
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Prinz-Weiß, Anja; Lukosiute, Laura; Meyer, Mona; Riedel, Janina – Metacognition and Learning, 2023
When learning from text, it is important that learners not only comprehend the information but also accurately monitor and judge their comprehension, known as metacomprehension accuracy. We investigated the extent to which the achievement emotions high school students (N = 358) experienced during reading influenced their text comprehension,…
Descriptors: High School Students, Academic Achievement, Emotional Response, Psychological Patterns
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Morphew, Jason W. – Metacognition and Learning, 2021
Student learning in introductory science, technology, engineering, and mathematics (STEM) courses is often self-regulated. For self-regulated learning to be effective, students need to engage in accurate metacognitive monitoring to make appropriate metacognitive control decisions. However, the accuracy with which individuals monitor their task…
Descriptors: Metacognition, STEM Education, Independent Study, Accuracy
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Koriat, Asher – Metacognition and Learning, 2019
The influential metacognitive framework of Nelson and Narens (1990) distinguishes between "object-level" and "meta-level," with two metacognitive processes, monitoring and control, governing the interplay between them. Monitoring refers to the process by which the meta-level tracks the accuracy of object level-performance,…
Descriptors: Metacognition, Accuracy, Decision Making, Cognitive Processes
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Yu, Shi; Zhang, Fengjiao; Nunes, Ludmila D. – Metacognition and Learning, 2023
Metamotivational knowledge is a burgeoning area of study. It refers to people's knowledge about motivation, and it has been shown to contribute to motivation and behavioral outcomes. The current study bridges metamotivational knowledge with self-determination theory (SDT), one of the most prominent theories of academic motivation. SDT proposes…
Descriptors: Metacognition, Self Determination, Academic Achievement, Student Motivation
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van Loon, Mariëtte H.; Bayard, Natalie S.; Steiner, Martina; Roebers, Claudia M. – Metacognition and Learning, 2021
Many children have difficulties with accurate self-monitoring and effective regulation of study, and this may cause them to miss learning opportunities. In the classroom, teachers play a key role in supporting children with metacognition and learning. The present study aimed to acquire insights into how teachers' cognitive and metacognitive…
Descriptors: Metacognition, Teaching Methods, Student Centered Learning, Elementary School Students
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Händel, Marion; de Bruin, Anique B. H.; Dresel, Markus – Metacognition and Learning, 2020
Extensive research has been conducted to understand how accurately students monitor their studying and performance via metacognitive judgments. Moreover, the bases of students' metacognitive judgments are of interest. While previous results are quite consistent regarding the importance of performance for the accuracy of metacognitive judgments,…
Descriptors: Individual Differences, Metacognition, Personality Traits, Decision Making
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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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Dentakos, Stella; Saoud, Wafa; Ackerman, Rakefet; Toplak, Maggie E. – Metacognition and Learning, 2019
Confidence and its accuracy have been most commonly examined in domains such as general knowledge and learning, with less study of other domains, such as applied knowledge and problem solving. Monitoring accuracy in real-world competencies may depend on characteristics of the domain. In this study, we examined whether monitoring accuracy, both…
Descriptors: Accuracy, Epistemology, Probability, Computation
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Jemstedt, Andreas; Kubik, Veit; Jönsson, Fredrik U. – Metacognition and Learning, 2017
When people begin to study new material, they may first judge how difficult it will be to learn. Surprisingly, these "ease of learning" (EOL) judgments have received little attention by metacognitive researchers so far. The aim of this study was to systematically investigate how well EOL judgments can predict actual learning, and what…
Descriptors: Accuracy, Decision Making, Comparative Analysis, Correlation
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Green, Sean R.; Redford, Joshua – Metacognition and Learning, 2016
The "familiarity effect" (Shen and Reingold, "Perception & Psychophysics" 63(3):464-475, 2001) is a phenomenon in which unfamiliar symbols perceptually "pop-out" when placed among familiar symbols (e.g., letters). In contrast, searching for familiar symbols among unfamiliar symbols is more challenging. Failure to…
Descriptors: Familiarity, Metacognition, Accuracy, Alphabets
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