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Showing 1 to 15 of 105 results Save | Export
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Sotoudeh, Ramina; DiMaggio, Paul – Sociological Methods & Research, 2023
Sociologists increasingly face choices among competing algorithms that represent reasonable approaches to the same task, with little guidance in choosing among them. We develop a strategy that uses simulated data to identify the conditions under which different methods perform well and applies what is learned from the simulations to predict which…
Descriptors: Algorithms, Simulation, Prediction, Correlation
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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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Shermis, Mark D. – Journal of Educational Measurement, 2022
One of the challenges of discussing validity arguments for machine scoring of essays centers on the absence of a commonly held definition and theory of good writing. At best, the algorithms attempt to measure select attributes of writing and calibrate them against human ratings with the goal of accurate prediction of scores for new essays.…
Descriptors: Scoring, Essays, Validity, Writing Evaluation
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Goretzko, David – Educational and Psychological Measurement, 2022
Determining the number of factors in exploratory factor analysis is arguably the most crucial decision a researcher faces when conducting the analysis. While several simulation studies exist that compare various so-called factor retention criteria under different data conditions, little is known about the impact of missing data on this process.…
Descriptors: Factor Analysis, Research Problems, Data, Prediction
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Austin L. Boroshok; Anne T. Park; Panagiotis Fotiadis; Gerardo H. Velasquez; Ursula A. Tooley; Katrina R. Simon; Jasmine C. P. Forde; Lourdes M. Delgado Reyes; M. Dylan Tisdall; Dani S. Bassett; Emily A. Cooper; Allyson P. Mackey – npj Science of Learning, 2022
Neuroplasticity, defined as the brain's "potential" to change in response to its environment, has been extensively studied at the cellular and molecular levels. Work in animal models suggests that stimulation to the ventral tegmental area (VTA) enhances plasticity, and that myelination constrains plasticity. Little is known, however,…
Descriptors: Individual Differences, Brain Hemisphere Functions, Learning Processes, Correlation
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Smithson, Conor J. R.; Eichbaum, Quentin G.; Gauthier, Isabel – Cognitive Research: Principles and Implications, 2023
We investigated the relationship between category learning and domain-general object recognition ability (o). We assessed this relationship in a radiological context, using a category learning test in which participants judged whether white blood cells were cancerous. In study 1, Bayesian evidence negated a relationship between o and category…
Descriptors: Recognition (Psychology), Classification, Learning Processes, Medicine
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Hua Ma; Wen Zhao; Yuqi Tang; Peiji Huang; Haibin Zhu; Wensheng Tang; Keqin Li – IEEE Transactions on Learning Technologies, 2024
To prevent students from learning risks and improve teachers' teaching quality, it is of great significance to provide accurate early warning of learning performance to students by analyzing their interactions through an e-learning system. In existing research, the correlations between learning risks and students' changing cognitive abilities or…
Descriptors: College Students, Learning Analytics, Learning Management Systems, Academic Achievement
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Mangino, Anthony A.; Bolin, Jocelyn H.; Finch, W. Holmes – Educational and Psychological Measurement, 2023
This study seeks to compare fixed and mixed effects models for the purposes of predictive classification in the presence of multilevel data. The first part of the study utilizes a Monte Carlo simulation to compare fixed and mixed effects logistic regression and random forests. An applied examination of the prediction of student retention in the…
Descriptors: Prediction, Classification, Monte Carlo Methods, Foreign Countries
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McGuire, Michael J. – International Journal for the Scholarship of Teaching and Learning, 2023
College students in a lower-division psychology course made metacognitive judgments by predicting and postdicting performance for true-false, multiple-choice, and fill-in-the-blank question sets on each of three exams. This study investigated which question format would result in the most accurate metacognitive judgments. Extending Koriat's (1997)…
Descriptors: Metacognition, Multiple Choice Tests, Accuracy, Test Format
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Wang, Wei; Dorans, Neil J. – ETS Research Report Series, 2021
Agreement statistics and measures of prediction accuracy are often used to assess the quality of two measures of a construct. Agreement statistics are appropriate for measures that are supposed to be interchangeable, whereas prediction accuracy statistics are appropriate for situations where one variable is the target and the other variables are…
Descriptors: Classification, Scaling, Prediction, Accuracy
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Chen, Qishan – Journal of Psycholinguistic Research, 2022
This study aimed to investigate the effects of judgment frames, cues, and test criteria on the accuracy of metacomprehension monitoring. The design was a 2 (rating comprehension vs. predicting performance) × 2 (memory cues vs. comprehension cues) × 2 (detailed questions test vs. inferential questions test) mixed design with judgment frames and…
Descriptors: Metalinguistics, Accuracy, Cues, Decision Making
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Slonecker, Emily M.; Klemfuss, J. Zoe – Developmental Psychology, 2023
The extant literature on the use of autonomy support during caregiver-child conversations has focused primarily on conversations about fun, shared experiences, with limited consideration of unshared experiences or attention toward the role of conversation context. The present study examined how autonomy support, conversation context, and child age…
Descriptors: Memory, Personal Autonomy, Prediction, Preschool Children
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Yildiz-Feyzioglu, Eylem; Kiran, Rabiya – Journal of Science Teacher Education, 2022
The aim of this study is to examine the relationships between pre-service teachers' critical thinking skills and their self-efficacy for argumentation. The participants of the research consisted of 858 pre-service teachers (447 female, 411 male) studying in education faculties at five different state universities in Turkey. In this study, the…
Descriptors: Self Efficacy, Critical Thinking, Thinking Skills, Accuracy
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Silaj, Katie M.; Schwartz, Shawn T.; Siegel, Alexander L. M.; Castel, Alan D. – Educational Psychology Review, 2021
Test anxiety is a context-specific academic anxiety which can result in poorer academic and metacognitive performance. We assessed how the quantity and relative weight of assessments contribute to the effects of test anxiety on performance and metacognitive accuracy in a smaller seminar-style class on human memory (study 1) and a larger…
Descriptors: Test Anxiety, Metacognition, Accuracy, Memory
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