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Isabelle Plante; Kathryn Everhart Chaffee; Evelyne Gauthier; Elizabeth Olivier; Véronique Dupéré – British Journal of Educational Psychology, 2024
Background: In the past decades, there has been a growing concern to understand why boys struggle in school. One of the turning points in students' educational trajectories likely to exacerbate boys' academic difficulties is students' enrolment in private or enriched school programmes, as boys are underrepresented in such programmes. Method: To…
Descriptors: Males, Disproportionate Representation, Equal Education, Gender Differences
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Walmsley, Stephen; Gilbey, Andrew – Applied Cognitive Psychology, 2019
Past events, such as "close calls," can provide valuable learning opportunities, especially in aviation, where learning from past errors could potentially help to avoid future incidents or accidents. This study investigated whether three cognitive biases (availability, outcome, and hindsight bias) could influence pilots' perceptions of…
Descriptors: Weather, Decision Making, Air Transportation, Learning Processes
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Sauerland, Melanie; Krix, Alana C.; Sagana, Anna – Applied Cognitive Psychology, 2019
A common belief in police officers is that guilty suspects' statements are less consistent than innocent suspects'. This could leave guilty suspects more vulnerable to missing inconsistencies externally induced into their alibis. Source monitoring and cognitive load approaches suggest that untruthfulness rather than guilt should predict proneness…
Descriptors: Police, Crime, Deception, Cognitive Ability
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Monds, Lauren A.; Kloft, Lilian; Sauer, James D.; Honan, Cynthia A.; Palmer, Matthew A. – Applied Cognitive Psychology, 2019
Alcohol use is frequently involved in crime, making it crucial to understand the role of alcohol in facial recognition to maximize correct perpetrator identifications. Although the majority of the alcohol and face recognition research has investigated recognition with "retrospective" confidence judgments, we examined the effects of…
Descriptors: Drinking, Crime, Recognition (Psychology), Human Body
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Henning, Kyle J.; Merriman, William E. – Journal of Cognition and Development, 2019
Children tend to select a novel object rather than a familiar object when asked to identify the referent of a novel label. Current accounts of this so-called "disambiguation effect" do not address whether children have a general metacognitive representation of this way of determining the reference of novel labels. In two experiments…
Descriptors: Preschool Children, Novelty (Stimulus Dimension), Metacognition, Prediction
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Stahovich, Thomas F.; Lin, Hanlung; Gyllen, Justin – International Journal of Artificial Intelligence in Education, 2019
We present a technique that examines handwritten equations from a student's solution to an engineering problem and from this estimates the correctness of the work. More specifically, we demonstrate that lexical properties of the equations correlate with the grade a human grader would assign. We characterize these properties with a set of features…
Descriptors: Handwriting, Engineering Education, Problem Solving, Equations (Mathematics)
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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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Van Appel, Vaughan; Durandt, Rina – Perspectives in Education, 2019
This article reports on the results of an investigation of the predictive accuracy of five different mathematical models to identify at-risk students in a Business Statistics course. Low levels of students' success, especially in mathematics-related subjects such as statistics, are a salient problem in South Africa and other countries. Statistical…
Descriptors: Foreign Countries, Mathematical Models, Prediction, At Risk Students
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Oaksford, Mike; Over, David; Cruz, Nicole – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2019
Hinterecker, Knauff, and Johnson-Laird (2016) compared the adequacy of the probabilistic new paradigm in reasoning with the recent revision of mental models theory (MMT) for explaining a novel class of inferences containing the modal term "possibly." For example, "the door is closed or the window is open or both," therefore,…
Descriptors: Models, Probability, Inferences, Logical Thinking
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Johns, Brendan T.; Mewhort, Douglas J. K.; Jones, Michael N. – Cognitive Science, 2019
Distributional models of semantics learn word meanings from contextual co-occurrence patterns across a large sample of natural language. Early models, such as LSA and HAL (Landauer & Dumais, 1997; Lund & Burgess, 1996), counted co-occurrence events; later models, such as BEAGLE (Jones & Mewhort, 2007), replaced counting co-occurrences…
Descriptors: Semantics, Learning Processes, Models, Prediction
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Wagner, Richard K.; Edwards, Ashley A.; Malkowski, Antje; Schatschneider, Chris; Joyner, Rachel E.; Wood, Sarah; Zirps, Fotena A. – New Directions for Child and Adolescent Development, 2019
Despite decades of research, it has been difficult to achieve consensus on a definition of common learning disabilities such as dyslexia. This lack of consensus represents a fundamental problem for the field. Our approach to addressing this issue is to use model-based meta-analyses and Bayesian models with informative priors to combine the results…
Descriptors: Dyslexia, Learning Disabilities, Meta Analysis, Bayesian Statistics
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Staub, Adrian; Goddard, Kirk – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2019
A word's predictability, as measured by its cloze probability, has a robust influence on the time a reader's eyes spend on the word, with more predictable words receiving shorter fixations. However, several previous studies using the boundary paradigm have found no apparent effect of predictability on early reading time measures when the reader…
Descriptors: Prediction, Probability, Eye Movements, Reading
Oines, Leif – ProQuest LLC, 2019
In conversation or during reading, we sometimes find ourselves making predictions about the identity of an upcoming word or phrase. This phenomenon has been reflected in the results of laboratory experiments that show changes in eye gaze patterns or the Electroencephalogram (EEG) "prior" to encountering a predicted word. However,…
Descriptors: Prediction, Reading Comprehension, Word Recognition, Associative Learning
Nicula, Bogdan; Perret, Cecile A.; Dascalu, Mihai; McNamara, Danielle S. – Grantee Submission, 2019
Theories of discourse argue that comprehension depends on the coherence of the learner's mental representation. Our aim is to create a reliable automated representation to estimate readers' level of comprehension based on different productions, namely self-explanations and answers to open-ended questions. Previous work relied on Cohesion Network…
Descriptors: Prediction, Reading Comprehension, Network Analysis, Information Sources
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Kruger, Stella; Noiray, Aude – Journal of Child Language, 2021
Anticipatory coarticulation is an indispensable feature of speech dynamics contributing to spoken language fluency. Research has shown that children speak with greater degrees of vowel anticipatory coarticulation than adults -- that is, greater vocalic influence on previous segments. The present study examined how developmental differences in…
Descriptors: Language Acquisition, Articulation (Speech), Vowels, Transfer of Training
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