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West, Gillian; Melby-Lervåg, Monica; Hulme, Charles – Developmental Psychology, 2021
Impaired procedural learning has been suggested as a possible cause of developmental dyslexia (DD) and developmental language disorder (DLD). We evaluate this theory by performing a series of meta-analyses on evidence from the six procedural learning tasks that have most commonly been used to test this theory: the serial reaction time, Hebb…
Descriptors: Dyslexia, Developmental Disabilities, Language Impairments, Reaction Time
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Taggar, Simon – Journal of Creative Behavior, 2021
The relationship between conscientiousness and creativity remains equivocal. This is surprising because conscientiousness is a good predictor of job performance across most criteria and occupations. In this longitudinal study, I found support for the achievement striving and the dependability aspects of conscientiousness affecting team member…
Descriptors: Creative Activities, Personality Traits, Achievement Need, Creativity
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McBride, Eileen; Murray, Amy Vashlishan; Duggan, Michael – Journal of The First-Year Experience & Students in Transition, 2021
Research in higher education confirms the importance of self-efficacy in student persistence and success in college. The current study examined the role of self-efficacy in supporting academic and psychosocial adjustment in the critical first college year and the context of an academically-oriented first-year seminar (FYS). Students completed…
Descriptors: Self Efficacy, Academic Achievement, Well Being, First Year Seminars
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Wilkins, Jesse L. M.; Woodward, David; Norton, Anderson – Mathematics Education Research Journal, 2021
Number sequences are defined in terms of children's abilities to construct and transform units. Children operating with the initial number sequence (INS) construct units of 1. They construct other numbers as strings of 1s and can count on, by 1s, from one number to a subsequent number. A critical benchmark in children's further numerical…
Descriptors: Numeracy, Grade Prediction, Mathematics Achievement, Pattern Recognition
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Wijns, Nore; Verschaffel, Lieven; De Smedt, Bert; Torbeyns, Joke – Child Development, 2021
The present study aimed to analyze the direction of the associations between repeating patterning, growing patterning, and numerical ability. Participants were 410 children who were annually assessed on their repeating patterning, growing patterning, and numerical ability, at ages 4, 5, and 6 years (i.e., spring 2017, 2018, and 2019). A…
Descriptors: Pattern Recognition, Numeracy, Longitudinal Studies, Young Children
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Prentice, Shaun; Kirkpatrick, Emily; Schuwirth, Lambert; Benson, Jill – Advances in Health Sciences Education, 2021
A central principle of programmatic assessment is that the final decision is not a surprise to the learner. To achieve this, assessments must demonstrate predictive and consequential validity, however, to date, research has only focussed on the former. The present study attempts to address this gap by examining the predictive and consequential…
Descriptors: Identification, At Risk Students, Meta Analysis, Prediction
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Dubova, Marina; Goldstone, Robert L. – Cognitive Science, 2021
We explore different ways in which the human visual system can adapt for perceiving and categorizing the environment. There are various accounts of supervised (categorical) and unsupervised perceptual learning, and different perspectives on the functional relationship between perception and categorization. We suggest that common experimental…
Descriptors: Visual Perception, Perceptual Development, Correlation, Classification
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Guan, Shuang; Arnold, Jennifer E. – Discourse Processes: A Multidisciplinary Journal, 2021
In discourses involving implicit causality, the implicit cause of the event is referentially predictable, that is, it is likely to be rementioned. However, it is unclear how referential predictability is calculated. We test two possible explanations: (1) The frequency account suggests that people learn that implicit causes are predictable through…
Descriptors: Influences, Prediction, Incidence, Comprehension
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Bashir, Rabia; Dunn, Adam G.; Surian, Didi – Research Synthesis Methods, 2021
Few data-driven approaches are available to estimate the risk of conclusion change in systematic review updates. We developed a rule-based approach to automatically extract information from reviews and updates to be used as features for modelling conclusion change risk. Rules were developed to extract relevant information from published Cochrane…
Descriptors: Literature Reviews, Data, Automation, Statistical Analysis
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Powers, Tim E.; Watt, Helen M. G. – Empirical Research in Vocational Education and Training, 2021
Although apprenticeships ease the school-to-work transition for youth, many apprentices seriously consider dropping out. While associated with noncompletions, dropout considerations are important to study in their own right, because they reflect a negative quality of apprenticeship experience and can impact apprentices' quality of learning and…
Descriptors: Apprenticeships, Potential Dropouts, Prediction, Vocational Interests
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Magooda, Ahmed; Elaraby, Mohamed; Litman, Diane – Grantee Submission, 2021
This paper explores the effect of using multitask learning for abstractive summarization in the context of small training corpora. In particular, we incorporate four different tasks (extractive summarization, language modeling, concept detection, and paraphrase detection) both individually and in combination, with the goal of enhancing the target…
Descriptors: Data Analysis, Synthesis, Documentation, Training
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Sarah K. Cowan; Michael Hout; Stuart Perrett – Sociological Methods & Research, 2024
Long-running surveys need a systematic way to reflect social change and to keep items relevant to respondents, especially when they ask about controversial subjects, or they threaten the items' validity. We propose a protocol for updating measures that preserves content and construct validity. First, substantive experts articulate the current and…
Descriptors: Surveys, Public Opinion, Social Attitudes, Pregnancy
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Marlijn ter Bekke; Linda Drijvers; Judith Holler – Cognitive Science, 2024
During face-to-face conversation, transitions between speaker turns are incredibly fast. These fast turn exchanges seem to involve next speakers predicting upcoming semantic information, such that next turn planning can begin before a current turn is complete. Given that face-to-face conversation also involves the use of communicative bodily…
Descriptors: Nonverbal Communication, Speech Communication, Time, Prediction
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M. P. R. I. R. Silva; R. A. H. M. Rupasingha; B. T. G. S. Kumara – Technology, Pedagogy and Education, 2024
Today, in every academic institution as well as the university system assessing students' performance, identifying the uniqueness of each student and finding solutions to performance problems have become challenging issues. The main purpose of the study is to predict how student performance changes as a result of their behaviours, hobbies,…
Descriptors: Artificial Intelligence, Student Evaluation, Prediction, Recreational Activities
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Diane K. Angell; Sharon Lane-Getaz; Taylor Okonek; Stephanie Smith – CBE - Life Sciences Education, 2024
Preparing for exams in introductory biology classrooms is a complex metacognitive task. Focusing on lower achieving students (those with entering ACT scores below the median at our institution), we compared the effect of two different assignments distributed ahead of exams by dividing classes in half to receive either terms to define or open-ended…
Descriptors: Test Preparation, Metacognition, Introductory Courses, Biology
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