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Hadar Ram; Guy Grinfeld; Nira Liberman – npj Science of Learning, 2024
We show that learners generalized more broadly around the learned stimulus when they expected more variability between the learning set and the generalization set, as well as within the generalization set. Experiments 1 and 3 used a predictive learning task and demonstrated border perceptual generalization both when expected variability was…
Descriptors: Generalization, Predictor Variables, Learning Processes, Correlation
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Shone, Enkosa Terefe; Weldemeskel, Fisseha Mikre; Worku, Berhanu Nigussie – Psychology in the Schools, 2024
Deterioration of students' mathematics achievement has been a common problem while their mathematics perception and self-efficacy have been reported to determine their achievement. However, little is known about the potential relationships among them. Therefore, this study attempted to investigate the extent of influence of students' mathematics…
Descriptors: Mathematics Achievement, Self Efficacy, Student Attitudes, Correlation
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Jens Möller – Educational Psychology Review, 2024
Dimensional comparison theory (DCT; Möller & Marsh 2013:Psychological Review, 120(3), 544-560), first formulated 10 years ago, describes individuals' internal comparison processes applied between different areas of their lives. Dimensional comparisons explain the seemingly counterintuitive phenomenon that students' verbal and mathematical…
Descriptors: Theories, Educational Psychology, Self Concept, Verbal Ability
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Xinhong Zhang; Xiangyu Wang; Jiayin Zhao; Boyan Zhang; Fan Zhang – IEEE Transactions on Education, 2024
Contribution: This study proposes a student dropout prediction model, named image convolutional and bi-directional temporal convolutional network (IC-BTCN), which makes dropout prediction for learners based on the learning clickstream data of students in massive open online courses (MOOCs) courses. Background: The MOOCs learning platform attracts…
Descriptors: MOOCs, Dropout Characteristics, Dropout Research, Predictor Variables
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Bo Zhang; Jing Luo; Susu Zhang; Tianjun Sun; Don C. Zhang – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Oblique bifactor models, where group factors are allowed to correlate with one another, are commonly used. However, the lack of research on the statistical properties of oblique bifactor models renders the statistical validity of empirical findings questionable. Therefore, the present study took the first step to examine the statistical properties…
Descriptors: Correlation, Predictor Variables, Monte Carlo Methods, Statistical Bias
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Haley Weaver; Jenny R. Saffran – Developmental Science, 2026
Questions about early word knowledge pervade the literature on both typical and atypical language trajectories. To determine which words an infant knows, researchers have relied on two types of measures--caregiver-report and eye-gaze behavior. When these measures are compared, however, their results frequently fail to converge, making it difficult…
Descriptors: Child Language, Language Acquisition, Vocabulary Development, Infants
Michael C. Grugan; Luke F. Olsson; Andrew P. Hill; Daniel J. Madigan – Gifted Child Quarterly, 2025
There is evidence that many gifted students set unrealistically high personal standards and that such perfectionistic tendencies may lead to higher stress. To build on this evidence, we examined whether performance perfectionism and school stress influence school burnout and school engagement in gifted students. A sample of 342 gifted students…
Descriptors: Academically Gifted, Personality Traits, Stress Variables, Burnout
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Andrea Sander-Montant; Rébecca Bissonnette; Krista Byers-Heinlein – Child Development, 2025
Language exposure is an important determiner of language outcomes in bilingual children. Family language strategies (FLS, e.g., one-parent-one-language) were contrasted with parents' individual language use to predict language exposure in 4-31-month-old children (50% female) living in Montreal, Quebec. Two-hundred twenty one children (primarily…
Descriptors: Parent Influence, Mothers, Fathers, Language Usage
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Aarnes Gudmestad; Thomas A. Metzger – Language Learning, 2025
In this Methods Showcase Article, we illustrate mixed-effects modeling with a multinomial dependent variable as a means of explaining complexities in language. We model data on future-time reference in second language Spanish, which consists of a nominal dependent variable that has three levels, measured over 73 participants. We offer step-by-step…
Descriptors: Second Language Learning, Spanish, Applied Linguistics, Predictor Variables
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Kevin Ng – Education Economics, 2025
This study evaluates techniques to identify high-quality teachers. Since tenure restricts dismissals of experienced teachers, schools must predict productivity and dismiss those expected to perform ineffectively prior to tenure receipt. Many states rely on evaluation scores to guide these personnel decisions without considering other dimensions of…
Descriptors: Identification, Teacher Effectiveness, Teacher Selection, Teacher Evaluation
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Miao Chao; Weiyi Sun; Jie Liu; Jiahui Ding; Ye Zhu – Journal of Computer Assisted Learning, 2025
Background: The use of social media among students has become debatable concern due to both positive and negative effects on academic performance. Yet, understanding of the diverse patterns of social media use and their influence on actual and perceived academic performance remains limited. Objectives: This study distinguishes between academic and…
Descriptors: Social Media, Performance, Influence of Technology, Predictor Variables
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Eloise West; Carolyn Baer; Lisa Yu; Darko Odic – Developmental Science, 2025
Metacognitive reasoning is central to decision-making. For every decision, we can also judge our trust in that decision, or our level of "confidence." The mechanisms and representations underlying reasoning about confidence remain debated. We test whether children rely on "processing fluency" to infer their own confidence: do…
Descriptors: Young Children, Stuttering, Linguistic Performance, Cues
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Ehab Gouda Tolba – International Journal of Technology in Education, 2025
This study aimed to identify the levels of computational thinking skills, computational self-efficacy, and academic well-being among students, identify the potential relationships among them, and determine the predictive effects of computational thinking skills and computational self-efficacy on academic wellbeing. The study used the following…
Descriptors: Computation, Thinking Skills, Self Efficacy, Predictor Variables
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Gregory T. Hatchett – Counselor Education and Supervision, 2025
This study cataloged the occupational outcomes attained by 2946 counselor education graduates who completed their doctoral degrees between 2014 and 2022. A position as a full-time counselor educator was the most common occupation; this outcome could be predicted from the institutional affiliations, Carnegie Classifications, and locations of…
Descriptors: Outcomes of Education, Counselor Training, Employment Patterns, College Graduates
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Jennifer Stead; Louise Gracia; Elena Riva – European Journal of Education, 2025
There is a well-recognised mental health and wellbeing crisis among the undergraduate population in UK higher education. However, the wellbeing of postgraduate research students (PGRs) and the effectiveness of university strategies in supporting PGR wellbeing are much less understood. Early research shows that PGRs' wellbeing is impacted by their…
Descriptors: Well Being, Social Isolation, Graduate Students, Stress Variables
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