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Abdullah Saykili; Sinan Aydin; Yusuf Zafer Can Ugurhan; Aylin Öztürk; Mustafa Kemal Birgin – Technology, Knowledge and Learning, 2025
Learning analytics offer unprecedented opportunities for tracking and storing learning behaviors, thereby providing chances for optimizing learner engagement and success. The limited adoption of learning analytics by educational institutions hinders efforts to optimize learning processes through organizational and educational interventions,…
Descriptors: Undergraduate Students, Online Courses, Learning Analytics, Student Characteristics
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Sebnem Özge Özsoy; Hatice Dagli; H. Elif Daglioglu – Journal of Pedagogical Research, 2025
This study aims to examine preschool children's executive function skills and motivation about various variables and determine the relationship between these two domains. A correlational survey method was employed in the study, and the study group consisted of 224 children aged 48-72 months attending preschool education institutions in Türkiye.…
Descriptors: Executive Function, Preschool Children, Student Motivation, Predictor Variables
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Nicolas B. Verger; Julie Roberts; Jane Guiller; Kareena McAloney-Kocaman – Journal of Creative Behavior, 2024
Creativity researchers are increasingly interested in understanding when, how, and for whom creativity can be beneficial. Previous reviews have demonstrated that creativity research largely ignores the study of its impact on factors that promote health, and well-being among populations of adults. It is unclear, in fact, whether this gap in…
Descriptors: Creativity, Research, Young Children, Resilience (Psychology)
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Elizabeth J. Meinz; Jennifer L. Tennison; Whitney A. Dominguez – Teaching of Psychology, 2024
Background: Furnham and Hughes (2014) previously reported that a sample of adults was only able to recognize 37% of 249 myths based on those presented in Lilienfeld et al.'s (2009) Great Myths of Popular Psychology. Objective: We sought to replicate these findings and to investigate predictors (e.g., education, cognitive ability, and personality)…
Descriptors: Misconceptions, Psychology, Predictor Variables, College Students
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Kirsty Wilding; Megan Wright; Sophie von Stumm – Educational Psychology Review, 2024
Recent advances in genomics make it possible to predict individual differences in education from polygenic scores that are person-specific aggregates of inherited DNA differences. Here, we systematically reviewed and meta-analyzed the strength of these DNA-based predictions for educational attainment (e.g., years spent in full-time education) and…
Descriptors: Genetics, Heredity, Educational Attainment, Predictor Variables
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Tong-Rong Yang; Li-Jen Weng – Structural Equation Modeling: A Multidisciplinary Journal, 2024
In Savalei's (2011) simulation that evaluated the performance of polychoric correlation estimates in small samples, two methods for treating zero-frequency cells, adding 0.5 (ADD) and doing nothing (NONE), were compared. Savalei tentatively suggested using ADD for binary data and NONE for data with three or more categories. Yet, Savalei's…
Descriptors: Correlation, Statistical Distributions, Monte Carlo Methods, Sample Size
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Karimatus Saidah; Achmad Dardiri; Pujiyanti Fauziah – Journal of Education and Learning (EduLearn), 2025
It is important for prospective elementary school teachers to know their epistemic beliefs because this is related to beliefs about how to teach in schools and how learning should be done, which are called pedagogical beliefs. This study aims to investigate whether epistemic beliefs can predict the pedagogical beliefs of prospective elementary…
Descriptors: Epistemology, Beliefs, Predictor Variables, Elementary School Teachers
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Stephanie Wermelinger; Marco Bleiker; Moritz M. Daum – Infant and Child Development, 2025
Children's fuzziness leads to increased variance in the data, data loss, and high dropout rates in developmental studies. This study investigated the importance of 20 factors on the person (child, caregiver, experimenter) and situation (task, method, time, and date) level for the data quality as indicated via the number of valid trials in 11…
Descriptors: Infants, Young Children, Research Problems, Factor Analysis
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Victoria Johnson; Reese Butterfuss; Rina Harsch; Panayiota Kendeou – Journal of Research in Science Teaching, 2025
A crucial hurdle to addressing climate change is science denial. While research suggests that science denial is related to judgments individuals make about the credibility of information sources, less is known about how source credibility and characteristics of the individual interact to affect science denial. In the present study, we examined the…
Descriptors: Beliefs, Trust (Psychology), Politics, Political Attitudes
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Jess Sullivan; Joseph Alvarez; Sophie Cramer-Benjamin; Sadie Holcomb; Melissa Nolan; Alex Morabito; David Barner – Journal of Numerical Cognition, 2025
When children first learn to count, what do they understand about the structure of the count system? The present study investigated English-speaking children's ability to generalize the rules that structure their count list to novel contexts. A total of N = 86 children (3;0-6;11) completed a battery of tasks aimed at measuring their understanding…
Descriptors: Computation, Young Children, Novelty (Stimulus Dimension), English
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Amjid Khan; Arshad Hussain Afridi; Muhammad Kamal Khan; Pervaiz Ahmad – Asian Association of Open Universities Journal, 2025
Purpose: This empirical study was carried out to examine predictors of perceived usefulness of the learning management system (LMS) from the viewpoint of distance learning students of Allama Iqbal Open University (AIOU) Islamabad. Design/methodology/approach: This study used a positivist paradigm and a correlation research design. The information…
Descriptors: Learning Management Systems, Student Attitudes, Distance Education, Predictor Variables
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Chaoqun Lu; Michelle Mingyue Gu – Asia Pacific Journal of Education, 2025
This study systematically reviewed 46 studies on adolescent digital citizenship searched by November 2022 and synthesized that (a) the predictors of adolescents' levels of digital citizenship include demographic (e.g., gender and computer use experience), individual (e.g., social networking use and Internet skills) and psychological (e.g.,…
Descriptors: Citizenship, Technological Literacy, Adolescents, Foreign Countries
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Júlia Florit-Pons; Mariia Pronina; Alfonso Igualada; Pilar Prieto; Courtenay Norbury – Child Development, 2025
To see whether communicative-based multimodal skills (compared to non-communicative motor skills) predicted complex language skills, this study examined the predictive power of multimodal and motor skills on narrative and expressive pragmatic abilities across two groups. Participants were children with typical development (N = 88, M[subscript age]…
Descriptors: Psychomotor Skills, Communication Skills, Language Skills, Predictor Variables
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Jasmine Kotsiopoulos; Irene Giannis; Catherine M. Sabiston; Carsten Wrosch – International Journal of Behavioral Development, 2025
The Lines-of-Defense model postulates that older adults should engage in important health goals and behaviors for as long as possible and adjust them downwardly only when they become impossible to pursue. This process is thought to be supported by goal engagement and self-protective control strategies. We tested this model in a 4-year longitudinal…
Descriptors: Older Adults, Aging (Individuals), Physical Activity Level, Health Behavior
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Mróz, Justyna; Sornat, Wojciech – Journal of Beliefs & Values, 2023
The purpose of the present study was to examine the mediating role of self-compassion in the relationship between guilt-/shame-proneness and self-forgiveness. The study is based on the Hall and Fincham's self-forgiveness model which indicated guilt and shame proneness as emotional predictors of self-forgiveness. The sample consisted of 300…
Descriptors: Psychological Patterns, Emotional Response, Predictor Variables, Adults
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