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Alharbi, Jaithen; Almahdi, Hassan; Mosbah, Aissa – Online Submission, 2018
Using the Theory of Planned Behavior (TPB), this study aimed to investigate the impact of Entrepreneurship Education Programs (EEPs) on entrepreneurial attitudes and intentions among university students in the Kingdom of Saudi Arabia (KSA). Following the quantitative approach of enquiry, a self-administered questionnaire was distributed among two…
Descriptors: Entrepreneurship, Self Employment, Student Attitudes, Teaching Methods
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Nathan D. Grawe; Kristin O'Connell – Numeracy, 2018
As the number of young people attending college has increased, the diversity of college students' educational backgrounds has also risen. Some students enter introductory courses with math anxiety or gaps in their quantitative training that impede their ability to master or even grasp relevant disciplinary content. Too often professors learn of…
Descriptors: College Students, Numeracy, Prediction, Success
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Doumas, Diana M. – Journal of College Counseling, 2017
This study examined differences in the relationship of drinking motives to drinking behavior among sanctioned and nonsanctioned 1st-year students (N = 298). Results of hierarchical regression analyses indicated that for both sanctioned and nonsanctioned students, alcohol use was predicted by social and enhancement motives, and alcohol-related…
Descriptors: Drinking, Coping, Prediction, Correlation
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Paredes, Valentina – Education Finance and Policy, 2017
Several papers have proposed that the grading system affects students' incentives to exert effort. In particular, the previous literature has compared student effort under relative and absolute grading systems, but the results are mixed and the implications of the models have not been empirically tested. In this paper, I build a model where…
Descriptors: Grading, Student Motivation, Incentives, College Students
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Johnston, Angie M.; Johnson, Samuel G. B.; Koven, Marissa L.; Keil, Frank C. – Developmental Science, 2017
Like scientists, children seek ways to explain causal systems in the world. But are children scientists in the strict Bayesian tradition of maximizing posterior probability? Or do they attend to other explanatory considerations, as laypeople and scientists--such as Einstein--do? Four experiments support the latter possibility. In particular, we…
Descriptors: Young Children, Thinking Skills, Inferences, Bayesian Statistics
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Lindblom, Jallu; Peltola, Mikko J.; Vänskä, Mervi; Hietanen, Jari K.; Laakso, Anu; Tiitinen, Aila; Tulppala, Maija; Punamäki, Raija-Leena – International Journal of Behavioral Development, 2017
The family environment shapes children's social information processing and emotion regulation. Yet, the long-term effects of early family systems have rarely been studied. This study investigated how family system types predict children's attentional biases toward facial expressions at the age of 10 years. The participants were 79 children from…
Descriptors: Attention, Bias, Psychological Patterns, Family Environment
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van Schalkwyk, Gerrit I.; Volkmar, Fred R.; Corlett, Philip R. – Journal of Autism and Developmental Disorders, 2017
The co-occurrence of psychotic and autism spectrum disorder (ASD) symptoms represents an important clinical challenge. Here we consider this problem in the context of a computational psychiatry approach that has been applied to both conditions--predictive coding. Some symptoms of schizophrenia have been explained in terms of a failure of top-down…
Descriptors: Autism, Pervasive Developmental Disorders, Symptoms (Individual Disorders), Coding
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Engelthaler, Tomas; Hills, Thomas T. – Cognitive Science, 2017
Do properties of a word's features influence the order of its acquisition in early word learning? Combining the principles of mutual exclusivity and shape bias, the present work takes a network analysis approach to understanding how feature distinctiveness predicts the order of early word learning. Distance networks were built from nouns with edge…
Descriptors: Vocabulary Development, Network Analysis, Prediction, Language Acquisition
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Tallot, Lucille; Diaz-Mataix, Lorenzo; Perry, Rosemarie E.; Wood, Kira; LeDoux, Joseph E.; Mouly, Anne-Marie; Sullivan, Regina M.; Doyère, Valérie – Learning & Memory, 2017
The updating of a memory is triggered whenever it is reactivated and a mismatch from what is expected (i.e., prediction error) is detected, a process that can be unraveled through the memory's sensitivity to protein synthesis inhibitors (i.e., reconsolidation). As noted in previous studies, in Pavlovian threat/aversive conditioning in adult rats,…
Descriptors: Long Term Memory, Error Patterns, Cognitive Processes, Brain
Kane, Kevin T. – ProQuest LLC, 2017
Today's superintendents face increasingly non-routine and complex problems that are educational, managerial, and political in nature. This study investigated occupational stressors and job satisfaction of school superintendents in Pennsylvania. This was accomplished through self-report of superintendents and through the perspective of school board…
Descriptors: Superintendents, School Districts, Stress Variables, Job Satisfaction
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Tato, Ange; Nkambou, Roger; Dufresne, Aude; Beauchamp, Miriam H. – International Educational Data Mining Society, 2017
We propose a model that employs convolutional neural networks (CNN) to evaluate sociomoral reasoning maturity, a key social ability, necessary for adaptive social functioning. Our model is used in a serious game to evaluate learners. It uses pre-annotated textual data (verbatims) and a coding scheme (SoMoral) applied by experts in psychology.…
Descriptors: Models, Artificial Intelligence, Thinking Skills, Semantics
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Doroudi, Shayan; Brunskill, Emma – International Educational Data Mining Society, 2017
In this paper, we investigate two purported problems with Bayesian Knowledge Tracing (BKT), a popular statistical model of student learning: "identifiability" and "semantic model degeneracy." In 2007, Beck and Chang stated that BKT is susceptible to an "identifiability problem"--various models with different…
Descriptors: Bayesian Statistics, Research Problems, Models, Learning
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van der Kleij, Sanne W.; Burgess, Adrian P.; Ricketts, Jessie; Shapiro, Laura R. – Scientific Studies of Reading, 2022
Purpose: We investigated the roles of leisure reading and word reading ability in vocabulary and reading comprehension development in 598 adolescents at ages 10, 11, and 12 (285 girls, 313 boys). Method: Structural equation modeling was used to test whether word reading was associated with vocabulary and reading comprehension: a) directly; b)…
Descriptors: Vocabulary Development, Reading Comprehension, Reading Skills, Word Recognition
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Lai, Chun; Wang, Qiu; Huang, Xianhan – British Journal of Educational Technology, 2022
Previous research has identified various internal and external factors that predict teachers' technology adoption. Limited studies have explored how these internal and external factors interplay to determine different types of technology use. This study used the survey responses of 280 English as foreign language (EFL) teachers to examine how two…
Descriptors: Teaching Methods, Technological Literacy, Pedagogical Content Knowledge, Independent Study
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Mendive, Susana; Aldoney, Daniela; Mascareño, Mayra; Pezoa, José; Hoff, Erika – Journal for the Study of Education and Development, 2022
This study determines (a) which factors of the parenting context, the child and their mothers are associated with environments that differ in their home literacy environment in a Chilean low-SES sample of 53-month-old children, and (b) whether reading comprehension at second and fourth grade is predicted by the socialization in the literacy…
Descriptors: Native Language, Family Environment, Family Literacy, Reading Comprehension
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