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Chi, Sung-Ae; Kim, SeongHyun; Kim, Nak-Heung – South African Journal of Education, 2018
The school adjustment of children is the cornerstone of their development, and has been known to be influenced by a variety of factors. This study investigated the effects of peer relationships, theory of mind (ToM), hot executive function (hot EF), and cognitive ability on young children's school adjustment. Participants were 183 children with a…
Descriptors: Student Adjustment, Peer Relationship, Theory of Mind, Executive Function
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Snyder, Kate E.; Barr, Sebastian M.; Honken, Nora B.; Pittard, Caroline M.; Ralston, Patricia A. S. – Journal of Engineering Education, 2018
Background: The first semester in undergraduate engineering is often challenging for students, making this a potentially fruitful time period for exploring motivational changes and relations between motivational beliefs and achievement. Purpose/Hypothesis: The purpose of the current study was to examine changes in implicit beliefs about…
Descriptors: Engineering Education, Student Motivation, Attitude Change, Beliefs
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Dry, M. J.; Due, C.; Powell, C.; Chur-Hansen, A.; Burns, N. R. – Psychology Teaching Review, 2018
In this project we test the utility of an adaptive e-learning study tool (LearnSmart) within the context of a large undergraduate psychology course. We measured student usage of the e-learning tool and the effect that this usage has on academic outcomes, while controlling for the effects of intellectual ability and personality traits such as…
Descriptors: Online Courses, Undergraduate Students, Personality Traits, Cognitive Ability
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Polyzou, Agoritsa; Karypis, George – International Educational Data Mining Society, 2018
Developing tools to support students and learning in a traditional or online setting is a significant task in today's educational environment. The initial steps towards enabling such technologies using machine learning techniques focused on predicting the student's performance in terms of the achieved grades. The disadvantage of these approaches…
Descriptors: Low Achievement, Predictor Variables, Classification, Student Characteristics
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Paz-Baruch, Nurit; Leikin, M.; Leikin, R. – Gifted and Talented International, 2022
Mathematical giftedness (MG) is an intriguing phenomenon, the nature of which has yet to be sufficiently explored. This study goes a step further in understanding how MG is related to expertise in mathematics (EM) and general giftedness (G). Cognitive testing was conducted among 197 high school students with different levels of G and of EM. Based…
Descriptors: Gifted, Mathematical Aptitude, Expertise, Factor Analysis
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Partanen, Petri; Jansson, Billy; Sundin, Örjan – Educational Psychology in Practice, 2020
The demands on mathematical problem-solving have increased in almost all school systems internationally and may constitute a barrier for children with special educational needs (SEN). This study explored the role of fluid reasoning (FR), working memory (WM) and complex executive function of planning (EF) in children (N = 62) referred for…
Descriptors: Short Term Memory, Executive Function, Planning, Learning Problems
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De Castella, Krista; Byrne, Donald – European Journal of Psychology of Education, 2015
The belief that intelligence is malleable has important consequences for achievement and motivation (Blackwell et al. "Child Development," v78, p246-263. 2007; Dweck, 1999; Robins & Pals, "Self and Identity," v1, p313-336, 2002). However, believing that it is possible to improve intelligence does not necessarily mean…
Descriptors: Foreign Countries, Intelligence, Self Esteem, Intelligence Tests
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Olive, David Monllao; Huynh, Du Q.; Reynolds, Mark; Dougiamas, Martin; Wiese, Damyon – IEEE Transactions on Learning Technologies, 2019
A significant amount of research effort has been put into finding variables that can identify students at risk based on activity records available in learning management systems (LMS). These variables often depend on the context, for example, the course structure, how the activities are assessed or whether the course is entirely online or a…
Descriptors: Prediction, Identification, At Risk Students, Online Courses
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Caplan, Barbara; Blacher, Jan; Eisenhower, Abbey – Journal of Autism and Developmental Disorders, 2019
Children with autism spectrum disorder (ASD) vary greatly in social functioning, and in turn, long-term relational and academic outcomes. Responsive parenting which follows a child's lead and focus of attention is predictive of language and social gains for children with or without developmental risk. The present study prospectively assessed 176…
Descriptors: Interpersonal Competence, Autism, Pervasive Developmental Disorders, Parenting Styles
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Chen, Nga Ting; Zheng, Mo; Ho, Connie Suk-Han – Reading and Writing: An Interdisciplinary Journal, 2019
The present study examines the visual attention span deficit hypothesis in Chinese developmental dyslexia. Twenty-five Cantonese-speaking Chinese dyslexic children (DD group) were compared with 25 chronological-age-matched (CA) controls and another 25 reading-level-matched (RL) controls on their performance in visual attention span, reading, and…
Descriptors: Dyslexia, Visual Perception, Attention Span, Reading Skills
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Wilson, Claire A.; Babcock, Sarah E.; Saklofske, Donald H. – Canadian Journal of Higher Education, 2019
The transition from high school to post-secondary education presents challenges for students. Many variables have been identified as significant predictors of student achievement. Resiliency, defined as the ability to overcome challenges and adversity, may be particularly relevant during the adjustment to post-secondary education. This study…
Descriptors: College Freshmen, Resilience (Psychology), Academic Achievement, Student Adjustment
Heilmann, John J.; Moyle, Maura J.; Rueden, Ashley M. – Topics in Early Childhood Special Education, 2018
Having strong alphabet knowledge early in life is a powerful predictor of long-term reading and academic outcomes. Upon tracking the alphabet knowledge of 172 children enrolled in their first year of Head Start, we identified that most of the children could name fewer than 10 letters at the beginning of the academic year. Approximately, one third…
Descriptors: Alphabets, Emergent Literacy, Early Intervention, Knowledge Level
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Brignell, Amanda; Williams, Katrina; Jachno, Kim; Prior, Margot; Reilly, Sheena; Morgan, Angela T. – Journal of Autism and Developmental Disorders, 2018
This study used a prospective community-based sample to describe patterns and predictors of language development from 4 to 7 years in verbal children (IQ = 70) with autism spectrum disorder (ASD; n = 26-27). Children with typical language (TD; n = 858-861) and language impairment (LI; n = 119) were used for comparison. Children with ASD and LI had…
Descriptors: Autism, Pervasive Developmental Disorders, Language Impairments, Predictor Variables
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Träff, Ulf; Olsson, Linda; Skagerlund, Kenny; Östergren, Rickard – Journal of Educational Psychology, 2020
This study examined cognitive precursors of hierarchical mathematical development. Six-year-old children (n = 258) were assessed on number skills, cognitive skills, and arithmetic 1 year prior to school entry. Skills in advanced arithmetic and advanced mathematics were assessed in Grades 3 and 6, respectively. Path analyses were computed and…
Descriptors: Young Children, Numeracy, Numbers, Mathematics Skills
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Barnes, Marcia A.; Clemens, Nathan H.; Fall, Anna-Mária; Roberts, Greg; Klein, Alice; Starkey, Prentice; McCandliss, Bruce; Zucker, Tricia; Flynn, Kylie – Journal of Educational Psychology, 2020
Cognitive skill differences that are apparent early in pre-kindergarten (pre-K) might provide predictive insights into risk for learning difficulties at school entry, particularly around early markers of risk for comorbid difficulties in early math and literacy. Domain-specific abilities (approximate number system or ANS acuity, phonological…
Descriptors: Cognitive Ability, Predictor Variables, Reading Skills, Mathematics Skills
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