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Perone, Sammy; Plebanek, Daniel J.; Lorenz, Megan G.; Spencer, John P.; Samuelson, Larissa K. – Child Development, 2019
Executive function (EF) plays a foundational role in development. A brain-based model of EF development is probed for the experiences that strengthen EF in the dimensional change card sort task in which children sort cards by one rule and then are asked to switch to another. Three-year-olds perseverate on the first rule, failing the task, whereas…
Descriptors: Executive Function, Role, Child Development, Toddlers
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Setoh, Peipei; Lee, Kristy J. J.; Zhang, Lijun; Qian, Miao K.; Quinn, Paul C.; Heyman, Gail D.; Lee, Kang – Child Development, 2019
This research investigated the relation between racial categorization and implicit racial bias in majority and minority children. Chinese and Indian 3- to 7-year-olds from Singapore (N = 158) categorized Chinese and Indian faces by race and had their implicit and explicit racial biases measured. Majority Chinese children, but not minority Indian…
Descriptors: Prediction, Racial Bias, Preschool Children, Classification
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Aust, Frederik; Haaf, Julia M.; Stahl, Christoph – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2019
Evaluative conditioning (EC) is a change in liking of neutral conditioned stimuli (CS) following pairings with positive or negative stimuli (unconditioned stimulus, US). A dissociation has been reported between US expectancy and CS evaluation in extinction learning: When CSs are presented alone subsequent to CS-US pairings, participants cease to…
Descriptors: Memory, Conditioning, Decision Making, Learning Processes
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Chai, Ching Sing; Hwee Ling Koh, Joyce; Teo, Yiong Hwee – Journal of Educational Computing Research, 2019
This study proposed a new conceptualization of technological pedagogical content knowledge (TPACK) that focuses exclusively on the intersection of technology, pedagogy, and content specifically for selected dimensions of 21st century learning. In addition, teachers' design beliefs were investigated with the teachers' TPACK. Given the…
Descriptors: Technological Literacy, Pedagogical Content Knowledge, Preservice Teachers, Instructional Design
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Keatlholetswe, Lesika; Malete, Leapetswe – Research Quarterly for Exercise and Sport, 2019
The coaching competency research has demonstrated the role of coaching efficacy and coaching behaviors on various athlete outcomes. However, athlete perceptions of these relationships and how they affect performance are less understood. Purpose: This study examined if coaching efficacy is predictive of player perceptions of coaches' leadership…
Descriptors: Leadership Styles, Coaching (Performance), Athletes, Team Sports
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Tutkun, Tugay – Educational Policy Analysis and Strategic Research, 2019
Identification and recognition of the values that an individual possesses can help predict his future behaviors. In this context, it is important to examine the concept of values since it leads individual's preferences. It is also possible to see one's value orientation in profession choice. Individuals are expected to work in professions where…
Descriptors: Preservice Teachers, English Teachers, English (Second Language), Job Satisfaction
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Mustafa Alpaslan, Muhammet – Journal of Educational Research, 2019
The gender gap continues to exist in physics education. The author examines the gender-related differences in the relations and strengths among personal epistemologies, motivation, and achievement in physics among Turkish high school students. Established questionnaires were used to identify students' personal epistemologies, motivations and…
Descriptors: Physics, Gender Differences, Science Achievement, High School Students
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Albano, Anthony D.; Cai, Liuhan; Lease, Erin M.; McConnell, Scott R. – Journal of Educational Measurement, 2019
Studies have shown that item difficulty can vary significantly based on the context of an item within a test form. In particular, item position may be associated with practice and fatigue effects that influence item parameter estimation. The purpose of this research was to examine the relevance of item position specifically for assessments used in…
Descriptors: Test Items, Computer Assisted Testing, Item Analysis, Difficulty Level
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Esler, Amy; Hewitt, Amy; Hall-Lande, Jennifer; Pettingell, Sandra L.; Houseworth, James – Journal of Autism and Developmental Disorders, 2019
Individuals with autism spectrum disorder (ASD) have higher rates of co-occurring diagnoses and use of psychotropic medication prescriptions than people with other developmental disabilities. Few studies have examined these trends in samples of people with intellectual and developmental disabilities (IDD) with and without ASD. Using a random…
Descriptors: Drug Therapy, Autism, Pervasive Developmental Disorders, Developmental Disabilities
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Thulasi, Venkatraman; Steer, Robert A.; Monteiro, Iona M.; Ming, Xue – Autism: The International Journal of Research and Practice, 2019
In order to determine the effectiveness of a Gastrointestinal Severity Index to screen for gastrointestinal disorders, the Gastrointestinal Severity Index was administered to 135 children with autism spectrum disorders and 146 comparisons with and without gastrointestinal disorders. The mean Gastrointestinal Severity Index scores of the groups…
Descriptors: Symptoms (Individual Disorders), Pervasive Developmental Disorders, Autism, Pediatrics
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Dai, Meixia; Lin, Lizi; Liang, Jingjing; Wang, Zengjian; Jing, Jin – Journal of Autism and Developmental Disorders, 2019
Autistic traits and executive function (EF) were assessed in 413 typically developing children aged 6-9 years. The children were divided into the high- autistic-trait (HAT) and low-autistic-trait (LAT) groups based on their total autistic traits. Results suggested that there were gender differences in specific autistic traits in children with LAT.…
Descriptors: Gender Differences, Executive Function, Autism, Pervasive Developmental Disorders
Mongkhonvanit, Kritphong; Kanopka, Klint; Lang, David – Grantee Submission, 2019
MOOCs and online courses have notoriously high attrition [1]. One challenge is that it can be difficult to tell if students fail to complete because of disinterest or because of course difficulty. Utilizing a Deep Knowledge Tracing framework, we account for student engagement by including course interaction covariates. With these, we find that we…
Descriptors: Online Courses, Large Group Instruction, Knowledge Level, Learner Engagement
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Wampfler, Rafael; Klingler, Severin; Solenthaler, Barbara; Schinazi, Victor R.; Gross, Markus – International Educational Data Mining Society, 2019
The role of affective states in learning has recently attracted considerable attention in education research. The accurate prediction of affective states can help increase the learning gain by incorporating targeted interventions that are capable of adjusting to changes in the individual affective states of students. Until recently, most work on…
Descriptors: Affective Behavior, Prediction, Problem Solving, Mathematics
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Ryan Ziols – International Perspectives on Education and Society, 2019
This chapter considers some of the limit points of contemporary relations between International Large-Scale Assessments, learning analytic platforms, and theories of mind circulating in contemporary comparative and transnational educational policy discourses. First, aspects of the rise of Big Data and predictive analytics are historicized, with…
Descriptors: International Assessment, Measurement, Learning Analytics, Theory of Mind
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Erck, Ryan W.; Sriram, Rishi – Journal of College and University Student Housing, 2022
Interactions across campus have long been documented as an important component of understanding the college student experience. This is especially salient in relation to interactions with faculty and peers during a student's first year, when susceptibility for departure is high. However, it is likewise critical to understand how distinctive types…
Descriptors: Undergraduate Students, Living Learning Centers, Correlation, Models
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