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Ball, B. Hunter; Brewer, Gene A. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2018
The present study implemented an individual differences approach in conjunction with response time (RT) variability and distribution modeling techniques to better characterize the cognitive control dynamics underlying ongoing task cost (i.e., slowing) and cue detection in event-based prospective memory (PM). Three experiments assessed the relation…
Descriptors: Reaction Time, Cognitive Processes, Cues, Memory
Jung, Jae Yup – Journal for the Education of the Gifted, 2017
Three competing models of the career decision-making thought processes of adolescents of high intellectual ability were tested in this study. Survey data were collected from 664 intellectually gifted Australian adolescents and analyzed using structural equation modeling procedures. The finally accepted, optimal model suggested that, regardless of…
Descriptors: Foreign Countries, Adolescents, Gifted, Career Choice
Costley, Jamie; Lange, Christopher – Electronic Journal of e-Learning, 2017
Instructional design is an important aspect of the learning experience within formal online courses. One way in which online instructional design may benefit students is by increasing their future behavioral intention to use educational materials. This is important because research has revealed that students' use of educational resources is…
Descriptors: Educational Technology, Electronic Learning, Difficulty Level, Cognitive Processes
Kovac, Velibor Bobo; Cameron, David Lansing; Høigaard, Rune – Educational Psychology, 2016
Understanding the underlying processes influencing college students' academic achievement represents an important goal of educational research. The aim of the present study was to examine the utility of the extended Theory of Planned Behaviour (TPB) and the relative influence of cognitive processes and measures of past behaviour in the prediction…
Descriptors: Behavior Theories, Grades (Scholastic), College Students, Cognitive Processes
Aharony, Noa; Bar-Ilan, Judit – Interdisciplinary Journal of e-Skills and Lifelong Learning, 2016
MOOCs are open, online courses that use information technologies to enhance the learning experience and attract various people from the entire world. The current study uses the Technology Acceptance Model (TAM), as well as personal characteristics such as learning strategies, cognitive appraisal, and Kuhlthau's (1991) model of information seeking…
Descriptors: Online Courses, Large Group Instruction, Student Attitudes, Technology Uses in Education
del Barrio-García, Salvador; Arquero, José L.; Romero-Frías, Esteban – Educational Technology & Society, 2015
As long as students use Web 2.0 tools extensively for social purposes, there is an opportunity to improve students' engagement in Higher Education by using these tools for academic purposes under a Personal Learning Environment approach (PLE 2.0). The success of these attempts depends upon the reactions and acceptance of users towards e-learning…
Descriptors: Foreign Countries, Learning Experience, Electronic Learning, Satisfaction
Cognitive Attributions and Emotional Expectancies Predict Emotions in Mother-Adolescent Interactions
Lindsey, Eric W.; MacKinnon-Lewis, Carol; Frabutt, James M.; Campbell Chambers, Jessica – Journal of Early Adolescence, 2015
The purpose of this study was to examine adolescent's hostile attributions of mother's intent and emotional self-expectancies as contributors to expression of emotion between mothers and adolescents. Data were collected from 268 10- to 12-year-olds (133 girls, 135 boys) and their mothers. Each dyad was observed in a conversational activity that…
Descriptors: Parent Child Relationship, Mothers, Emotional Response, Cognitive Processes

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