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Direct linkChaturvedi, Ramesh Kumar; Verma, Vishal; Mishra, Kushendra – Smart Learning Environments, 2022
The objective of this research paper is to check the difference between pre and post-session of the Brighter Minds based Cognitive Skill Training. The exploratory and descriptive research design is used in this study. In this investigation, the nine measurement variables are selected for the study such as memory, confidence, concentration,…
Descriptors: Cognitive Ability, Memory, Self Esteem, Intuition
Kriechel, Ben; Vetter, Tim – European Training Foundation, 2019
This report focuses on a critical concern for the European Training Foundation's (ETF's) partner countries and other countries of the around the world. Skills mismatch is recognised as a major challenge by policy makers, practitioners and social partners, as it is often associated with dynamic social and economic contexts such as restructuring…
Descriptors: Foreign Countries, Job Skills, Labor Market, Supply and Demand
Mahdi, Hassan Saleh – Journal of Educational Computing Research, 2018
Mobile devices are considered as the most widely used information and communication technologies. They have provided great advantages in language learning. This study reports a meta-analysis of the effectiveness of using mobile devices on vocabulary learning. A meta-analysis was conducted on research that compared the outcomes from students…
Descriptors: Instructional Effectiveness, Handheld Devices, Electronic Learning, Educational Technology
Kimmons, Royce; Clark, B.; Lim, M. – Journal of Computer Assisted Learning, 2017
This study sought to understand generational and role differences in web usage of teachers, teacher candidates and K-12 students in a state in the USA (n = 2261). The researchers employed unique methods, which included using a custom-built persistent web browser to track user behaviours free of self-report, self-selection and perception bias.…
Descriptors: Internet, Preservice Teachers, Age Differences, Web Sites
Download full textGray, Geraldine; McGuinness, Colm; Owende, Philip; Hofmann, Markus – Journal of Learning Analytics, 2016
This paper reports on a study to predict students at risk of failing based on data available prior to commencement of first year. The study was conducted over three years, 2010 to 2012, on a student population from a range of academic disciplines, n=1,207. Data was gathered from both student enrollment data and an online, self-reporting,…
Descriptors: Prediction, At Risk Students, Academic Failure, College Freshmen
Isenberg, Eric; Teh, Bing-ru; Walsh, Elias – Journal of Research on Educational Effectiveness, 2015
Researchers often presume that it is better to use administrative data from grades 4 and 5 than data from grades 6 through 8 for conducting research on teacher effectiveness that uses value-added models because (1) elementary school teachers teach all subjects to their students in self-contained classrooms and (2) classrooms are more homogenous at…
Descriptors: Teacher Effectiveness, Elementary School Students, Elementary School Teachers, Academic Achievement
Toplak, Maggie E.; Sorge, Geoff B.; Flora, David B.; Chen, Wai; Banaschewski, Tobias; Buitelaar, Jan; Ebstein, Richard; Eisenberg, Jacques; Franke, Barbara; Gill, Michael; Miranda, Ana; Oades, Robert D.; Roeyers, Herbert; Rothenberger, Aribert; Sergeant, Joseph; Sonuga-Barke, Edmund; Steinhausen, Hans-Christoph; Thompson, Margaret; Tannock, Rosemary; Asherson, Philip; Faraone, Stephen V. – Journal of Child Psychology and Psychiatry, 2012
Objective: To examine the factor structure of attention-deficit/hyperactivity disorder (ADHD) in a clinical sample of 1,373 children and adolescents with ADHD and their 1,772 unselected siblings recruited from different countries across a large age range. Hierarchical and correlated factor analytic models were compared separately in the ADHD and…
Descriptors: Attention Deficit Hyperactivity Disorder, Siblings, Factor Structure, Adolescents
Pruchno, Rachel; Hahn, Sarah; Wilson-Genderson, Maureen – International Journal of Aging and Human Development, 2012
One of the social identities held by people is defined by whether or not they smoke cigarettes. Although this identity can and does change for many people over the course of their lives, most research has not examined the effects of transitioning from a smoker to a non-smoker. Using a life span perspective, our analyses contrasted the extent to…
Descriptors: Smoking, Identification, Age Differences, Research
Soubelet, Andrea – Educational Gerontology, 2012
This article investigates whether computer use for leisure could mediate or moderate the relations between age and cognitive functioning. Findings supported smaller age differences in measures of cognitive functioning for people who reported spending more hours using a computer. Because of the cross-sectional design of the study, two alternative…
Descriptors: Cognitive Ability, Computer Use, Age Differences, Cognitive Measurement
Seo, Dong-Chul; Li, Kaigang – American Journal of Health Behavior, 2012
Objective: To examine longitudinal trajectories of perceived weight from adolescence to early adulthood by gender. Methods: We analyzed 9 waves (1997-2005) of data from the National Longitudinal Survey of Youth (N = 8302) using Mplus. Results: Perceived overweight increased over time among girls and did not level off until 23 years of age. Blacks…
Descriptors: Intervention, Adolescents, Young Adults, Obesity
Weitlauf, Amy S.; Cole, David A. – Journal of Abnormal Child Psychology, 2012
Attributional style models of depression in adults (Abramson et al. 1989, 1978) have been adapted for use with children; however, most applications do not consider that children's understanding of causal relations may be qualitatively different from that of adults. If children's causal attributions depend on children's level of cognitive…
Descriptors: Attribution Theory, Depression (Psychology), Cognitive Development, Models
Dan, Orrie; Sagi-Schwartz, Abraham; Bar-haim, Yair; Eshel, Yohanan – International Journal of Behavioral Development, 2011
People's response to stress depends to a large extent on their sense of perceived control over the situations they encounter. This longitudinal study of 136 children (70 girls) examined associations between attachment patterns and maternal sensitivity at 12 months of age, and perceived primary and secondary control at 11 years of age. Compared…
Descriptors: Infants, Attachment Behavior, Personality, Interaction
Mayer, Jamie F.; Murray, Laura L. – Journal of Communication Disorders, 2012
Purpose: Many adults with aphasia demonstrate concomitant deficits in working memory (WM), but such deficits are difficult to quantify because of a lack of validated measures as well as the complex interdependence between language and WM. We examined the feasibility, reliability, and internal consistency of an "n"-back task for…
Descriptors: Stimuli, Reaction Time, Aphasia, Short Term Memory
Petscher, Yaacov; Kershaw, Sarah; Koon, Sharon; Foorman, Barbara R. – Regional Educational Laboratory Southeast, 2014
Districts and schools use progress monitoring to assess student progress, to identify students who fail to respond to intervention, and to further adapt instruction to student needs. Researchers and practitioners often use progress monitoring data to estimate student achievement growth (slope) and evaluate changes in performance over time for…
Descriptors: Reading Comprehension, Reading Achievement, Elementary School Students, Secondary School Students
Petscher, Yaacov; Kershaw, Sarah; Koon, Sharon; Foorman, Barbara R. – Regional Educational Laboratory Southeast, 2014
Districts and schools use progress monitoring to assess student progress, to identify students who fail to respond to intervention, and to further adapt instruction to student needs. Researchers and practitioners often use progress monitoring data to estimate student achievement growth (slope) and evaluate changes in performance over time for…
Descriptors: Response to Intervention, Achievement Gains, High Stakes Tests, Prediction
