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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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Xie, Qiuzhi; Zhang, Li-fang – Asia-Pacific Education Researcher, 2015
This study investigated the extent to which learning approaches can be accounted for by personal factors (i.e., demographics, ability, and personality). The participants were 443 students in a university in mainland China. The Revised Two-factor Study Process Questionnaire, the NEO Five-Factor Inventory-3, and the short form of Raven's Advanced…
Descriptors: Foreign Countries, Personality Traits, Predictor Variables, Demography
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Dodonova, Yulia A.; Dodonov, Yury S. – Intelligence, 2012
The relationships between processing speed, intelligence, and school achievement were analyzed on a sample of 184 Russian 16-year-old students. Two speeded tasks required the discrimination of simple geometrical shapes and the recognition of the presented meaningless figures. Raven's Advanced Progressive Matrices and the verbal subtests of…
Descriptors: Cognitive Processes, Intelligence, Academic Achievement, Adolescents