NotesFAQContact Us
Collection
Advanced
Search Tips
Showing 1 to 15 of 29 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Wolfe, Christopher R.; Fisher, Christopher R. – Learning and Individual Differences, 2013
Little is known about individual differences in integrating numeric base-rates and qualitative text in making probability judgments. Fuzzy-Trace Theory predicts a preference for fuzzy processing. We conducted six studies to develop the FPPI, a reliable and valid instrument assessing individual differences in this fuzzy processing preference. It…
Descriptors: Individual Differences, Cognitive Processes, Probability, Decision Making
Peer reviewed Peer reviewed
Direct linkDirect link
Meneghetti, Chiara; Pazzaglia, Francesca; De Beni, Rossana – Learning and Individual Differences, 2011
The present research investigates the role of individual differences in preference for adopting extrinsic frame of reference (EFR) in ability to represent mentally spatial information learned through survey and route descriptions. A sample of 191 participants (100 females and 91 males) was categorized as four groups with high (H-EFR), medium-high…
Descriptors: Sentences, Females, Spatial Ability, Males
Peer reviewed Peer reviewed
Direct linkDirect link
Tucker-Drob, Elliot M. – Learning and Individual Differences, 2013
Children whose parents are more highly educated enjoy greater age-linked gains in cognitive abilities and academic achievement. Different researchers have typically focused on different outcomes, and the extent to which parental education relates to multiple child outcomes via a single developmental pathway has received little empirical attention.…
Descriptors: Academic Achievement, Cognitive Ability, Age Differences, Cognitive Development
Peer reviewed Peer reviewed
Direct linkDirect link
Ansari, Daniel; Grabner, Roland H.; Koschutnig, Karl; Reishofer, Gernot; Ebner, Franz – Learning and Individual Differences, 2011
Data from both neuropsychological and neuroimaging studies have implicated the left inferior parietal cortex in calculation. Comparatively less attention has been paid to the neural responses associated with the commission of calculation errors and how the processing of arithmetic errors is modulated by individual differences in mathematical…
Descriptors: Computation, Arithmetic, Individual Differences, Diagnostic Tests
Peer reviewed Peer reviewed
Direct linkDirect link
Tucker-Drob, Elliot M.; Harden, K. Paige – Learning and Individual Differences, 2012
There is accumulating evidence that genetic influences on achievement are more pronounced among children living in higher socioeconomic status homes, and that these gene-by-environment interactions occur prior to children's entry into formal schooling. We hypothesized that one pathway through which socioeconomic status promotes genetic influences…
Descriptors: Twins, Socioeconomic Status, Mathematics Achievement, Learning Motivation
Peer reviewed Peer reviewed
Direct linkDirect link
Gullick, Margaret M.; Sprute, Lisa A.; Temple, Elise – Learning and Individual Differences, 2011
Individual differences in mathematics performance may stem from domain-general factors like working memory and intelligence. Parietal and frontal brain areas have been implicated in number processing, but the influence of such cognitive factors on brain activity during mathematics processing is not known. The relationship between brain mechanisms…
Descriptors: Mathematics Achievement, Intelligence Quotient, Short Term Memory, Brain Hemisphere Functions
Peer reviewed Peer reviewed
Direct linkDirect link
Fujisawa, Keiko K.; Wadsworth, Sally J.; Kakihana, Shinichiro; Olson, Richard K.; DeFries, John C.; Byrne, Brian; Ando, Juko – Learning and Individual Differences, 2013
This first Japanese twin study of early literacy development investigated the extent to which genetic and environmental factors influence individual differences in prereading skills in 238 pairs of twins at 42 months of age. Twin pairs were individually tested on measures of phonological awareness, "kana" letter name/sound knowledge,…
Descriptors: Twins, Preschool Children, Emergent Literacy, Early Reading
Peer reviewed Peer reviewed
Direct linkDirect link
Sarver, Dustin E.; Rapport, Mark D.; Kofler, Michael J.; Scanlan, Sean W.; Raiker, Joseph S.; Altro, Thomas A.; Bolden, Jennifer – Learning and Individual Differences, 2012
The current study examined individual differences in children's phonological and visuospatial short-term memory as potential mediators of the relationship among attention problems and near- and long-term scholastic achievement. Nested structural equation models revealed that teacher-reported attention problems were associated negatively with…
Descriptors: Remedial Programs, Structural Equation Models, Academic Failure, Academic Achievement
Peer reviewed Peer reviewed
Direct linkDirect link
Meneghetti, Chiara; De Beni, Rossana; Pazzaglia, Francesca; Gyselinck, Valerie – Learning and Individual Differences, 2011
This research investigates how visuo-spatial abilities (such as mental rotation--MR--and visuo-spatial working memory--VSWM--) work together to influence the recall of environmental descriptions. We tested a mediation model in which VSWM was assumed to mediate the relationship between MR and spatial text recall. First, 120 participants were…
Descriptors: Short Term Memory, Spatial Ability, Investigations, Correlation
Peer reviewed Peer reviewed
Direct linkDirect link
Schwinger, Malte; Steinmayr, Ricarda; Spinath, Birgit – Learning and Individual Differences, 2012
The self-regulation of motivation represents a key feature of self-regulated learning. Recent studies have documented that students use a variety of strategies to sustain their learning motivation and that most of these strategies have positive effects. However, less is known about how students integrate the various motivational strategies into an…
Descriptors: College Students, Motivation Techniques, Student Motivation, Learning Motivation
Peer reviewed Peer reviewed
Direct linkDirect link
Silvia, Paul J.; Sanders, Camilla E. – Learning and Individual Differences, 2010
The experience of interest is central to intrinsic motivation for learning, so it is important to understand the nature of interest and its sources. Individual differences in fluid intelligence (Gf) predict finding things more interesting, but it is possible that this effect is merely due to the overlap of Gf with openness to experience, a strong…
Descriptors: Intelligence, Learning Motivation, Individual Differences, Predictor Variables
Peer reviewed Peer reviewed
Direct linkDirect link
Cho, Seokhee – Learning and Individual Differences, 2010
The role of IQ in individual differences in real-life problem solving and strategies use was explored. Repeated trials of learning and recall of information from a map were analyzed with high IQ and average IQ Korean students. IQ correlated with the selection and use of strategies in recall. However, the performance and strategic behaviors of…
Descriptors: Intelligence Quotient, Metacognition, Maps, Individual Differences
Peer reviewed Peer reviewed
Direct linkDirect link
Rast, Philippe; Zimprich, Daniel – Learning and Individual Differences, 2010
This study aimed at modeling individual and average non-linear trajectories of positional learning using a structured latent growth curve approach. The model is based on an exponential function which encompasses three parameters: Initial performance, learning rate, and asymptotic performance. These learning parameters were compared in a positional…
Descriptors: Predictor Variables, Mathematics, Individual Differences, Models
Peer reviewed Peer reviewed
Direct linkDirect link
Lee, Yuan-Hsuan; Wu, Jiun-Yu – Learning and Individual Differences, 2012
With the prevalence of ICT, the concept of reading literacy has evolved to encompass both online reading and printed texts. This study clarifies the relationship between reading printed texts and online electronic texts from the perspective of individual differences in the inner and outer phases of ICT in a partial mediation model. We used the…
Descriptors: Reading Achievement, Individual Differences, Information Technology, Learner Engagement
Peer reviewed Peer reviewed
Direct linkDirect link
van Soelen, Inge L. C.; van den Berg, Stephanie M.; Dekker, Peter H.; van Leeuwen, Marieke; Peper, Jiska S.; Hulshoff Pol, Hilleke E.; Boomsma, Dorret I. – Learning and Individual Differences, 2009
We explored the genetic background of individual differences in dynamic measures of verbal learning ability in children, using a Dutch version of the Auditory Verbal Learning Test (AVLT). Nine-year-old twin pairs (N = 112 pairs) were recruited from the Netherlands Twin Register. When possible, an older sibling between 10 and 14 years old…
Descriptors: Twins, Verbal Learning, Genetics, Individual Differences
Previous Page | Next Page ยป
Pages: 1  |  2