Adolescents’ personal conceptions of intelligence: The development of a new scale and some exploratory evidence

This study presents the building of an instrument to measure personal conceptions of intelligence based upon Dweck research, and some exploratory evidence. The instrument is directed to adolescents, has got more items than the original one and incorporates new aspects, such as the importance of effort and ability in relation with personal conceptions of intelligence. The results of a factor analysis evidenced the existence of two distinct factors — a static and a dynamic one — that explain together 31.7% of the total variance. The internal consistency of the scales evidenced alpha coefficients between .74 and .80. The results of a test-retest reliability study (with a month interval) proved to be better for the static scale than to the the dynamic one, as well as the results of an external validity study (correlations with grade point average). Some differential exploratory studies showed differences in personal conceptions of intelligence related to school grades (5th to 11th): the scores increased from the 5th to the 11th grade, showing that older students were less “static” (more “dynamic”), and also related to the socio-economic status (high vs. low): the higher SES subjects appeared less “static” (more “dynamic”) than the lower SES subjects.     

“Lo que yo en realidad quería hacer”: Rationales of Latina/o DACA Recipients for Pursuing Careers as Teachers

The Urban Review - The decision to rescind Deferred Action for Childhood Arrivals (DACA) will have major repercussions amongst beneficiaries, especially in terms of employment. One of the sectors...     

Search for Symbol Sense Behavior: Students in Upper Secondary Education Solving Algebraic Physics Problems

Research in Science Education - Students in upper secondary education encounter difficulties in applying mathematics in physics. To improve our understanding of these difficulties, we examined...     

Individual differences in mathematical competence modulate brain responses to arithmetic errors: An fMRI study

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 competence. Do more competent individuals exhibit a different brain response to errors than less mathematically able individuals? These outstanding questions were addressed in the present functional Magnetic Resonance Imaging (fMRI) study through an investigation of which brain regions respond more to erroneously versus correctly solved arithmetic problems while a group of 24 adult participants with varying levels of mathematical competence solved problems of all four arithmetic operations. Despite high levels of accuracy, a robust main effect of accuracy (incorrect vs. correct) was observed in both medial and lateral regions of the prefrontal cortex. These regions have frequently been associated with both the detection of errors and the deployment of cognitive control following an error. Furthermore, mathematical competence was found to modulate the activation of an area in the right dorsolateral prefrontal cortex. Specifically, individuals with relatively higher mathematical competence (n = 12) were found to activate this region more for incorrectly solved trials than their less mathematically competent peers (n = 12). Taken together, these findings suggest that the commission of arithmetic errors modulates responses of prefrontal regions and, moreover, that activation of the right lateral prefrontal cortex during arithmetic errors is affected by individual differences in mathematical competence. In view of the evidence associating the lateral prefrontal cortex with the implementation of cognitive control, we suggest that individuals with relatively high mathematical competence may exhibit greater awareness of calculation mistakes and implement greater control following the commission of errors.     

Disentangling the relationship between working memory and language: The roles of short-term storage and cognitive control

This study investigates the relationship between working memory and language in young children growing up in a multilingual environment. The aim is to explore whether mechanisms of short-term storage and cognitive control hold similar relations to emerging language skills and to investigate if potential links are mediated by related cognitive abilities. A sample of 119 Luxembourgish 6-year-olds completed several assessments of working memory (complex and simple span), native and foreign vocabulary, syntax, reading, rhyme awareness, and fluid intelligence. Results showed that short-term storage and cognitive control manifested differential links with developing language abilities: Whereas verbal short-term storage was specifically linked to vocabulary; cognitive control manifested unique and robust links with syntax and early reading development. The study suggests that in young children the working memory system is composed of separate but interacting components corresponding to short-term storage and cognitive control that can be distinguished by the roles they play in supporting language acquisition.     

Facilitating Understanding of Movements in Dynamic Visualizations: an Embodied Perspective

Learners studying mechanical or technical processes via dynamic visualizations often fail to build an accurate mental representation of the system’s movements. Based on embodied theories of cognition assuming that action, perception, and cognition are closely intertwined, this paper proposes that the learning effectiveness of dynamic visualizations could be enhanced by grounding the movements of the presentation in people’s own bodily experiences during learning. We discuss recent research on embodied cognition and provide specific strategies for how the body can be used to ground movements during the learning process: (1) making or observing gestures, (2) manipulating and interacting with objects, (3) using body metaphors, and (4) using eye movements as retrieval cues. Implications for the design of dynamic visualizations as well as directions for future research are presented.