Academic self-concept,autonomous academic motivation,and academic achievement: Mediating and additive effects

Three conceptual models were tested to examine the relationships among academic self-concept, autonomous academic motivation, and academic achievement. This allowed us to determine whether 1) autonomous academic motivation mediates the relation between academic self-concept and achievement, 2) academic self-concept mediates the relation between autonomous academic motivation and achievement, or 3) both motivational constructs have an additive effect on academic achievement. A total of 925 high school students (404 boys and 521 girls) were asked to complete a questionnaire on two occasions separated by a year interval. Results from SEM analyses provided good support for the hypothesized model positing that autonomous academic motivation mediates the academic self-concept–academic achievement relation. Results are discussed in light of self-determination theory and self-concept theory.     

Giftedness and evidence for reproducibly superior performance: an account based on the expert performance framework

Giftedness researchers have long debated whether there is empirical evidence to support a distinction between giftedness and attained level of achievement. In this paper we propose a general theoretical framework that establishes scientific criteria for acceptable evidence of superior reproducible performance, which any theory of exceptional performance must explain. We review evidence for superior reproducible performance, generally emerging only after extended periods of deliberate practice that result in subsequent physiological adaptations and complex cognitive mechanisms. We also apply this framework to examine proposed evidence for innate talents. With the exception of fixed genetic factors determining body size and height, we were unable to find evidence for innate constraints to the attainment of elite achievement for healthy individuals.     

Modeling Student Cognition in Digital and Nondigital Assessment Environments

Inferences about student knowledge, skills, and attributes based on digital activity still largely come from whether students ultimately get a correct result or not. However, the ability to collect activity stream data as individuals interact with digital environments provides information about students’ processes as they progress through learning activities. These data have the potential to yield information about student cognition if methods can be developed to identify and aggregate evidence from diverse data sources. This work demonstrates how data from multiple carefully designed activities aligned to a learning progression can be used to support inferences about students’ levels of understanding of the geometric measurement of area. The article demonstrates evidence identification and aggregation of activity stream data from two different digital activities, responses to traditional assessment items, and ratings based on observation of in-person non-digital activity aligned to a common learning progression using a Bayesian Network approach.     

Positively Different: Art and Design in Special Education

This article explores issues of ‘difference’ in terms of identity for disabled pupils, including those with special educational needs in the context of art and design education. By focusing on body image and fashion, positive and negative views of those with a different identity, in relation to inclusion and visibility, in society and formal schooling are addressed. Inclusive values for those in a special school are identified and promoted with reference to a particular project in art and design.