The things (we think) we (ought to) do: Ideological processes and practices in teaching

Ideologies of education and of teaching are complex and layered, and they contain macro-social, institutional as well as micro-ideological levels. Building on cases from the UK and South Africa, this paper argues that notions of ‘professionalism’ among teachers display such ideological layering, and that such notions are heavily invested with interests that transcend the operational or institutional scales. In the case of the UK, we discuss the way in which a teacher described her experience of taking a degree course, exposing a rift between individual, experiential knowledge and institutional, organisational knowledge, characteristic of the large-scale transformations of the educational field in the UK. In the South African case, we show how a white teacher instructing black township children deploys images of the disciplined body that derive from the Apartheid ‘old order’. In both cases we see that views of professionalism are infused with micro-ideological, practical beliefs as well as with macro-ideological social and political views. In terms of the implications of our line of argument for teacher education we conclude that student teachers should be taught explicitly about the discourses by which teaching is constructed so that they are able to reflect more critically on their professional practice.     

Can giftedness be taught?

This study investigates the relationship between giftedness and strategic flexibility using cognitive training methodology. The two experiments showed that the metacognitive training influenced strategic flexibility and metacognition of students. The results further showed that it is much easier to enhance performance on closed problems than with open problems which call for creativity.     

Selective Imitation of In‐Group Over Out‐Group Members in 14‐Month‐Old Infants

Recent research has shown that infants are more likely to engage with in‐group over out‐group members. However, it is not known whether infants' learning is influenced by a model's group membership. This study investigated whether 14‐month‐olds (N = 66) selectively imitate and adopt the preferences of in‐group versus out‐group members. Infants watched an adult tell a story either in their native language (in‐group) or a foreign language (out‐group). The adult then demonstrated a novel action (imitation task) and chose 1 of 2 objects (preference task). Infants did not show selectivity in the preference task, but they imitated the in‐group model more faithfully than the out‐group model. This suggests that cultural learning is beginning to be truly cultural by 14 months of age.     

Automated scoring in context: Rapid assessment for placed students

This study investigated the use of automated essay scoring (AES) to identify at-risk students enrolled in a first-year university writing course. An application of AES, the Criterion^® Online Writing Evaluation Service was evaluated through a methodology focusing on construct modelling, response processes, disaggregation, extrapolation, generalization, and consequence. Based on the results of our two-year study with students (N = 1,482) at a public technological research university in the United States, we found that Criterion offered a defined writing construct congruent with established models, achieved acceptance among students and instructors, showed no statistically significant differences between ethnicity groups of sufficient sample size, correlated at acceptable levels with other writing measures, performed in a stable fashion, and enabled instructors to identify at-risk students to increase their course success.     

Longitudinal monitoring of power output and heart rate profiles in elite cyclists

Abstract

Power output and heart rate were monitored for 11 months in one female ([Vdot]O_2max: 71.5 mL · kg^?1 · min^?1) and ten male ([Vdot]O_2max: 66.5 ± 7.1 mL · kg^?1 · min^?1) cyclists using SRM power-meters to quantify power output and heart rate distributions in an attempt to assess exercise intensity and to relate training variables to performance. In total, 1802 data sets were divided into workout categories according to training goals, and power output and heart rate intensity zones were calculated. The ratio of mean power output to respiratory compensation point power output was calculated as an intensity factor for each training session and for each interval during the training sessions. Variability of power output was calculated as a coefficient of variation. There was no difference in the distribution of power output and heart rate for the total season (P = 0.15). Significant differences were observed during high-intensity workouts (P < 0.001). Performance improvements across the season were related to low-cadence strength workouts (P < 0.05). The intensity factor for intervals was related to performance (P < 0.01). The variability in power output was inversely associated with performance (P < 0.01). Better performance by cyclists was characterized by lower variability in power output and higher exercise intensities during intervals.     

“Yes,we can!”: Perceptions of collective efficacy sources in volleyball

Abstract

Collective efficacy can be defined as a group's shared confidence that they will successfully achieve their goal. We examined which behaviours and events are perceived as sources of collective efficacy beliefs in a volleyball context. In Study 1, volleyball coaches from the highest volleyball leagues (n = 33) in Belgium indicated the most important sources of collective efficacy. This list was then adapted based on the literature and on feedback given by an expert focus group, resulting in a 40-item questionnaire. In Study 2, coaches and players from all levels of volleyball in Belgium (n = 2365) rated each of these sources on their predictive value for collective efficacy. A principal component analysis revealed that the 40 sources could be divided into eight internally consistent factors. Positive supportive communication (e.g. enthusiasm after making a point) was identified as the factor most predictive for positive collective efficacy beliefs. The factor referring to the negative emotional reactions of players (e.g. discouraging body language) was the most predictive for negative collective efficacy beliefs. These findings offer a starting point for the design of continuous measurements of collective efficacy through observation.     

Current State of Numerical Simulations and Testing for the Blast and Impact Protection of the Build Civil Engineering Infrastructure

The identification of the critical infrastructure has shown that the build civil engineering infrastructure is almost involved everywhere, even with the IT-infrastructure. Therefore, the passive safety of structures is demanded. Security associations have analysed that most assaults came along with explosion and impact scenarios, which amount in 80% of assaults. Consequently, these are the extraordinary loads the structures have to be planned and designed for. To carry out such an engineering job, the engineer has to be educated in multiple disciplines as physics, material science , continuum mechanics, numerical mechanics, testing, structural engineering and related specific fields as wave propagation etc. In this paper we will concentrate on the subjects of numerical simulation and testing.     

An examination of the relationship between athlete leadership and cohesion using social network analysis

Two studies investigated the structure of different athlete leadership networks and its relationship to cohesion using social network analysis. In Study 1, we examined the relationship between a general leadership quality network and task and social cohesion as measured by the Group Environment Questionnaire (GEQ). In Study 2, we investigated the leadership networks for four different athlete leadership roles (task, motivational, social and external) and their association with task and social cohesion networks. In Study 1, the results demonstrated that the general leadership quality network was positively related to task and social cohesion. The results from Study 2 indicated positive correlations between the four leadership networks and task and social cohesion networks. Further, the motivational leadership network emerged as the strongest predictor of the task cohesion network, while the social leadership network was the strongest predictor of the social cohesion network. The results complement a growing body of research indicating that athlete leadership has a positive association with cohesion.