Mobilizing knowledge in the information age

The continuing evolution of the Canadian university-industry relationship, particularly in the past five or ten years, is discussed. The effects of the need for increased industrial funding of the universities and the need for capable graduates by industry are reviewed. But it is the increasing industry-university interface in science and technology that is changing most rapidly. Academic and industrial research overlap in many complex ways and if Canada is to be a competitive industrial country we must seek additional vehicles to bring working scientists and engineers from university and industry together.     

Problem- Versus Case-based Approaches in Teaching Medical Students about Eating Disorders: A controlled comparison

Fourth-year medical students were allocated randomly to either problem-based learning (PBL) or case-based learning (CBL) tutorials on the topic of eating disorders during their 6-week psychiatry attachment. All students were evaluated in terms of their tutorial performance and the factual knowledge they had acquired. In turn, students evaluated the performance of the tutors in both the PBL and the CBL process. No significant differences were found between the student groups with respect to their performance or acquired knowledge. Furthermore, there were no significant differences when comparing the PBL format with the CBL format with regard to group functioning or oral interaction between students. Finally, student ratings for tutor performance on feedback, group management skills and personal qualities showed no differences. Implications for education are discussed.     

Relative age effects in fitness testing in a general school sample: how relative are they?

When children or adolescents are grouped by age or year of birth, older individuals tend to outperform younger ones. These phenomena are known as relative age effects (RAEs). RAEs may result directly from differences in maturation, but may also be associated with psychological, pedagogic or other factors. In this article, we attempt to quantify RAEs in a simple fitness task and to identify the mechanisms operating.

Data come from a 5-year study of 2278 individuals that included repeated administrations of the 20 m shuttle run. We use mixed-effect modelling to characterise change over time and then examine residuals from these models for evidence of an effect for age relative to peers or for season of birth.

Age alone appears to account for RAEs in our sample, with no effects for age relative to peers or month of birth. Age grouping produces large disparities for girls under 12, moderate ones for boys of all ages and negligible ones for girls between 12 and 15.

RAEs for this task and population appear to arise from simple age differences. Similar methods may be useful in determining whether other explanations of RAEs are necessary in other contexts. Evaluation processes that take age into account have the potential to mitigate RAEs in general settings.