A comparison of the responses of first and second year veterinary science students to group project work

A change in curriculum permitted a direct and simultaneous comparison between first and second year responses to group project work while assuming similar prior experience with this method of learning. Responses were obtained by a survey form and by meetings with individual groups. Overall, there were no differences between first and second year responses, although analyses of gender responses suggested trends whereby males indicated they had developed greater creativity and felt they had contributed more to the group. The majority of students responded that group project work was a positive experience and a useful learning experience.

Shadowing experiences and the extension of communities of practice: A case study of women education managers

Recent developments in workplace learning have focused on relational and social network views of learning that introduce practitioners to the norms, values and assumptions of the workplace as well as the learning processes through which knowledge is acquired. This article reports on a qualitative study of a mentoring programme designed to assist women education managers gain promotion by broadening their networks and stimulating insights into the senior management positions for which they were being prepared. The findings are that members reflexively assess and reassess goals and values to demystify knowledge and resolved cognitive dissonance in these processes. Moreover, this article shows that women participants learn from the networks, and that the networks learn from the participant in a reciprocal and informal way. The article concludes that organizational learning programmes must focus on enabling such networks to flourish.

A community nurse referral system for HMRs: Can it work?

The HMR model contains a mechanism whereby anyone who is concerned about the risk of medication misadventure can request a HMR from the patient's GP. Since nurses are widely involved in a range of triage and gatekeeping roles, utilising their primary care skills to identify patients for a HMR is a logical extension of this role. Furthermore, community nurses visit their clients in the home situation and see many difficulties the client may be experiencing at first hand. They are therefore well placed to request specialist assistance for the client. Blue Care in Brisbane, a community nursing service, approached its local Division of General practice to determine how best to request HMRs for its clients. The Division contacted The University of Queensland which initiated this study to engage the health care team to tailor the established HMR request process to the needs of community nurses and test the system developed. (non-author abstract)

Making it work: Identifying the challenges of collaborative international research

In this article, we explore the challenges - and benefits - of conducting collaborative research on an international scale. The authors - from Australia, Canada, and New Zealand - draw upon their experiences in designing and conducting a three-country study. The growing pressures on scholars to work in collaborative research teams are described, and key findings and reflections are presented. It is claimed that such work is a highly complex and demanding extension to the academic's role. The authors conclude that, despite the somewhat negative sense that this reflection may convey, the synergies gained and the valuable comparative learning that took place make overcoming these challenges a worthwhile process. The experiences as outlined in this paper suggest that developing understandings of the challenges inherent in undertaking international collaborative research might well be a required component of the professional development opportunities afforded to new scholars.

Playing in continuous spaces: Some analysis and extension of population-based incremental learning

As an alternative to traditional evolutionary algorithms (EAs), population-based incremental learning (PBIL) maintains a probabilistic model of the best individual(s). Originally, PBIL was applied in binary search spaces. Recently, some work has been done to extend it to continuous spaces. In this paper, we review two such extensions of PBIL. An improved version of the PBIL based on Gaussian model is proposed that combines two main features: a new updating rule that takes into account all the individuals and their fitness values and a self-adaptive learning rate parameter. Furthermore, a new continuous PBIL employing a histogram probabilistic model is proposed. Some experiments results are presented that highlight the features of the new algorithms.