Using microteaching to enhance teacher efficacy in pre-service teachers

This study examined pre-service teachers’ efficacy in relation to the utilisation of microteaching as an assessment tool for postgraduate education students in Australia. Three hundred and fifteen pre-service teachers completed the teacher efficacy survey and additional qualitative questions at Time 1 and 208 completed the survey and questions at Time 2. A principal components analysis conducted on the Time 1 survey data revealed teacher efficacy to be comprised of two components: ‘teacher efficacy in classroom management’ and ‘personal teacher efficacy’. Repeated measures ANOVAs conducted on the 208 participants who completed the survey at Time 1 and 2 revealed that efficacy on both components increased significantly over time, and that internet students had higher efficacy levels than internal students. The qualitative data revealed that pre-service teachers enter teaching in order to positively impact on children, yet are concerned about behaviour management in the classroom. In addition, this data highlighted the positive impact that microteaching had on their developing teacher identity.

Whitening Race: Essays In Social And Cultural Criticism In Australia

Aileen Moreton-Robinson has brought together scholars from a range of disciplines: philosophy, cultural and gender studies, education, social work, sociology and literary studies. All engage critically with the location of the social and discursive construction of whiteness.

Embedding 'philosophy in the classroom' in pre-service teacher education

The holistic conception of the troika, as described in the first chapter, centres on the relationship between the implicit and explicit teaching of values the nurturing of the specific dimensions of quality teaching and the opportunity to ‘walk the talk’ of the values education program through aspects such as practical citizenship (Lovat, Toomey, Clement, Crotty & Nielsen, 2009). It is proposed in this chapter that the conception can be realized through the embedding of Philosophy in the Classroom within pre-service teaching programs. The troika, a Russian sleigh with three horses, only function well when there is complete synergy and balance between all Classroom is a scaffold for ensuring that all three elements of the troika, namely, quality teaching, values education and service learning in the form of education for citizenship, exist within the classroom to achieve an optimal learning, growth and wellbeing for all students. For this to be more widely accomplished Philosophy in the Classroom and discusses how it constitutes a successful synergy and balance of the troika for effective teaching. It then proposes how it might be embedded into pre-service teacher education.

Co-creation in business service lifecycle management

Co-creation between customers and providers has recently gained more attention by business service providers as a promising endeavour. The different perspectives of co-creation - innovation, sourcing and marketing - are well deployed. From a provider’s point of view, the question of how to manage business services with respect to co-creation is vitally important. However, service engineering and service lifecycle management typically take a mostly internal, closed-loop approach, although a logical implication of acknowledging the value co-creation perspective on “service” would be to leverage customer and other stakeholder competences to the full extent. This paper aims at reconciling the perspectives of co-creation and makes a contribution by analysing where and how co-creation can be effectively utilised throughout the various stages of a generic business service lifecycle. The result will be a framework guiding companies in using co-creation when managing their business services.

A longitudinal study of the relationship between lifestyle and mental health among midlife and older women in Australia : findings from the Healthy Aging of Women Study

We investigated the temporal relationship between lifestyle and mental health among 564 midlife women. The mental health measured included anxiety, depression, and mental well-being; the lifestyle measures included body mass index (BMI), exercise, smoking, alcohol use, and caffeine consumption. We found that BMI was positively related with mental well-being (r = .316, p = .009); smokers had lower mental well-being than nonsmokers (β = 6.725, p = .006), and noncaffeine drinkers had higher mental well-being (β = 5, p = .023). Past alcohol-drinkers had less anxiety than nondrinkers (β = 1.135, p = .04). Therefore, lifestyle is predictive of mental health among midlife and older women.

Cyberbullying in social networking sites and blogs : legal issues for young people and schools

This article examines the social networking phenomenon that has been so readily embraced by school-age adolescents, in the context of its potential to contribute further to the mechanisms for and incidence of cyberbullying amongst school students. Cyberbullying in these online for a, as a misuse of technology to harass, intimidate, tease, threaten, abuse or otherwise terrorise peers, teachers and/or the school in general, is discussed from both the psychological perspective and in terms of its legal ramifications (both criminal and civil) in Australia. Some recommendations for proactive and preventative measures, education and policy adoptions are provided, together with general advice to parents, schools and adolescents on awareness of the risks involved and how young people might better protect themselves in light of that knowledge.

Improving matching process in social network

Online dating networks, a type of social network, are gaining popularity. With many people joining and being available in the network, users are overwhelmed with choices when choosing their ideal partners. This problem can be overcome by utilizing recommendation methods. However, traditional recommendation methods are ineffective and inefficient for online dating networks where the dataset is sparse and/or large and two-way matching is required. We propose a methodology by using clustering, SimRank to recommend matching candidates to users in an online dating network. Data from a live online dating network is used in evaluation. The success rate of recommendation obtained using the proposed method is compared with baseline success rate of the network and the performance is improved by double.

Diversity management for innovation in social enterprises in the UK

This paper examines the linkages between diversity management (DM), innovation and high performance in social enterprises. These linkages are explicated beyond traditional framing of DM limited to workforce composition, to include discussions of innovation through networked diversity practices; reconciliation; and funding options. The paper draws upon a UK-based national survey and the case study data. Multiple data collection methods were used, including semi-structured interviews, questionnaires and workshops with participant observation. NVivo and SPSS software packages were utilized in order to analyse the qualitative and quantitative data, respectively. We used thematic coding and cropping techniques in analysing the case studies in the paper. A broad range of conflicting and supporting literature was enfolded into the conversations and discussion. The paper demonstrates that social enterprises exhibit unique characteristics in terms of size and location, as well as their double remit to add value both economically and socially. As a conclusion, we argue for social enterprises to consider options for DM in the interests of maximization of innovation and business performance. We contend that further research is needed to describe how social entrepreneurs draw upon their various ‘diversity resources’ in the process of innovation

Improving matching process in social network using implicit and explicit user information

Personalised social matching systems can be seen as recommender systems that recommend people to others in the social networks. However, with the rapid growth of users in social networks and the information that a social matching system requires about the users, recommender system techniques have become insufficiently adept at matching users in social networks. This paper presents a hybrid social matching system that takes advantage of both collaborative and content-based concepts of recommendation. The clustering technique is used to reduce the number of users that the matching system needs to consider and to overcome other problems from which social matching systems suffer, such as cold start problem due to the absence of implicit information about a new user. The proposed system has been evaluated on a dataset obtained from an online dating website. Empirical analysis shows that accuracy of the matching process is increased, using both user information (explicit data) and user behavior (implicit data).