Re-engaging learners in schooling through applied learning reform : exploring the Victorian Certificate of Applied Learning as an 'alternative' senior schooling pathway in Australia

The Victorian Certificate of Applied Learning (VCAL) emerged in Australia to provide more relevant curriculum programs that would cater for increasing retention rates of high school students. It is also an example of the ‘new’ learning arising from contemporary debates and reforms that highlight inadequacies of the more traditional modes of learning. This book focuses on the pedagogical and sociological issues emerging from the VCAL being introduced as an ‘alternative’ learning pathway for ‘at-risk’ students within a traditional high school culture. Through the eyes of an insider- researcher, the book argues for a deeper understanding of applied learning as a ‘re-engaging’ pedagogy by studying the schooling experience of VCAL students and teachers. The book concludes that traditional modes of school teaching contribute to the social construction of ‘at-risk’ students and argues that high school pedagogy needs to be redefined as a cultural phenomenon requiring teachers to be reflexively aware of their role in bridging the gap between students’ life experiences and the curriculum.

Examining the development of the Victorian Certificate of Applied Learning and its implications for schools and teacher education in Australia

The Victorian Certificate of Applied Learning (VCAL) is a very successful senior secondary school qualification introduced in the Australian state of Victoria in 2002. Applied learning in the VCAL engages senior students in a combination of work-based learning, service-learning, and project-based learning and aims to provide them with the skills, knowledge, and attitudes to make informed choices regarding pathways to work and further education. The program has enjoyed rapid growth and its system-wide adoption by Victorian secondary schools, Technical and Further Education (TAFE) institutions, Registered Training Organizations (RTOs), and Adult and Community Education (ACE) providers has broadened significantly the range of senior schooling pathway options for young people. This paper will examine reasons for developing an applied learning senior secondary certificate and its rapid growth in Victoria since 2002. The authors draw on a number of case studies to profile the unique nature of applied learning in the VCAL, including its dimensions of service learning, work-based learning, and project-based learning. These case studies are also used to discuss a number of implications that have emerged from the use of applied learning in the VCAL, including approaches to teaching and assessment that will support applied learning and the development of new partnerships between VCAL providers and community partners. Finally, the paper considers significant implications the VCAL has created for teacher education in Victoria by discussing the new Graduate Diploma of Education (Applied Learning) developed by Deakin University.

Land use change and impacts on nutrient loads using GIS

Land use change and its impacts on nutrient loads were investigated for the Glenelg-Hopkins Catchment in south-west Victoria, Australia. The study involved a cross-disciplinary approach comprising of remote sensing, Geographical Information Systems, spatial and statistical modelling to identify relationships between land use and stream water quality over a large regional catchment of 27,000 square kilometers.

Improving prediction interval quality : a genetic algorithm-based method applied to neural networks

The delta technique has been proposed in literature for constructing
prediction intervals for targets estimated by neural networks. Quality of constructed prediction intervals using this technique highly depends on neural network characteristics. Unfortunately, literature is void of information about how these dependences can be managed in order to optimize prediction intervals. This study attempts to optimize length and coverage probability of prediction intervals through modifying structure and parameters of the underlying neural networks. In an evolutionary optimization, genetic algorithm is applied for finding the optimal values of network size and training hyper-parameters. The applicability and efficiency of the proposed optimization technique is examined and demonstrated using a real case study. It is shown that application of the proposed optimization technique significantly improves quality of constructed prediction intervals in term of length and coverage probability.

An applied framework for modelling a critical infrastructure system incident

The research applies the TARDIS system security analysis and modelling framework to an adverse critical infrastructure system incident. This paper reports on the practical application of the framework to a case study based on an actual critical infrastructure system failure and the resultant implications for the system and the wider regional community. Then a reflective discussion is undertaken reviewing the TARDIS framework approaches employed within the blended hybrid approach incorporated into the framework, before speculating on future research areas of framework development and application.

Construction of optimal prediction intervals for load forecasting problems

Short-term load forecasting is fundamental for the reliable and efficient operation of power systems. Despite its importance, accurate prediction of loads is problematic and far remote. Often uncertainties significantly degrade performance of load forecasting models. Besides, there is no index available indicating reliability of predicted values. The objective of this study is to construct prediction intervals for future loads instead of forecasting their exact values. The delta technique is applied for constructing prediction intervals for outcomes of neural network models. Some statistical measures are developed for quantitative and comprehensive evaluation of prediction intervals. According to these measures, a new cost function is designed for shortening length of prediction intervals without compromising their coverage probability. Simulated annealing is used for minimization of this cost function and adjustment of neural network parameters. Demonstrated results clearly show that the proposed methods for constructing prediction interval outperforms the traditional delta technique. Besides, it yields prediction intervals that are practically more reliable and useful than exact point predictions.

Teaching and live performances : applied theatre in universities and schools

This article compares the classroom process of school teachers and university lecturers to the activity of theatrical performance. In doing so, it probes the potential of live performance as an educational instrument. It concludes by tracing some of the history of applications of theatre to education, from the time of Brecht to the present day.

Exergy applied to lunar base design

This paper explores design considerations for energy efficiency in lunar habitats. It considers several previous lunar energy studies in regards to energy types and stages of energy requirements. If we are to obtain true sustainability in energy processes, we will need to design according to the principles “exergy”, considering both the first and the second laws of thermodynamics in a holistic and thorough evaluation of energy capture, transformation, and use. Such an evaluation will ascertain the source of energy, its processing and energy potential stages, as well as the task required. Traditional designs of facility thermal systems are frequently extremely wasteful: they dramatically increase both first costs and operating costs because they treat heating and cooling systems as separate entities, instead of an integrated energy system. Energy processes, the state of energy required to do a particular task, the embodied energy to complete or manufacture an object, and the wasted energy released are all important to conservation and obtaining an efficient and effective use (quality) of energy. If the regulation of energy processes is a concern in terrestrial habitation, it should be even more so for extra-terrestrial habitation where there is little margin for waste of any sort.

Good lives model applied to a forensic population

According to the good lives model (GLM) all human beings seek primary goods (i.e., activities or experiences that benefit them) and offending reflects attempts to pursue these goods in ways that are unacceptable to society and damaging to the individual and others. The aim of this article was to explore how the GLM can be developed for use with a forensic population, a heterogeneous group of individuals whose common feature is the interface of the criminal justice and mental health systems. The conceptual, clinical and philosophical implications of using the good lives model of forensic mental health (GLM-FM) are explored. Three case studies are used to illustrate the ways in which the enriched model can provide a holistic approach to conceptualizing offending that occurs in the context of mental illness and in guiding treatment planning. It is suggested that the augmented model provides a clinically flexible and ethically sound framework for formulating treatment issues for forensic patients.

Striving for a good life : the good lives model applied to released child molesters

The good lives model (GLM) is a strengths-based approach to offender rehabilitation in which treatment aims to equip offenders with the skills and resources necessary to satisfy primary goods, or basic human values, in personally meaningful and socially acceptable ways. The aim of the present research was to explore the practical utility of the GLM with a sample of released child molesters, and investigate the relationship between primary goods attainment and overall re-entry conditions (in terms of accommodation, social support and employment). Semi-structured interviews were conducted with 16 child molesters at one, three and six months following their release from prison. As expected, participants endorsed the majority of GLM primary goods with high importance, and positive re-entry experiences were associated with increased goods attainment. Implications for clinicians, policy makers and society as a whole are discussed.

Effectiveness of national elite sport policies : a multidimensional approach applied to the case of Flanders

While the results of nations in international sport competitions are most often used as an evaluation of effectiveness of elite sport policies, they do not take into account the long-term duration of an athletic career, nor the many confounding variables influencing international success. This paper argues that output evaluation is a one-sided approach to policy assessment. It applies a multidimensional approach to the measurement of the effectiveness of elite sports policy evaluation (meso-level) by examining a four-year cycle of elite sport policies in Flanders. This study endeavors to advance the development of a framework to assess effectiveness of elite sport policies of nations. Data were collected at multiple points of the input-throughput-output and feedback cycle. It was found that in spite of the increasing elite sport expenditures in Flanders (inputs), and notwithstanding the development of the throughputs (processes), this has not as yet lead to acceptable results (outputs) at an international level.