Information and Learning Experiences in the Cube: Vision, Implementation and Interaction

Executive Summary This project has commenced an exploration of learning and information experiences in the QUT Cube. Understanding learning in this environment has the potential to inform current implementations and future project development. In this report, we present early findings from the first phase of an investigation into what makes learning possible in the context of a giant interactive multi-media display such as the QUT Cube, which is an award-winning configuration that hosts several projects.

Get real : the development, implementation and evaluation of an intervention for primary aged children with High Functioning Autism

Children with Autism Spectrum Disorder experience difficulty in communication and in understanding the social world which can have negative consequences for their relationships, in managing emotions, and generally dealing with the challenges of everyday life. This thesis examines the effectiveness of the Active and Reflective components of the Get REAL program through the assessment of the detailed coding of video-recorded observations and longitudinal quantitative analysis. The aim of Get REAL is to increase the social, emotional, and cognitive learning of children with High Functioning Autism (HFA). Get REAL is a group program designed specifically for use in inclusive primary school settings. The Get REAL program was designed in response to the mixed success of generalisation of learning to new contexts of existing social skills programs. The theoretical foundation of Get REAL is based upon pedagogical theory and learning theory to facilitate transfer of learning, combined with experiential, individualised, evaluative and organisational approaches. This thesis is by publication and consists of four refereed journal papers; 1 accepted for publication and 3 that are under review. Paper 1 describes the development and theoretical basis of the Get REAL program and provides detail of the program structure and learning cycle. The focus of Paper 1 reflects the first question of interest in the thesis which is about the extent to which learning derived from participation in the program can be generalised to other contexts. Participants are 16 children with HFA ranging in age from 8-13 years. Results provided support for the generalisability of learning from Get REAL to home and school evidenced by parent and teacher data collected pre and post participation in Get REAL. Following establishment of the generalisation of learning from Get REAL, Papers 2 and 3 focus on the Active and Reflective components of the program in order to examine how individual and group learning takes place. Participants (N = 12) in the program are video-taped during the Active and Reflective Sessions. Using identical coding protocols of video data, improvements in prosocial behaviour and diminishing of inappropriate behaviours were apparent with the exception of perspective taking. Data also revealed that 2 of the participants had atypical trajectories. An in-depth case study analysis was then conducted with these 2 participants in Paper 4. Data included reports from health care and education professionals within the school and externally (e.g., paediatrician) and identified the multi-faceted nature of care needed for children with comorbid diagnoses and extremely challenging family circumstances as a complex task to effect change. Results of this research support the effectiveness of the Get REAL program in promoting pro social behaviours such as improvements in engaging with others and emotional regulation, and in diminishing unwanted behaviours such as conduct problems. Further, the gains made by the participating children were found to be generalisable beyond Get REAL to home and other school settings. The research contained in the thesis adds to current knowledge about how learning can take place for children with HFA. Results show that an experiential learning framework with a focus on social cognition, together with explicit teaching, scaffolded with video feedback, are key ingredients for the generalisation of social learning to broader contexts.

An Australian study on partnerships to promote school to work transitions

The delivery of vocational education and training (VET) is being challenged by either increasing skills shortages and/or rapidly changing skill requirements. To respond to this challenge, centralised state bureaucracies are increasingly adopting partnerships between schools and industry as a strategy to encourage school to work transition programs to address the local labour market demand. This paper reports on an Australian case study of government-led partnerships named the Queensland Gateway to industry schools initiative. 12 out of 120 school industry partnerships from five industry sectors were analysed in terms of the two commonly identified principles derived from the public-private partnership literature; efficiency and effectiveness. The study found that efficiency and effectiveness benefits of partnership activities were attributed to Gateway schools projects by both school and industry stakeholders. However, little evidence was found that the above underlying principles were addressed systematically. Implications are that project stakeholders would benefit from adapting theoretical perspectives regarding the implementation and management of partnerships to ensure the sustainability of partnerships.

School industry partnerships : An innovative strategy for vocational education

One of the challenges confronting contemporary education internationally is to ensure that students are provided with opportunities to make informed choices about future careers and to acquire the capacity to transition into these careers. Schools need to manage their curricula, teacher capacity, timetables, and diversity of student populations by offering pathways that are seen as engaging and meaningful to life beyond schooling. Traditionally, education in the senior years has privileged those students who intend to progress to advanced studies at university or in other professional careers. In more recent times, in response the need for more sophisticated technical knowledge in the trades and a growing skills shortages in these fields, schools have paid more attention to vocational education. It has been argued that the vocational aspect of the school curriculum is less well understood and poorly implemented in comparison with the traditional academic curricula. One attempt to address this issue is through the establishment of school-industry partnerships. This paper explores the process of knowledge transfer between industry and schools in these partnerships. The paper theorises how knowledge that is valued and foundational in workplace employment can inform school curricula and pedagogical practices. The paper draws on theories of organisational knowledge, workplace learning and experiential learning to explore strategies that enhance school-to-employment transition outcomes.

A fuzzy TOPSIS based multi criteria performance measurement model for lean supply chain

Increasing global competition, rapid technological changes, advances in manufacturing and information technology and discerning customers are forcing supply chains to adopt improvement practices that enable them to deliver high quality products at a lower cost and in a shorter period of time. A lean initiative is one of the most effective approaches toward achieving this goal. In the lean improvement process, it is critical to measure current and desired performance level in order to clearly evaluate the lean implementation efforts. Many attempts have tried to measure supply chain performance incorporating both quantitative and qualitative measures but failed to provide an effective method of measuring improvements in performances for dynamic lean supply chain situations. Therefore, the necessity of appropriate measurement of lean supply chain performance has become imperative. There are many lean tools available for supply chains; however, effectiveness of a lean tool depends on the type of the product and supply chain. One tool may be highly effective for a supply chain involved in high volume products but may not be effective for low volume products. There is currently no systematic methodology available for selecting appropriate lean strategies based on the type of supply chain and market strategy This thesis develops an effective method to measure the performance of supply chain consisting of both quantitative and qualitative metrics and investigates the effects of product types and lean tool selection on the supply chain performance Supply chain performance matrices and the effects of various lean tools over performance metrics mentioned in the SCOR framework have been investigated. A lean supply chain model based on the SCOR metric framework is then developed where non- lean and lean as well as quantitative and qualitative metrics are incorporated in appropriate metrics. The values of appropriate metrics are converted into triangular fuzzy numbers using similarity rules and heuristic methods. Data have been collected from an apparel manufacturing company for multiple supply chain products and then a fuzzy based method is applied to measure the performance improvements in supply chains. Using the fuzzy TOPSIS method, which chooses an optimum alternative to maximise similarities with positive ideal solutions and to minimise similarities with negative ideal solutions, the performances of lean and non- lean supply chain situations for three different apparel products have been evaluated. To address the research questions related to effective performance evaluation method and the effects of lean tools over different types of supply chains; a conceptual framework and two hypotheses are investigated. Empirical results show that implementation of lean tools have significant effects over performance improvements in terms of time, quality and flexibility. Fuzzy TOPSIS based method developed is able to integrate multiple supply chain matrices onto a single performance measure while lean supply chain model incorporates qualitative and quantitative metrics. It can therefore effectively measure the improvements for supply chain after implementing lean tools. It is demonstrated that product types involved in the supply chain and ability to select right lean tools have significant effect on lean supply chain performance. Future study can conduct multiple case studies in different contexts.

The experience of being an advanced practice nurse within Australian acute care settings : a systematic review of qualitative evidence

Background There is a vast amount of international literature which, although agreeing on the need for advanced practice nurse roles, simultaneously debates and discusses the difficulties with nomenclature, definition and subsequent implementation of such roles. Due to this ambiguity it is difficult to equally compare evidence in this field across different countries. A context-specific systematic review on the qualitative evidence of the experience of being an advanced practice nurse in Australia has not been undertaken previously, however it is imperative for nursing managers and leaders to understand the complexities of advanced nursing roles in order to effectively utilise and retain these experienced and valuable nurses. With the creation of a national nursing regulating authority in 2010, it is timely to explore in-depth the experience of being an advanced practice nurse from a national perspective. Objective To identify the experience of being an advanced practice nurse working in Australian acute care settings. Inclusion criteria -Types of participants Registered nurses working in advanced practice roles in acute care settings throughout Australia. -Phenomena of interest The experience of being an advanced practice registered nurse working in an Australian acute care setting, as reported by the nurses themselves. -Types of studies Interpretive qualitative studies including designs such as phenomenology, grounded theory and ethnography. -Search strategy A three step search strategy was used to identify published and unpublished studies. The search process was conducted from August to October 2011 and considered published and unpublished studies from 1990 to October 2011. -Methodological quality Studies were appraised for methodological quality by two independent reviewers using the Joanna Briggs Qualitative Assessment and Review Instrument. -Data extraction Data was extracted from the papers included in the review using the standardised Joanna Briggs Institute Qualitative Assessment and Review Instrument data extraction tool. -Data synthesis Research findings were pooled using the Joanna Briggs Institute Qualitative Data and Review Instrument. Results Three published studies and one unpublished dissertation were included in the review. From these four studies, 216 findings were extracted, forming 18 categories which were then analysed to create six synthesised findings. Six meta-syntheses under the headings of expert knowledge, confidence, education, relationships, negative experiences and patient centred experience were formed from the findings. Conclusions The synthesised findings confirm that the experience of advanced practice nurses in Australian acute care settings is complex and greatly influenced personally and professionally by the organisation as well as the unpredictable nature of working with people.

A business engineering approach to client relationship management in a knowledge based firm

This thesis examines Customer Relationship Management and how the capabilities of an organisation to innovate can be enhanced via its implementation in a Knowledge Based Firm. The research identifies current customer knowledge components within an organisation and identifies for future use, CRM components for implementation within a Knowledge Based Firm. Opinions from a panel of experts' are identified for best practice customer relationship strategy, the most important CRM processes and identification of customer knowledge components that will form the basis of implementing a successful CRM to gain a competitive advantage through enhancing the innovative capability for a Knowledge Based Firm.

Road crashes and long term disabilities : Implications for policy and its implementation in Cambodia

The number of road crashes leading to disabilities is increasing alarmingly and constitutes a significant public health problem in many countries. So far, very few studies have been conducted to explore the impacts on persons with disabilities due to road crashes, and their families. This gap in the literature is especially large for low income countries such as Cambodia. This review explored relevant publications to provide background on persons in Cambodia with disabilities due to road crashes and their families. The review adds to the limited knowledge base in this area and has the potential to provide information on contextual issues relevant to the experience of disability in other developing countries, such as poverty, stigma and lack of resources. The findings of this review form the first part of a PhD study that will contribute to the development of informed policy change leading towards a safer system for all road users, including persons with disabilities.

The impact of a social-cognitive teaching strategy on students with learning difficulties

This study examined the impact of a social-cognitive teaching strategy, the community of inquiry, on the functioning of six Year 4 students with learning difficulties. Results indicated that the students became more self-regulated in their learning and developed greater academic self-efficacy and stronger reading comprehension skills. Although the degree of development varied across the group, the results indicated that all six students (in addition to their class peers) benefited from actively engaging in scaffolded opportunities for intellectual and social exchange in a whole class setting. Accordingly, the findings of this study have implications for approaches to supporting the development and learning of students with learning difficulties.

Development, implementation and evaluation of a cancer survivor self-management care plan

Aim There is a growing population of people with cancer who experience physiological and psychological effects that persist long after treatment is complete. Interventions that enhance survivors’ self-management abilities might help offset these effects. The aim of this pilot study was to develop, implement and evaluate interventions tailored to assist patients to manage post-treatment health issues effectively. Method In this pre-post intervention cohort study, participants were recruited on completion of cancer treatment. Participants recruited preimplementation, who received usual care, comprised the control group. Participants recruited later formed the intervention group. In the intervention group, the Cancer Care Coordinator developed an individualised, structured Cancer Survivor Self-management Care Plan. Participants were interviewed on completion of treatment (baseline) and at three months. Assessments concerned health needs (CaSUN), self-efficacy in adjusting and coping with cancer and health-related quality of life (FACIT-B or FACT-C). The impact of the intervention was determined by independent t-tests of change scores. Results The intervention (n = 32) and control groups (n = 35) were comparable on demographic and clinical characteristics. Sample mean age was 54 + 10 years. Cancer diagnoses were breast (82%) and colorectal (18%). Statistically significant differences (p < 0.05) indicated improvement in the intervention group for: (a) functional well-being, from the FACIT, (Control: M = −0.69, SE = 0.91; Intervention: M = 3.04, SE = 1.13); and (b) self-efficacy in maintaining social relationships, (Control: M = −0.333, SE = 0.33; Intervention: M = 0.621, SE = 0.27). No significant differences were found in health needs, other subscales of quality of life, the extent and number of strategies used in coping and adjusting to cancer and in other domains of self-efficacy. Conclusions While the results should be interpreted with caution, due to the non-randomised nature of the study and the small sample size, they indicate the potential benefits of tailored self-management interventions warrant further investigation in this context.

Towards an integrated maturity model of asset management capabilities

Asset service organisations often recognize asset management as a core competence to deliver benefits to their business. But how do organizations know whether their asset management processes are adequate? Asset management maturity models, which combine best practices and competencies, provide a useful approach to test the capacity of organisations to manage their assets. Asset management frameworks are required to meet the dynamic challenges of managing assets in contemporary society. Although existing models are subject to wide variations in their implementation and sophistication, they also display a distinct weakness in that they tend to focus primarily on the operational and technical level and neglect the levels of strategy, policy and governance as well as the social and human resources – the people elements. Moreover, asset management maturity models have to respond to the external environmental factors, including such as climate change and sustainability, stakeholders and community demand management. Drawing on five dimensions of effective asset management – spatial, temporal, organisational, statistical, and evaluation – as identified by Amadi Echendu et al. [1], this paper carries out a comprehensive comparative analysis of six existing maturity models to identify the gaps in key process areas. Results suggest incorporating these into an integrated approach to assess the maturity of asset-intensive organizations. It is contended that the adoption of an integrated asset management maturity model will enhance effective and efficient delivery of services.

Dynamic weaving in aspect oriented business process management

Reducing complexity in Information Systems is an important topic in both research and industry. One strategy to deal with complexity is separation of concerns, which results in less complex, easily maintainable and more reusable systems. Separation of concerns can be addressed through the Aspect Oriented paradigm. Although this paradigm has been well researched in programming, it is still at the preliminary stage in the area of Business Process Management. While some efforts have been made to extend business process modelling with aspect oriented capability, it has not yet been investigated how aspect oriented business process models should be executed at runtime. In this paper, we propose a generic solution to support execution of aspect oriented business process models based on the principle behind dynamic weaving of aspects. This solution is formally specified using Coloured Petri Nets. The resulting formal specification serves as the blueprint to the implementation of a service module in the framework of a state-of-the-art Business Process Management System. Using this developed artefact, a case study is performed in which two simplified processes from real business in the domain of banking are modelled and executed in an aspect oriented manner. Through this case study, we also demonstrate that adoption of aspect oriented modularization increases the reusability while reducing the complexity of business process models in practice.

A brief staff dementia education program : implementation and evaluation

Brief dementia education training programs appear to be effective in improving knowledge about dementia and self-confidence in interacting with patients with dementia. It is recommended that brief dementia training sessions be provided on a regular, on-going basis, particularly in view of frequent staff changes in the acute hospital environment.

New strategy toward dioxin risk reduction for local residents surrounding severe dioxin hotspots in Vietnam

Background A public health intervention program with active involvement of local related stakeholders was piloted in the Bien Hoa dioxin hot spot (2007-2009), and then expanded to the Da Nang dioxin hot spot in Vietnam (2009-2011). It aimed to reduce the risk of dioxin exposure through foods for local residents. This article presents the results of the intervention in Da Nang. Methodology To assess the results of this intervention program, pre-intervention and post-intervention knowledge-attitude-practice (KAP) surveys were implemented in 400 households, randomly selected from four wards surrounding Da Nang Airbase in 2009 and 2011, respectively. Results After the intervention, the knowledge on the existence of dioxin in food, dioxin exposure pathways, potential high risk foods and preventive measures significantly increased (p < 0.05). 98% were willing to follow advice on preventing dioxin exposure. Practices to reduce the risk of dioxin exposure also statistical significantly improved (p<0.05). After intervention, 60.4% of households undertook exposure preventive measures, significantly higher than that of the pre-intervention survey (39.6%; χ2 =40.15 , P<0.001). High risk foods had quite low rates of daily consumption (from 0% to 2.5%) and were significantly reduced (p<0.05). Conclusions This is seen as an effective intervention strategy toward reducing the risk of human exposure to dioxin at dioxin hot spots. While greater efforts are needed for remediating dioxin polluted areas inside airbases, there is also evidence to suggest that, during the past four decades, pollution has been expanding to the surrounding areas. For this reason, this model should be quickly expanded to the remaining dioxin hot spots in Vietnam to further reduce the exposure risk in these areas.

Design, implementation and multisite evaluation of a system suitability protocol for the quantitative assessment of instrument performance in liquid chromatography-multiple reaction monitoring-MS (LC-MRM-MS)

Multiple reaction monitoring (MRM) mass spectrometry coupled with stable isotope dilution (SID) and liquid chromatography (LC) is increasingly used in biological and clinical studies for precise and reproducible quantification of peptides and proteins in complex sample matrices. Robust LC-SID-MRM-MS-based assays that can be replicated across laboratories and ultimately in clinical laboratory settings require standardized protocols to demonstrate that the analysis platforms are performing adequately. We developed a system suitability protocol (SSP), which employs a predigested mixture of six proteins, to facilitate performance evaluation of LC-SID-MRM-MS instrument platforms, configured with nanoflow-LC systems interfaced to triple quadrupole mass spectrometers. The SSP was designed for use with low multiplex analyses as well as high multiplex approaches when software-driven scheduling of data acquisition is required. Performance was assessed by monitoring of a range of chromatographic and mass spectrometric metrics including peak width, chromatographic resolution, peak capacity, and the variability in peak area and analyte retention time (RT) stability. The SSP, which was evaluated in 11 laboratories on a total of 15 different instruments, enabled early diagnoses of LC and MS anomalies that indicated suboptimal LC-MRM-MS performance. The observed range in variation of each of the metrics scrutinized serves to define the criteria for optimized LC-SID-MRM-MS platforms for routine use, with pass/fail criteria for system suitability performance measures defined as peak area coefficient of variation <0.15, peak width coefficient of variation <0.15, standard deviation of RT <0.15 min (9 s), and the RT drift <0.5min (30 s). The deleterious effect of a marginally performing LC-SID-MRM-MS system on the limit of quantification (LOQ) in targeted quantitative assays illustrates the use and need for a SSP to establish robust and reliable system performance. Use of a SSP helps to ensure that analyte quantification measurements can be replicated with good precision within and across multiple laboratories and should facilitate more widespread use of MRM-MS technology by the basic biomedical and clinical laboratory research communities.