School-based approaches to pre-service primary science teacher education resulting in gains in confidence

The quality of science education has been the focus of a number of research projects nationally and internationally, including concerns about primary teachers’ lack of science knowledge and confidence to teach science. In addition, the effectiveness of traditional approaches to teacher education have been questioned. The Science Teacher Partnerships with Schools (STEPS) responds to these concerns by investigating the effectiveness of school-based approaches to pre-service primary science teacher education. It considers established, innovative and successful practices at five universities to develop and promote a framework supporting school-based approaches to pre-service teacher education. An analysis of the five models was conducted in 2013 involving interviews with teacher educators, pre-service teachers, and school principals and teachers. Pre-service teachers at these universities also engaged in pre- and post- online surveys generating data on their expectations and experiences associated with these experiences. This paper reports on the analysis of the survey data, which shows that there are statistically significant gains in pre-service teachers’ responses to several items relating to their confidence to teach science. Analysis of the data also shows interesting differences between universities noted in different confidence items. The school based experience was shown to provide these pre-service teachers with an authentic engagement with the teaching of science while being supported by their university tutors. While raising confidence at university does not automatically translate to confident early career teachers, the gains in confidence are an important step in assisting prospective teachers to approach the teaching of science more positively than they might otherwise. Implications for teacher education and the role that university-school partnerships can play in preparing confident teachers of science will be discussed.

The lived experience of volunteering in a palliative care biography service

OBJECTIVE: Many patients approaching death experience hopelessness, helplessness, and a depressed mood, and these factors can contribute to a difficult end-of-life (EoL) period. Biography services may assist patients in finding meaning and purpose at this time. The aim of our study was to investigate the lived experience of volunteers involved in a biography service in Melbourne, Australia, using a qualitative methodology. METHOD: The participants were 10 volunteers who had participated in a biography service within a private palliative care service. Each volunteer was interviewed separately using a study-specific semistructured interview guide. The transcripts of these interviews were then subjected to thematic analysis. RESULTS: Analysis yielded the following themes: motivations for volunteering; dealing with death, dying, and existential issues; psychosocial benefits of volunteering; and benefits and challenges of working with patients and their families. Our results indicated that volunteering gave the volunteers a deeper appreciation of existential issues, and helped them to be more appreciative of their own lives and gain a deeper awareness of the struggles other people experience. They also suggested that volunteers felt that their involvement contributed to their own personal development, and was personally rewarding. Furthermore, the results highlighted that volunteers found that encounters with family members were sometimes challenging. While some were appreciative, others imposed time limits, became overly reliant on the volunteers, and were sometimes offended, hurt, and angered by what was included in the final biography. SIGNIFICANCE OF RESULTS: It is hoped that the findings of the current study will provide direction for improvements in the biography services that will benefit patients, family members, and volunteers. In particular, our findings highlight the need to provide ongoing support for volunteers to assist them in handling the challenges of volunteering in a palliative care setting.

An exploration of the role and scope of the Clinical nurse consultant (CNC) in a metropolitan health service

Introduction

Clinical nurse consultants have been a part of the nursing workforce for some time however a lack of clarity regarding this role has led to significant variations in health service expectations, workloads and scope for the Clinical nurse consultants working within this metropolitan health service.

Aim

The aim of this study was to explore the role of the CNC as it is perceived by them, in the context of this health service.

Method

A qualitative approach was used for this study. Following ethics approval a single audio-taped focus group was undertaken to gather data. Guiding questions were used to elicit responses from the group, moderated by the co-investigators. The focus group was transcribed verbatim. Each researcher independently analysed the narrative data, using coding and clustering the data to develop primary and sub-themes.

Results

Whilst each participant experiences their role individually, there were four themes derived from comments expressed by the participants: ‘Diversity and conflict’, ‘Leaders but powerless’, ‘Support systems’ and ‘The portfolio holder role’.

Conclusion

The role of the Clinical nurse consultant is complex and diverse. The variability in the role suggests that organisational consensus of the role, scope and purpose of the CNC position has not been actualised, resulting in a lack of support systems, and an underutilisation of the Clinical nurse consultants as leaders, where they can challenge existing practice and guide future directions in care delivery.

Service level agreement management framework for utility-oriented computing platforms

With the increasing popularity of utility-oriented computing where the resources are traded as services, efficient management of quality of service (QoS) has become increasingly significant to both service consumers and service providers. In the context of distributed multimedia content adaptation deployment on service-oriented computing, how to ensure the stringent QoS requirements of the content adaptation is a significant and immediate challenge. However, QoS guarantees in the distributed multimedia content adaptation deployment on service-oriented platform context have not been accorded the attention it deserves. In this paper, we address this problem. We formulate the SLA management for distributed multimedia content adaptation deployment on service-oriented computing as an integer programming problem. We propose an SLA management framework that enables the service provider to determine deliverable QoS before settling SLA with potential service consumers to optimize QoS guarantees. We analyzed the performance of the proposed strategy under various conditions in terms of the SLA success rate, rejection rate and impact of the resource data errors on potential violation of the agreed upon SLA. We also compared the proposed SLA management framework with a baseline approach in which the distributed multimedia content adaptation is deployed on a service-oriented platform without SLA consideration. The results of the experiments show that the proposed SLA management framework substantially outperforms the baseline approach confirming that SLA management is a core requirement for the deployment of distributed multimedia content adaptation on service-oriented systems.

Developing primary pre-service teachers' mathematical content knowledge during practicum teaching

While it is recognised that a teachers' mathematical content knowledge (MCK) is crucial for teaching, less is known about when different categories of MCK develop during teacher education. This paper reports on two primary pre-service teachers, whose MCK was investigated during their practicum experiences in first, second and fourth years of a four-year Bachelor of Education program. The results identify when and under what conditions pre-service teachers' developed different categories of their MCK during practicum. Factors that assisted pre-service teachers to develop their MCK included program structure providing breadth and depth of experiences; sustained engagement for learning MCK; and quality of pre-service teachers' learning experiences.

A smart web service based on the context of things

Combining the Semantic Web and the Ubiquitous Web, Web 3.0 is for things. The Semantic Web enables human knowledge to be machine-readable and the Ubiquitous Web allows Web services to serve any thing, forming a bridge between the virtual world and the real world. By using context, Web services can become smarter-that is, aware of the target things' or applications' physical environments, or situations and respond proactively and intelligently. Existing methods for implementing context-aware Web services on Web 2.0 mainly enumerate different implementations corresponding to different attribute values of the context, in order to improve the Quality of Services (QoS). However, things in the physical world are extremely diverse, which poses new problems for Web services: it is difficult to unify the context of things and to implement a flexible smart Web service for things. This article proposes a novel smart Web service based on the context of things, which is implemented using a REpresentational State Transfer for Things (Thing-REST) style, to tackle the two problems. In a smart Web service, the user's description (semantic context) and sensor reports (sensing context) are two channels for acquiring the context of things which are then employed by ontology services to make the context of things machine-readable. With guidance of domain knowledge services, event detection services can analyze things' needs particularly, well through the context of things. We then propose a Thing-REST style to manage the context of things and user context, and to mashup Web services through three structures (i.e., chain, select, and merge) to implement smart Web services. A smart plant watering-service application demonstrates the effectiveness of our method. © 2012 ACM.

On the issuing policies for perishable items such as red blood cells and platelets in blood service

Red blood cells (RBCs) and platelets are examples of perishable items with a fixed shelf life. Recent studies show that transfusing fresh RBCs may lead to an improvement of patient outcomes. In addition, to better manage their inventory, hospitals prefer to receive fresh RBCs and platelets. Therefore, as well as minimizing outdates and shortages, reducing the average age of issue is a key performance criterion for blood banks. The issuing policy in a perishable inventory system has a substantial impact on the age of issue and outdate and shortage rates. Although several studies have compared the last in first out (LIFO) and the first in first out (FIFO) policies for perishable products, only a few studies have considered the situation of blood banks where replenishment is not controllable. In this study, we examine various issuing policies for a perishable inventory system with uncontrollable replenishment, and outline a modified FIFO policy. Our proposed modified FIFO policy partitions the inventory into two parts such that the first part holds the items with age less than a threshold. It then applies the FIFO policy in each part and the LIFO policy between the parts. We present two approximation techniques to estimate the average age of issue, the average time between successive outdates and the average time between successive shortages of the modified FIFO policy. Our analysis shows in several cases that where the objective function is a single economic function, or it is formulated as a multiobjective model, the modified FIFO policy outperforms the FIFO and LIFO policies.

An energy-aware QoS enhanced method for service computing across clouds and data centers

QoS plays a key role in evaluating a service or a service composition plan across clouds and data centers. Currently, the energy cost of a service's execution is not covered by the QoS framework, and a service's price is often fixed during its execution. However, energy consumption has a great contribution in determining the price of a cloud service. As a result, it is not reasonable if the price of a cloud service is calculated with a fixed energy consumption value, if part of a service's energy consumption could be saved during its execution. Taking advantage of the dynamic energy-Aware optimal technique, a QoS enhanced method for service computing is proposed, in this paper, through virtual machine (VM) scheduling. Technically, two typical QoS metrics, i.e., the price and the execution time are taken into consideration in our method. Moreover, our method consists of two dynamic optimal phases. The first optimal phase aims at dynamically benefiting a user with discount price by transparently migrating his or her task execution from a VM located at a server with high energy consumption to a low one. The second optimal phase aims at shortening task's execution time, through transparently migrating a task execution from a VM to another one located at a server with higher performance. Experimental evaluation upon large scale service computing across clouds demonstrates the validity of our method.

Consolidating service enginering perspectives

Similar with definition of 'service', the term 'service engineering' (SE) can be broadly defined based on the context and the referring domain. This paper explores the evolutionary definition of SE, with later emphasis on IT/IS perspective. The paper begin with general definition of service and service engineering before elaborating IT perspectives on IT. A review on service orientation, Service Oriented Architecture (SOA) and Service Oriented Methodology (SOM) is also provided in the final part, before concluded with conclusion and suggested future work. In a more general perspective of Service Science, SE is defined as a process of developing newly specified business service, while in IT perspective SE alternately defined as applying service-orientation approach in an enterprise and its IT infrastructure, closely related with SOA approach. Therefore, to consolidate both perspectives, SE can be applied for designing specific business services, as the original definition, combined with bottom up, or meet-in-the-middle approach in the conception of software services during the analysis.

Promoting cultural understandings through song across the Tasman: pre-service primary teacher education

As tertiary music educators across the Tasman we argue that music, particularly song, is an effective medium for teaching and learning about non-western music when preparing generalist primary Pre-Service Teachers (PSTs). Using ‘voice’ as a portable and accessible vehicle to transmit cultural understandings, we draw on the Zimbabwean proverb ‘if you can speak you can learn to sing and if you can walk you can learn to dance’ to foster music creativity and enhance literacy development and confidence in our PSTs. Using narrative methodology, we share our teaching and learning experience at Deakin University (Australia) and the University of Auckland (New Zealand) where we include African and Māori music respectively as effective ways to promote cultural understandings. In our experience, the teaching of song goes beyond teaching a tune or something that is ‘fun’. Rather, it is as an effective context for developing knowledge, skills and understandings about multiculturalism and the importance and need to be ‘inclusive of others’. PSTs gained socially, linguistically, cultural and emotionally, to name a few. We encourage other music educators at all education levels to be culturally and linguistically inclusive and to explore non-western music as a positive teaching and learning experience.

Power and participation: enhancing service user agency in social care

The research explored how community services organisations could enhance service user agency through a participatory approach to service development. It demonstrates, theoretically and empirically, how participation can offer individual empowerment and wellbeing benefits to service users, and deliver insights for organisations and government into how they could improve their services.

An energy-aware virtual machine scheduling method for service QoS enhancement in clouds over big data

Because of the strong demands of physical resources of big data, it is an effective and efficient way to store and process big data in clouds, as cloud computing allows on-demand resource provisioning. With the increasing requirements for the resources provisioned by cloud platforms, the Quality of Service (QoS) of cloud services for big data management is becoming significantly important. Big data has the character of sparseness, which leads to frequent data accessing and processing, and thereby causes huge amount of energy consumption. Energy cost plays a key role in determining the price of a service and should be treated as a first-class citizen as other QoS metrics, because energy saving services can achieve cheaper service prices and environmentally friendly solutions. However, it is still a challenge to efficiently schedule Virtual Machines (VMs) for service QoS enhancement in an energy-aware manner. In this paper, we propose an energy-aware dynamic VM scheduling method for QoS enhancement in clouds over big data to address the above challenge. Specifically, the method consists of two main VM migration phases where computation tasks are migrated to servers with lower energy consumption or higher performance to reduce service prices and execution time. Extensive experimental evaluation demonstrates the effectiveness and efficiency of our method.

The Performance and Service Life Prediction of High Performance Concrete in Sulfate and Acidic Environments

Concrete substructures are often subjected to environmental deterioration, such as sulfate and acid attack, which leads to severe damage and causes structure degradation or even failure. In order to improve the durability of concrete, the High Performance Concrete (HPC) has become widely used by partially replacing cement with pozzolanic materials. However, HPC degradation mechanisms in sulfate and acidic environments are not completely understood. It is therefore important to evaluate the performance of the HPC in such conditions and predict concrete service life by establishing degradation models. This study began with a review of available environmental data in the State of Florida. A total of seven bridges have been inspected. Concrete cores were taken from these bridge piles and were subjected for microstructural analysis using Scanning Electron Microscope (SEM). Ettringite is found to be the products of sulfate attack in sulfate and acidic condition. In order to quantitatively analyze concrete deterioration level, an image processing program is designed using Matlab to obtain quantitative data. Crack percentage (Acrack/Asurface) is used to evaluate concrete deterioration. Thereafter, correlation analysis was performed to find the correlation between five related variables and concrete deterioration. Environmental sulfate concentration and bridge age were found to be positively correlated, while environmental pH level was found to be negatively correlated. Besides environmental conditions, concrete property factor was also included in the equation. It was derived from laboratory testing data. Experimental tests were carried out implementing accelerated expansion test under controlled environment. Specimens of eight different mix designs were prepared. The effect of pozzolanic replacement rate was taken into consideration in the empirical equation. And the empirical equation was validated with existing bridges. Results show that the proposed equations compared well with field test results with a maximum deviation of ± 20%. Two examples showing how to use the proposed equations are provided to guide the practical implementation. In conclusion, the proposed approach of relating microcracks to deterioration is a better method than existing diffusion and sorption models since sulfate attack cause cracking in concrete. Imaging technique provided in this study can also be used to quantitatively analyze concrete samples.

A next application prediction service using the BaranC framework

Predicting user behaviour enables user assistant services provide personalized services to the users. This requires a comprehensive user model that can be created by monitoring user interactions and activities. BaranC is a framework that performs user interface (UI) monitoring (and collects all associated context data), builds a user model, and supports services that make use of the user model. A prediction service, Next-App, is built to demonstrate the use of the framework and to evaluate the usefulness of such a prediction service. Next-App analyses a user's data, learns patterns, makes a model for a user, and finally predicts, based on the user model and current context, what application(s) the user is likely to want to use. The prediction is pro-active and dynamic, reflecting the current context, and is also dynamic in that it responds to changes in the user model, as might occur over time as a user's habits change. Initial evaluation of Next-App indicates a high-level of satisfaction with the service.

A service-oriented user interaction analysis framework supporting adaptive applications

A comprehensive user model, built by monitoring a user's current use of applications, can be an excellent starting point for building adaptive user-centred applications. The BaranC framework monitors all user interaction with a digital device (e.g. smartphone), and also collects all available context data (such as from sensors in the digital device itself, in a smart watch, or in smart appliances) in order to build a full model of user application behaviour. The model built from the collected data, called the UDI (User Digital Imprint), is further augmented by analysis services, for example, a service to produce activity profiles from smartphone sensor data. The enhanced UDI model can then be the basis for building an appropriate adaptive application that is user-centred as it is based on an individual user model. As BaranC supports continuous user monitoring, an application can be dynamically adaptive in real-time to the current context (e.g. time, location or activity). Furthermore, since BaranC is continuously augmenting the user model with more monitored data, over time the user model changes, and the adaptive application can adapt gradually over time to changing user behaviour patterns. BaranC has been implemented as a service-oriented framework where the collection of data for the UDI and all sharing of the UDI data are kept strictly under the user's control. In addition, being service-oriented allows (with the user's permission) its monitoring and analysis services to be easily used by 3rd parties in order to provide 3rd party adaptive assistant services. An example 3rd party service demonstrator, built on top of BaranC, proactively assists a user by dynamic predication, based on the current context, what apps and contacts the user is likely to need. BaranC introduces an innovative user-controlled unified service model of monitoring and use of personal digital activity data in order to provide adaptive user-centred applications. This aims to improve on the current situation where the diversity of adaptive applications results in a proliferation of applications monitoring and using personal data, resulting in a lack of clarity, a dispersal of data, and a diminution of user control.