The CDM-Net project : the development, implementation and evaluation of a broadband-based network for managing chronic disease

Background. In Australia most chronic disease management is funded by Medicare Australia through General Practitioner Management Plans (GPMPs) and Team Care Arrangements (TCAs). Identified barriers may be reduced effectively using a broadband-based network known as the Chronic Disease Management Service (CDMS).

Aims. To measure the uptake and adherence to CDMS, test CDMS, and assess the adherence of health providers and patients to GPMPs and TCAs generated through CDMS.

Methods. A single cohort before and after study.

Results. GPMPs and TCAs increased. There was no change to prescribed medicines or psychological quality of life. Attendance at allied health professionals increased, but decreased at pharmacies. Overall satisfaction with CDMS was high among GPs, allied health professionals, and patients.

Conclusion. This study demonstrates proof of concept, but replication or continuation of the study is desirable to enable the impact of CDMS on diabetes outcomes to be determined.

Edge evaluation using necessary components

We classify all the different kinds of errors that can occur in edge detection and then develop measures for quantifying these errors. It is shown that these sets of measures are complete and independent and form necessary components of an edge-evaluation scheme. The principle that an edge-evaluation measure should have certain qualitative properties is used to develop a method for combining these error components into a single combined measure.

Evaluation of cassava peel waste as lowcost biosorbent for Ni-sorption : equilibrium, kinetics, thermodynamics and mechanism

The feasibility of cassava peel waste for Ni-sorption is evaluated in this work. The biosorbents are characterized by Boehm titration, Fourier transform-infra red (FTIR) spectroscopy, Nitrogen sorption, scanning electron microscopy-energy dispersive X-ray (SEM-EDX) analysis (e.g. elemental mapping) and X-ray photoelectron spectroscopy (XPS). Adsorption experiments are performed in batch mode at 30 °C (303.15 K), 45 °C (318.15 K) and 60 °C (333.15 K). The performance of several temperature dependence forms of isotherm models e.g. Langmuir, Freundlich, Sips and Toth to represent the adsorption equilibrium data is evaluated and contrasted. Sips model demonstrates the best fitting with the maximum uptake capacity for Ni(II) ions of 57 mg/g (0.971 mmol/g) at pH 4.5. For kinetic data correlation, pseudo-second order model shows the best representation. The chemisorption mechanism and thermodynamics aspect are also discussed.

Exploring new models of elite sport delivery : the case of triathlon in the USA and Australia

There is a growing body of knowledge that examines the tasks and processes for successful sport and recognizes that sport development activities undertaken within the framework of recruitment, retention, and transition should vary between sports and contexts. There has been little research that has examined newer models of sport development in emerging sports. This research examines elite sport development structure and delivery in the sport of triathlon in the USA and Australia. The research team conducted interviews with representatives responsible for the delivery and development of triathlon. The results show three overarching elements in elite sport development: (1) the sport development process, (2) the sport development setting, and (3) outsourcing delivery of sport development. Triathlon has different processes and settings for sport development between the USA and Australia. However, both countries share a core similarity in how they deliver elite sport through a third party organization. A discussion of the implications for the development of new models of elite sport development ensues.

Models of screening

This article describes models for disease screening and how they have developed in recent years. The discussion focuses on screening for cancer, because most of the methodological advances in screening design and evaluation have concerned cancer screening. The first part of the article describes the characteristics of these models and illustrates them with a discussion of a simple screening model. The second part describes the development, strengths, and weaknesses of the two main types of screening model—analytic and simulation models—with a particular focus on microsimulation models. The third part discusses model fitting and validation, and the final part briefly describes models for diseases other than cancer—in particular, models for screening for infectious diseases—and discusses the current state and possible future directions for models of disease screening.

A critical evaluation and comparison of two formative measures of system quality using criterion variables

Evaluating the validity of formative variables has presented ongoing challenges for researchers. In this paper we use global criterion measures to compare and critically evaluate two alternative formative measures of System Quality. One model is based on the ISO-9126 software quality standard, and the other is based on a leading information systems research model. We find that despite both models having a strong provenance, many of the items appear to be non-significant in our study. We examine the implications of this by evaluating the quality of the criterion variables we used, and the performance of PLS when evaluating formative models with a large number of items. We find that our respondents had difficulty distinguishing between global criterion variables measuring different aspects of overall System Quality. Also, because formative indicators “compete with one another” in PLS, it may be difficult to develop a set of measures which are all significant for a complex formative construct with a broad scope and a large number of items. Overall, we suggest that there is cautious evidence that both sets of measures are valid and largely equivalent, although questions still remain about the measures, the use of criterion variables, and the use of PLS for this type of model evaluation.

Towards a semantic quality based approach for business process models improvement

Business process (BP) modeling aims at a better understanding of processes, allowing deciders to improve them. We propose to support this modeling with an approach encompassing methods and tools for BP models quality measurement and improvement. In this paper we focus on semantic quality. The latter is evaluated by aligning BP model concepts with domain knowledge. The alignment is conducted thanks to meta-models. We also define validation rules for checking the completeness of BP models. A medical case study illustrates the main steps of our approach.

The influence of job, team and organizational level resources on employee well-being, engagement, commitment and extra-role performance : test of a model

Purpose – Worker well-being continues to be fundamental to the study of work and a primary consideration for how organizations can achieve competitive advantage and sustainable and ethical work practices (Cartwright and Holmes; Harter, Schmidt and Keyes; Wright and Cropanzano). The science and practice of employee engagement, a key indicator of employee well-being, continues to evolve with ongoing incremental refinements to existing models and measures. This study aims to elaborate the Job Demands-Resources model of work engagement (Bakker and Demerouti) by examining how organizational, team and job level factors interrelate to influence engagement and well-being and downstream outcome variables such as affective commitment and extra-role behaviour.

Design/methodology/approach – Structural equations modelling of survey data obtained from 3,437 employees of a large multi-national mining company was used to test the important direct and indirect influence of organizational focused resources (a culture of fairness and support), team focused resources (team climate) and job level resources (career development, autonomy, supervisor support, and role clarity) on employee well-being, engagement, extra-role behaviour and organizational commitment.

Findings – The fit of the proposed measurement and structural models met criterion levels and the structural model accounted for sizable proportions of the variance in engagement/wellbeing (66 percent), extra-role-behaviour (52 percent) and commitment (69 percent).

Research limitations/implications – Study limitations (e.g. cross-sectional research design) and future opportunities are outlined.

Originality/value – The study demonstrates important extensions to the Job Demands-Resources model and provides researchers and practitioners with a simple but powerful motivational framework, a suite of measures, and a map of their inter-relationships which can be used to help understand, develop and manage employee well-being and engagement and their outcomes.

Evaluation of delivery of the switched on secondary science professional learning (SOSSPL) program

The Switched On Secondary Science Professional Learning (SOSSPL) program consisted of three days professional learning. Days 1 and 2 were undertaken consecutively, with Day 3 following a break of several weeks. The break allowed sufficient time for teachers to undertake a small classroom-based project within one of the topics teachers will be teaching at the time. The program was designed to build teacher capacity to improve learning outcomes in secondary science.

Evaluation of delivery of the switched on secondary science professional learning (SOSSPL) program (2011-12)

The Switched On Secondary Science Professional Learning (SOSSPL) program consisted of three days professional learning for Victorian DEECD secondary science teachers. Days 1 and 2 were undertaken consecutively, with Day 3 following a break of several weeks. The break allowed sufficient time for teachers to undertake a small classroom-based project within one of the topics they were teaching at the time. The program was designed to build teacher capacity to improve student learning outcomes in secondary science.

The program supported teachers to plan and implement classroom sequences that focused on student construction and interpretation of different representations of the science concepts and processes that are described by the Victorian Essential Learning Standards (VELS): Science and the Science Continuum P-10. The Deakin University team in collaboration with the Department of Education and Early Childhood Development (DEECD) produced curriculum resources for the program that encapsulated a representational focus to the teaching and learning of science. The program explored and linked to core DEECD resources such as the e5 Instructional Model and the Science Continuum P-10.
The SOSSPL program was delivered in all Victorian DEECD regions in 2010-11 and was evaluated (Hubber et al, 2011). The program was delivered again in all Victorian DEECD regions in 2011-12. The evaluation of the 2011-12 program is reported here with some comparisons made to the findings from the previously delivered program.
This evaluation of the SOSSPL program involved an online survey, daily workshop evaluations, focus group and presentations data of the participating teachers’ classroom-based projects. The aim of the evaluation was to make a judgement about the effectiveness of the SOSSPL program in terms of building teacher capacity to improve student learning outcomes in secondary science.

A review of mathematical equations to assign individual marks from a team mark

BACKGROUND : Team-based learning is an integral part of engineering education today. Development of team skills is now a part of the curriculum at universities as employers demand these skills on graduates. Higher education institutions enforce academic staff to teach, practise and assess team skills, and at the same time, they ask academic staff to supply individual marks and/or grades. Allocating individual marks from a team mark is a very complex and sensitive task that may adversely affect both individual and team performance. A number of both qualitative and quantitative methods are available to address this issue. Quantitative mathematical methods are favoured over qualitative subjective methods as they are more straightforward to explain to the students and they may help minimise conflicts between assessors and students. PURPOSE : This study presents a review of commonly used mathematical equations to allocate individual marks from a team mark. Quantitative analytical equations are favoured over qualitative subjective methods because they are more straightforward to explain to the students and if explained to the students in advance, they may help minimise conflicts between assessors and students. Some of these analytical equations focus primarily on the assessment of the quality of teamwork product (product assessment) while the others put greater emphasis on the assessment of teamwork performance (process assessment). The remaining equations try to strike a balance between product assessment and process assessment. The primary purpose of this study is to discuss the qualitative aspects of quantitative equations. DESIGN/METHOD : This study simulates a set of scenarios of team marks and individual contributions that collectively cover all possible teamwork assessment environments. The available analytical equations are then applied to each case to examine their relative merits with respect to a set of evaluation criteria with exhaustive graphical plots. RESULTS : Although each analytical equations discussed and analysed in this study has its own merits for a particular application scenario, the recent methods such as knee formula in SPARKPLUS and cap formula, are relatively better in terms of a number of evaluation criteria such as fairness, teamwork attitude, balance between process and product assessments etc. In addition to having all favourable properties of knee formula, cap formula explicitly considers the quality of teamwork (i.e., team mark) while allocating individual marks. Cap formula may, however, be difficult to explain to the students due to relatively complex mathematical equations involved. CONCLUSIONS : Not all existing analytical equations that allocate individual marks from a team mark have similar characteristics. Recent methods, knee formula and cap formula, are advantageous in terms of a number of evaluation criteria and are recommended to apply in practice. However, it is important to examine these equations with respect to enhancing students’ learning achievements rather than the students and academic staff’s preferences.

Comparative evaluation of PBL and traditional lecturebased teaching in undergraduate engineering courses : evidence from controlled learning environment

Project and problem-based learning (PBL) has been widely recognised as an active, collaborative, cumulative and integrative learning approach that engages learners, motivates team creativity and centres on practical education. On the other hand, traditional lecture-tutorial teaching is often criticised for being a passive, surface learning and exam-focused approach. In spite of these evidence-based observations and claims over the years, the traditional lecture-tutorial teaching approach still dominates as the preferred teaching approach at Australian universities. This study sets up a control environment to compare these two teaching and learning approaches by analysing data from students' actual performance, course evaluation and expectation in two large undergraduate engineering courses in 2009 and 2010. The evidence reported in this study is broadly interesting in that both courses were taught by the same teaching staff using two entirely different learning and teaching approaches to the same cohort of students in the same semester within the same degree program. The analysis shows that there are significant differences between the students' actual performance, course evaluation and their expectation. Such conflicting differences may be some of the reasons that may negatively impact teaching staff deterring them from switching to PBL from traditional lecture-tutorial teaching.

Evaluation and comparison of type reduction algorithms from a forecast accuracy perspective

A variety of type reduction (TR) algorithms have been proposed for interval type-2 fuzzy logic systems (IT2 FLSs). The focus of existing literature is mainly on computational requirements of TR algorithm. Often researchers give more rewards to computationally less expensive TR algorithms. This paper evaluates and compares five frequently used TR algorithms from a forecasting performance perspective. Algorithms are judged based on the generalization power of IT2 FLS models developed using them. Four synthetic and real world case studies with different levels of uncertainty are considered to examine effects of TR algorithms on forecasts accuracies. It is found that Coupland-Jonh TR algorithm leads to models with a better forecasting performance. However, there is no clear relationship between the width of the type reduced set and TR algorithm.

Neural network ensemble : evaluation of aggregation algorithms for electricity demand forecasting

This paper examines and analyzes different aggregation algorithms to improve accuracy of forecasts obtained using neural network (NN) ensembles. These algorithms include equal-weights combination of Best NN models, combination of trimmed forecasts, and Bayesian Model Averaging (BMA). The predictive performance of these algorithms are evaluated using Australian electricity demand data. The output of the aggregation algorithms of NN ensembles are compared with a Naive approach. Mean absolute percentage error is applied as the performance index for assessing the quality of aggregated forecasts. Through comprehensive simulations, it is found that the aggregation algorithms can significantly improve the forecasting accuracies. The BMA algorithm also demonstrates the best performance amongst aggregation algorithms investigated in this study.

Evaluation of the intercultural understanding field trial

In 2011, the Innovation and Next Practice Division (INP) of the Department of Education and Early Childhood Development (DEECD) conducted a field trial on intercultural understanding in partnership with a research and evaluation team from the University of Melbourne and La Trobe University. The field trial was sponsored by the Languages, English as another Language (EAL) and Multicultural Education Division of DEECD.