Developing creative citizens through experiential learning environments in applied drama

The Seoul Agenda (2010, p.8) recognizes the value of arts education in enhancing creative and innovative capacity in young people. It goes so far as to suggest that applying arts will “cultivate a new generation of creative citizens”. This paper documents a specific area of arts education in university level drama degrees. In a case study approach, it discusses the outcomes of a work-based learning approach for students of applied drama. It explores the drama student‟s experience and considers how engaging in the study of applied drama and applied performance and having the support and opportunity to transfer these skills in real contexts acts to develop creative capacity and to contribute to consolidating the students‟ identities as citizens

Vascular access e-learning : the essentials

Objectives
Form a working group of renal vascular access nurses to develop peer reviewed, accessible, evidence based e-leaning modules related to vascular access principles and practice.

Key messages
Vascular access training and guidelines are often unit specific but the core principles of vascular access care are generally transferable. The vascular access e-learning module aims to utilize resources to minimize wasted time developing and keeping multiple individual vascular access training packages up to date.
Vascular access education is delivered from a variety of resources such as educators, senior staff and vascular access nurses. This e-learning module allows renal units the opportunity to provide a national learning package with general consensus on terminology and up to date evidence based practice.
Recently there has been a rise in the use of ultrasound to assess and perform image guided cannulation in vascular access to improve patient outcomes. There is only a small window of opportunity to provide education in ultrasound use. This module will provide education on this and other aspects of vascular access practices and patient care.

Implications for clinical practice
Implications include access to standardized learning packages based on current evidence based practice, eencouraging the utilization of new technology (e.g. Ultrasound observation and interpretation of results), reinforcing the underpinning knowledge of anatomy and physiology of vascular access, standardizing practice benefits to patients and nurses moving between dialysis units, improving accessibility by transitioning learning to smart phones and tablets and providing an opportunity for international collaboration related to vascular access e-learning concepts.

Innovating from the inside: teacher influence and the 'promisingness' of digital learning environments

In line with global trends, Australian educational policy emphatically recognises the need for contemporary learners to be digitally literate, with provision of 'one-to-one' devices to individual learners in schools a major implementation strategy. However, without teacher commitment, the benefits of such investment in one-to-one programs are undermined and the devices themselves are under-utilised. Too often, the focus on hardware is not accompanied by insight into the organisational learning and change required in pedagogical practices. In the knowledge that curriculum and pedagogical renewal rests squarely with teachers and leaders rather than with technological hardware and software per se, this article draws on outcomes/findings from a school/university ethnographic collaboration which closely explored the introduction of a school-funded, one-to-one netbook program in a school excluded from a state-wide initiative. It seeks to make visible the often overlooked work of teachers as members of learning organisations through a narrative of change. The narrative focuses on teacher agency and capacity to mobilise a school community to commit to a vision of; no-blame risk taking; collective professional learning; the power of purpose and passion; leadership in the face of government practice which disempowered teachers and disadvantaged students; and the development of an innovation 'from the inside'.

Machine-learning prediction of cancer survival: a retrospective study using electronic administrative records and a cancer registry

Using the prediction of cancer outcome as a model, we have tested the hypothesis that through analysing routinely collected digital data contained in an electronic administrative record (EAR), using machine-learning techniques, we could enhance conventional methods in predicting clinical outcomes.

Critical Indigenous pedagogy meets transformative education in a third space learning experience

This paper explores the philosophical and theoretical foundations of a first year unit in Aboriginal Studies offered at the University of Notre Dame in Fremantle. It explains how the current approach is inclusive of transformative and critical Indigenous pedagogies and taught from an evolving ‘third space’. Each philosophical underpinning is considered briefly, with reference to informal feedback received from students in 2014. What is suggested is that AB100 is indeed transformational for students in ways that are potentially ongoing in both professional and personallives. Given the focus of the University of Notre Dame on training students for the professions this has implications for potential ways of teaching and learning that may require uncapping the usual teaching and learning frameworks to actively incorporate transformative and Indigenous pedagogies. Recommended is the need for further investigation and research into the impact of this approach to learning via an evaluation framework based upon the authors PhD outcomes

An evaluation of the impact of using authentic design and build industry projects in project-based learning

BACKGROUNDChisholm’s ‘first year experience’ is a significant feature of the new industry focused Bachelor of Engineering Technology program delivered in association with the South East Melbourne Manufacturers’ Alliance (SEMMA). This conceive-design-implement-operate (CDIO Initiative) program commenced as a full time program in first semester 2012. Whereas it is common for CDIO Initiative programs to have a first year experience program containing a project typical of the type of industry project they would complete as a graduate engineer or engineering technologist, this goes further by using real industry projects provided by SEMMA members.This design-and-build industry project runs across both semesters supporting project-based learning in three first year subjects. A concern is that the industry involvement of the projects adds substantially to an already heavy student workload. This has been further increased by the addition of two additional first year initiatives: writing workshops, and training in, and substantial use of, student oral presentations. It is recognised that an excessive workload could lead students to adopt surface learning approaches in other subjects.PURPOSEThe goal of the project is to evaluate student perceptions of the value and work load impact of the industry project and the other new first year initiatives.DESIGN/METHODCentral to this project is a student survey-based evaluation of the industry project based learning that is the core of the ‘first year experience’. The participants were limited to the small group of students who, in a single year, completed all three subjects that comprise the ‘first year experience’. To avoid compromising the results the survey was administered by Chisholm Institute’s Department of Strategy and Planning with no engineering technology degree program staff present. The survey included questions to enable responses to be linked with specific student demographics without identifying any of the respondents.RESULTSThe study showed the industry project-based learning had worthwhile outcomes but placed considerable time pressures on most respondents. For some, this also impacted on their other subjects. A first year oral presentation program was also shown to have worthwhile outcomes. However no conclusions could be reliably drawn on the third initiative – writing workshops.CONCLUSIONSThe results confirm that the authentic industry project is considered a worthwhile initiative but contributes significantly to student overload. This applies also – to a lesser extent – to the first year oral presentation program. Both also require new approaches to delivery as student numbers increase. Strategies to address these issues are discussed.

LC-REHAB : randomised trial assessing the effect of a new patient education method - learning and coping strategies - in cardiac rehabilitation

Due to improved treatments and ageing population, many countries now report increasing prevalence in rates of ischemic heart disease and heart failure. Cardiac rehabilitation has potential to reduce morbidity and mortality, but not all patients complete. In light of favourable effects of cardiac rehabilitation it is important to develop patient education methods which can enhance adherence to this effective program. The LC-REHAB study aims to compare the effect of a new patient education strategy in cardiac rehabilitation called 'learning and coping' to that of standard care. Further, this paper aims to describe the theoretical basis and details of this intervention.

Transfer learning using the online FMM model

In this paper, we present an analysis on transfer learning using the Fuzzy Min-Max (FMM) neural network with an online learning strategy. Transfer learning leverages information from the source domain in solving problems in the target domain. Using the online FMM model, the data samples are trained one at a time. In order to evaluate the online FMM model, a transfer learning data set, based on data samples collected from real landmines, is used. The experimental results of FMM are analyzed and compared with those from other methods in the literature. The outcomes indicate that the online FMM model is effective for undertaking transfer learning tasks.

Managing learning evidence using eportfolio

This paper introduces ePortfolio and its use of managing learning evidence in an eLearning environment. The paper uses the outcomes of a recent project sponsored by Deakin University, Australia and examples from IT teaching practice based on CloudDeakin to explore how ePortfolios add value to personalized and reflective models of eLearning. ePortfolios are proved to be an effective tool for discussion, information collection and reflection, and new ways of thinking about learning evidence management.

Barriers and enablers to learning during team-based clinical simulations: reflective interviews with final year undergraduate nursing students

Background: Contemporary approaches to clinical simulation can enhance educational outcomes. However, simulation approaches do have limitations with possible compromises for learning and teaching. This paper aims to identify barriers
and enablers to learning in simulated clinical settings.
Methods: A generic qualitative design was applied. Semi-structured group video debriefing interviews were held with Australian final-year nursing students who completed three patient deterioration scenarios with a standardized patient.
Audio-recorded interviews were transcribed and analysed to identify emergent themes.
Results: Interviews with 15 teams of three students (n = 45) from three universities were analysed. Learning enablers were ‘Realism of the simulated environment’; ‘Practicing: we should do this at uni’; ‘Learning from reflection and expert feedback’, and ‘How to become competent: know the gaps’. Barriers to learning included ‘Increased stress from inexperience; ‘Expectations when pretending’ and ‘Lack of assistance’. Skills practice in team-based settings with applicable reflection and debriefing was regarded as beneficial. Simulated patients enhanced fidelity but were unable to replicate actual clinical signs. High stress levels were perceived as a barrier to learning.
Conclusions: Applicably designed high fidelity simulations with video-based reflective review offer repeated rehearsal of clinical situations to enable learning. This educational strategy may reduce the time it takes undergraduate students to
reach competency.

An online transfer learning RBF neural network for cross domain data classification

In this paper, a Radial Basis Function Network (RBFN) trained with the Dynamic Decay Adjustment (DDA) algorithm (i.e., RBFNDDA) is deployed as an incremental learning model for tackling transfer learning problems. An online learning strategy is exploited to allow the RBFNDDA model to transfer knowledge from one domain and applied to classification tasks in a different yet related domain. An experimental study is carried out to evaluate the effectiveness of the online RBFNDDA model using a benchmark data set obtained from a public domain. The results are analyzed and compared with those from other methods. The outcomes positively reveal the potentials of the online RBFNDDA model in handling transfer learning tasks. © 2014 The authors and IOS Press. All rights reserved.

Using iTextbook as an alternate frontend to learning management systems

Learning management systems (LMS) have been a popular tool for delivery of learning content as well as the management of learners and courses. In recent years, the ubiquity of mobile devices such as smartphones and tablets has seen the increased popularity of using them to consume eBooks. While the LMS is popular among administrators, accessing content on mobile devices appear to be the preference of our learners. Furthermore, there are reports on a number of shortcomings with learners using the LMS, e.g., the experience of using LMSes on mobile devices falling short and learners are less engaged interacting with the LMS than with their mobile devices, etc. In this paper, we investigate the idea of using eBooks as an alternative frontend for learners to interact with the LMS. A proof of concept eBook was developed for a data management course to showcase how content on the LMS can be deployed via the eBook interface while connecting our learners to the LMS for learning management. We find that this approach delivers a rich and immersive experience to our learners, as they would expect from their devices. The outcomes also gave us food for thought regarding how LMSes may evolve in the future.

Classification of electrocardiogram and auscultatory blood pressure signals using machine learning models

In this paper, two real-world medical classification problems using electrocardiogram (ECG) and auscultatory blood pressure (Korotkoff) signals are examined. A total of nine machine learning models are applied to perform classification of the medical data sets. A number of useful performance metrics which include accuracy, sensitivity, specificity, as well as the area under the receiver operating characteristic curve are computed. In addition to the original data sets, noisy data sets are generated to evaluate the robustness of the classifiers against noise. The 10-fold cross validation method is used to compute the performance statistics, in order to ensure statistically reliable results pertaining to classification of the ECG and Korotkoff signals are produced. The outcomes indicate that while logistic regression models perform the best with the original data set, ensemble machine learning models achieve good accuracy rates with noisy data sets.

E-learning opportunities and challenges for legal education in rural Victoria

Access to justice extends beyond consideration of the systems and institutions of justice; it includes infrastructure such as transport, health, education and communications. Rural, regional and remote (‘RRR’) communities are more likely to face difficulties in accessing advice and accurate information on laws and processes available for resolution of disputes. Perhaps more fundamentally, they rarely have a voice in effecting reforms in laws and related policies. For several decades, community legal centres, legal aid, courts, and a range of other institutions have used community legal education programs to improve knowledge and access to law and justice systems, services and organisations. The recent Productivity Commission Inquiry into Access to Justice Arrangements notes that, ‘Better coordination and greater quality control in the development and delivery of these [community legal education, legal information] services would improve their value and reach.’ At the same time, research into the professional needs of RRR legal practitioners has found that many of these practitioners face considerable difficulties accessing good quality continuing professional development (‘CPD’) and informal networking/support opportunities.6 Current and emerging internet-based technologies open up opportunities for legal organisations to better meet the educational needs of both rural communities and legal practitioners. Though limitations still exist at multiple levels, relatively low-cost, media-rich, synchronous and tailored education programs can now be delivered effectively in many rural and remote areas. However, complex layers of decisions are required to critically assess, harness and optimise technologies to best suit the needs of users, and to utilise teaching and learning techniques that best match the technologies and participant needs. Getting these elements — needs, technology and learning technique — right, nevertheless offers extraordinary opportunities. Sound decisions and good practices should enable state-wide and specialist law and justice-related services interested in improving their engagement with RRR communities to dramatically improve the reach and quality of outcomes, not only for distant participants but the spectrum of stakeholders.

Popularity of reinforcement-based and belief-based learning models: an evolutionary approach

In an evolutionary model, players from a given population meet randomly in pairs each instant to play a coordination game. At each instant, the learning model used is determined via some replicator dynamics that respects payoff fitness. We allow for two such models: a belief-based best-response model that uses a costly predictor, and a costless reinforcement-based one. This generates dynamics over the choice of learning models and the consequent choices of endogenous variables. We report conditions under which the long run outcomes are efficient (or inefficient) and they support the exclusive use of either of the models (or their co-existence).