Changing teacher professional learning : transitioning from train - the trainer to participatory action research

Diffusion-adoption professional learning models which position teachers ascompliant technicians of policy and practices are limited in their long term effects on teacher professionalism. In contrast, co-researching models of professional learning hold the potential to engage teachers and researchers in explorations of mutual concern which impact on professionalism and contribute to development of both theory and practice.

This article describes professional learning within the context of an Australian state department of education during a period of reform. The contextual influences and design of a collaborative, film-driven participatory action research design which explored teacher learning and application of multiliteracies theory are explored. A spiral of cycles of action research incorporated engagentent with multiliteracies theory and collaborative planning; filming of teacher classroom 'action' and reflective interviews; collaborative observation of and reflection on the resultant filmic artefacts.

The filmic artefacts offered rich multimodal examples of teaching practices,
incorporatíng visual, audio, gestural and spatial classroom information, far beyond the purely linguistic recounts and descriptions which characterise many professional development workshops. Incorporation of collaborative filmic research techniques enabled multimodal observation of teaching practices across a number of sites, with observation unrestricted by temporal or physical parameters.

Train the trainer model : implications for health professionals and farm family health in Australia

Australia is a large country with 60% of land used for agricultural production. Its interior is sparsely populated, with higher morbidity and mortality recorded in rural areas, particularly farmers, farm families, and agricultural workers. Rural health professionals in addressing health education gaps of farming groups have reported using behavioralist approaches. These approaches in isolation have been criticized as disempowering for participants who are identified as passive learners or 'empty vessels.' A major challenge in rural health practice is to develop more inclusive and innovative models in building improved health outcomes. The Sustainable Farm Families Train the Trainer (SFFTTT) model is a 5-day program developed by Western District Health Service designed to enhance practice among health professionals working with farm families in Australia. This innovative model of addressing farmer health asks health professionals to understand the context of the farm family and encourages them to value the experience and existing knowledge of the farmer, the family and the farm business. The SFFTTT program has engaged with health agencies, community, government, and industry groups across Australia and over 120 rural nurses have been trained since 2005. These trainers have successfully delivered programs to 1000 farm families, with high participant completion, positive evaluation, and improved health indicators. Rural professionals report changes in how they approach health education, clinical practice, and promotion with farm families and agricultural industries. This paper highlights the success of SFFTTT as an effective tool in enhancing primary health practice in rural and remote settings. The program is benefiting not only drought ravaged farmers but assisting rural nurses, health agencies, and health boards to engage with farm families at a level not identified previously. Furthermore, nurses and health professionals are now embracing a more 'farmer-centered model of care.'

Introducing active support in the United States : staff training developments and research directions

Aim: Active Support, an evidence-based intervention developed in the UK and tested in Australia, enables direct support professionals to engage people with high support needs in meaningful and rewarding every day activities. This paper outlines the practical details of adapting the Active Support curriculum for service providers in the US and outlines an evaluation methodology that will inform both service delivery and future developments of Active Support.

Method: Active Support curricula developed in the UK and Australia were adapted for implementation the US.Train-the-trainer activities were conducted in early 2008 in three group homes serving 12 people with intellectual or developmental disabilities. A formative evaluation process was used to identify changes in the materials and training design needed to support a randomized controlled trial of the intervention in 20 small group homes.

Results: Modifications in the delivery of training are needed to account for differences in scheduling patterns and high turnover rates in US group homes, and to adjust British/Australian terminology to the U.S. context.

Conclusions: The translation of active support into the U.S. context requires modifications to support successful implementation. Research is planned to document the success of the modified curriculum in improving outcomes for persons with disabilities.

Canadian Society for Exercise Physiology position stand : the use of instability to train the core in athletic and nonathletic conditioning

The use of instability devices and exercises to train the core musculature is an essential feature of many training centres and programs. It was the intent of this position stand to provide recommendations regarding the role of instability in resistance training programs designed to train the core musculature. The core is defined as the axial skeleton and all soft tissues with a proximal attachment originating on the axial skeleton, regardless of whether the soft tissue terminates on the axial or appendicular skeleton. Core stability can be achieved with a combination of muscle activation and intra-abdominal pressure. Abdominal bracing has been shown to be more effective than abdominal hollowing in optimizing spinal stability. When similar exercises are performed, core and limb muscle activation are reported to be higher under unstable conditions than under stable conditions. However, core muscle activation that is similar to or higher than that achieved in unstable conditions can also be achieved with ground-based free-weight exercises, such as Olympic lifts, squats, and dead lifts. Since the addition of unstable bases to resistance exercises can decrease force, power, velocity, and range of motion, they are not recommended as the primary training mode for athletic conditioning. However, the high muscle activation with the use of lower loads associated with instability resistance training suggests they can play an important role within a periodized training schedule, in rehabilitation programs, and for nonathletic individuals who prefer not to use ground-based free weights to achieve musculoskeletal health benefits.

The use of instability to train the core musculature

Training of the trunk or core muscles for enhanced health, rehabilitation, and athletic performance has received renewed emphasis. Instability resistance exercises have become a popular means of training the core and improving balance. Whether instability resistance training is as, more, or less effective than traditional ground-based resistance training is not fully resolved. The purpose of this review is to address the effectiveness of instability resistance training for athletic, nonathletic, and rehabilitation conditioning. The anatomical core is defined as the axial skeleton and all soft tissues with a proximal attachment on the axial skeleton. Spinal stability is an interaction of passive and active muscle and neural subsystems. Training programs must prepare athletes for a wide variety of postures and external forces, and should include exercises with a destabilizing component. While unstable devices have been shown to be effective in decreasing the incidence of low back pain and increasing the sensory efficiency of soft tissues, they are not recommended as the primary exercises for hypertrophy, absolute strength, or power, especially in trained athletes. For athletes, ground-based free-weight exercises with moderate levels of instability should form the foundation of exercises to train the core musculature. Instability resistance exercises can play an important role in periodization and rehabilitation, and as alternative exercises for the recreationally active individual with less interest or access to ground-based free-weight exercises. Based on the relatively high proportion of type I fibers, the core musculature might respond well to multiple sets with high repetitions (e.g., >15 per set); however, a particular sport may necessitate fewer repetitions.

Polycyclic aromatic hydrocarbon emission loads and profiles from the burning of locally grown wood species in Victoria, Australia - Some pilot project results

A testing facility for combustion of biomass and sampling of emissions has been established at Deakin University. In this pilot project using this facility, four kinds of locally grown wood species were burned and the particle emissions sampled and analysed for Polycyclic Aromatic Hydrocarbons (PAHs). The selected wood species covering pine, red gum, yellow box and sugar gum, are the most popular domestic fuel wood in Australia. Particulate matter emissions from burning of each load of wood were sampled from the flue using a standard stack emission sampling train. The particle-laden filters were extracted and the .extract analysed to determine PAH concentrations by Gas Chromatographyl Mass Spectrometer (Gc/MS). The sampling was conducted under two different burning conditions with the air inlet of the combustion chamber fully open and with it half open. A suite of 15 PAHs, ranging from naphthalene (C IOHB) to dibenzolahlanthracene (C12H14), were selected for analysis. PAH profiles for the four wood species, under the different burning regimes, have been generated. Some preliminary emission factors for the different wood species have been derived as microgram of summed PAHs (rPAHs) emittedlkilogram of wood burned. Total Particulate Matter (TPM) emission factors were also obtained from gravimetric measurement of the sample filter before and after the combustion. Based on these emission factors, pine displayed the highest level of rPAHs emitted from the combustion of the four wood species, with sugar gum showing the lowest level of rPAHs emission. Emission factors associated with the slow burning condition clearly showed higher l:PAH levels compared to the faster burning condition. During the faster burning condition, red gum and pine show a higher percentage of rPAH to TPM than sugar gum or yellow box. Under the slower burning. the l:PAHlTPM ratio in every case was greater.

Application of neural networks as an auxiliary technique in the modelling of power station

Artificial neural network (NN) is an alternative way (to conventional physical or chemical based modeling technique) to solve complex ill-defined problems. Neural networks trained from historical data are able to handle nonlinear problems and to find the relationship between input data and output data when there is no obvious one between them. Neural Networks has been successfully used in control, robotic, pattern recognition, forecasting areas. This paper presents an application of neural networks in finding some key factors eg. heat loss factor in power station modeling process. In the conventional modeling of power station, these factors such as heat loss are normally determined by experience or “rule of thumb”. To get an accurate estimation of these factors special experiment needs to be carried out and is a very time consuming process. In this paper the neural networks (technique) is used to assist this difficult conventional modeling process. The historical data from a real running brown coal power station in Victoria has been used to train the neural network model and the outcomes of the trained NN model will be used to determine the factors in the conventional energy modeling of the power stations that is under the development as a part of an on-going ARC Linkage project aiming to detail modeling the internal energy flows in the power station.

Trainers and transformation : facilitating the 'dark side' of vocational learning

'Transformative learning' is a term used by Mezirow (1991) and his followers to designate a specifically 'adult' kind of learning that involves shifts in how learners view the world and themselves. New research into learning in VET suggests that in some subject areas transformative learning may play more than an incidental role. Among the implications of this finding is that the trainer's practice may be more important in VET than it has been the custom to acknowledge. When transformative learning systematically contributes to VET, the trainer becomes a co-constructor of competence rather than a transmitter of skills and knowledge.

This paper reports on this new research and reflects on the role of the trainer in the process of VET-oriented transformative learning. Results indicate that some trainers of youth workers develop a practice that responds to the contours and dangers of transformative learning without necessarily being aware of the body of knowledge that has built up around this type of learning. The paper suggests that in some VET sectors, trainers and RTO's could enhance their work by taking stock of transformative learning research and theory.

The ranking of factors influencing the behaviour of light structures on expansive soils in Victoria, Australia

In this paper a Neural Network Model was used to develop a ranking of the potential damage influences for light structures on expansive soils in Victoria. These influences include geology, Thornthwaite moisture index, vegetation covers, construction foundation type, construction wall type, geographical region and age of building when first inspected. Approximately 400 cases of damage to light structures in Victoria, Australia were considered in this study. Feedforward Backpropagation was adopted to train the data. The ranking of importance was estimated using connection weight approach and then compared to results calculated from sensitivity analysis. From the analysis, the ranking of importance for potential damage factor was noted.

Improving access to the justice system for people with communication difficulties : a training program for people working in the justice system

This training package is provided as a guide and resource to promote awareness and understanding of people who have complex communication needs and give people who work in law and justice system strategies to facilitate successful communication interactions. Complex communication needs are defined as communication problems associated with a wide range of physical, sensory and environmental causes which restrict/limit an individual's ability to participate independently in society. They and their communication partners may benefit from using Alternative and Augmentative Communication (AAC) methods. Alternative and Augmentative Communication (AAC) is an approach or communication system that makes it possible for a person without speech to communicate. AAC includes gestures and sign language, picture and alphabet boards and high technology electronic communication devices that produce computerised speech. Many people with complex communication needs use a combination of AAC communication to express themselves. It is hoped that this package will facilitate access to the justice system for a group of people who may experience social disadvantage as a result of their complex communication needs. The information included in the package is not exhaustive. It is designed to : provide the trainer and staff with a general understanding of complex communication needs; challenge misconceptions about people who have little or no functional speech; provide practical strategies and guidelines to assist staff to more successfully communicate with people with complex communication needs.

Wavelet packets for lighting-effects determination

This paper presents a system to determine lighting effiects within face images. The theories of multivariate discriminant analysis and wavelet packets transform are utilised to develop the proposed system. An extensive set of face images of different poses, illuminated from different angles, are used to train the system. The performance of the proposed system is evaluated by conducting experiments on different test sets, and by comparing its results against those of some existing counterparts.

Study of polycyclic aromatic hydrocarbons emissions from burning of local wood species in Australia

Four kinds of Australian local wood species were burned in a domestic wood heater installed in a laboratory. The selected wood species include pine, red gum, yellow box and sugar gum, that are the most popular domestic fuel wood in Australia. Particulate matter emissions from burning of each load of wood were sampled isokinetically on filter media from the flue by standard stack emission sampling train. The particle laden filters then went for Gas Chromatography/ Mass Spectrometer (GC/MS) analysis to determine polycyclic aromatic hydrocarbons (PAHs) concentrations. The sampling was conducted under two different burning conditions – air inlet of the combustion chamber fully open and half open. Approximately 15 types of PAHs were detected. Emission factors were derived as microgram of PAHs /kg of wood burned. Total particulate emission factors were also obtained from gravimetric measurement before and after the sampling. PAH emission profiles for four species were generated from the results. Comparisons of emission factors have been conducted among different species of wood, as well as under different burning conditions, ie. fast burning and slowing burning. According to the derived emission factors, pine displayed the highest level of PAHs among the four species, followed by red gum and yellow box, whereas sugar gum showed the lowest level of PAHs. Emission factors were compared between each type of wood under two different burning conditions, the slow burning condition, which was air inlet half open, clearly showed higher PAH levels compared to the fast burning condition. Total PAH fractions on particulate matter were calculated and compared among wood types under two burning conditions. During the fast burning condition, red gum and pine have the higher percentage of PAH to total particulate matter emission than sugar gum and yellow box. When changed to slow burning, the PAH fraction on particulate matter are all increased with sugar gum having the largest increase.

Games within games: gambling and trickery in professional running

Professional running is an overtly gambling sport in which a clear objective is to maximise winnings from the bookmakers, which is achieved through a careful concealment of a runner’s ability. Professional runners seldom win more than one significant race. Races are deliberately lost until runners acquire a sufficiently lenient handicap to significantly improve their chances of winning a race of their choosing. Successes, kudos and identities in this sport are evaluated from the cleverness of the win, largely measured by the trainer’s effectiveness in executing a gambling coup. The money prizes given to runners may be significantly bettered from gambling winnings and making the most of these is the major emphasis for most successful runners and trainers. Drawing from an ethnographic study of this sport in Australia, the paper argues that the gambling strategies of runners and trainers can be understood as zero-sum games.

A self-learning system for identifying harmful network information

Network information identification is a “hot” topic currently. This paper designs a self-learning system using neural network algorithm for identifying the harmful network messages of both Chinese and English languages. The system segments the message into words and creates key word vector which characterizes the harmful network information. The BP algorithm is taken advantage of to train the neural network. The result of training and studying of the neural network can be applied onto many network applications based on message identification. The result of experiments demonstrates that our system has a high degree of accuracy.