486 resultados para Computer Literacy


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Bird species richness survey is one of the most intriguing ecological topics for evaluating environmental health. Here, bird species richness denotes the number of unique bird species in a particular area. Factors affecting the investigation of bird species richness include weather, observation bias, and most importantly, the prohibitive costs of conducting surveys at large spatiotemporal scales. Thanks to advances in recording techniques, these problems have been alleviated by deploying sensors for acoustic data collection. Although automated detection techniques have been introduced to identify various bird species, the innate complexity of bird vocalizations, the background noise present in the recording and the escalating volumes of acoustic data pose a challenging task on determination of bird species richness. In this paper we proposed a two-step computer-assisted sampling approach for determining bird species richness in one-day acoustic data. First, a classification model is built based on acoustic indices for filtering out minutes that contain few bird species. Then the classified bird minutes are ordered by an acoustic index and the redundant temporal minutes are removed from the ranked minute sequence. The experimental results show that our method is more efficient in directing experts for determination of bird species compared with the previous methods.

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From a relational perspective of information literacy, health information literacy is interpreted as the different ways in which people experience using information to learn about health. Phenomenography was used as a research approach to explore variation in people's experience of using information to learn about health from data collected through semi-structured interviews. The findings identify seven categories that describe the qualitatively different ways in which people experience health information literacy: building a new knowledge base;weighing up information; discerning valid information; paying attention to bodily information; staying informed about health; Participating in learning communities, and envisaging health. These findings can be used to enhance awareness about the different ways of experiencing health information literacy, and to contribute to a nascent trajectory of research that has explored information literacy within the context of everyday life.

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The term 'food literacy' is increasingly being used to describe the knowledge, skills and behaviours needed to feed yourself. In the last five years the use of this specific term has more than tripled in the research literature. The term is now commonly used in food and nutrition policy(Department of Agriculture Fisheries and Forestries, 2013; Glickman, Parker, Sim, Del Valle Cook, & Miller, 2012; Vandenbroeck, Goossens, & Clemens, 2007) and by a range of different industries, including, health, education and sustainable agriculture (Colatruglio, 2015; Piscopo, 2015; Voget-Kleschin, 2014). This article will look at what has led to the emergence of this term and then go on to define it based on the author's own PhD research which involved two studies, one of food experts and one of 16-25 year olds which aimed to identify the components of food literacy.

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Recently, the term ‘food literacy’ has emerged in policy, research and practice to describe the collection of knowledge, skills and behaviours required to practically meet food needs. This presentation will described research undertaken to empirically define the term and propose its impact on nutrition

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This workshop introduces a range of process drama activities to develop students' critical literacy responses. Whilst children's picture books and process drama strategies have not traditionally been seen as sophisticated resources and strategies for developing students' critical literacy responses, this workshop shows teaching strategies that can be used in language instruction in primary classrooms with diverse student groups. The teaching activities include ‘attribute lists’, ‘sculptures’ and ‘freeze frames’.

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Teachers the world over are aware of the range of new challenges that arise from this new era. One challenge is the role of digital technologies in literacy learning. Despite its reputation for being engaging, digital technologies do not always enhance learning outcomes. Whilst the concerns vary across time and place, the core issue of what is a highly sought after literacy learning outcome in this new era warrants consideration. This paper introduces Kalantzis and Cope’s (2005) theorisation of eight knowledge processes for literacy learning. They claim that experiencing the known, conceptualising by naming, analysing functionally and applying appropriately, whilst necessary, are not on their own sufficient for the development of high level literacy practices. It is their contention that students must also be able to experience the new, conceptualise by theorising, analyse creatively and apply critically. This theorisation forms an auditing framework for considering the outcomes of different uptakes of digital technologies in a Social Studies and a Science unit.

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This lecture introduces a range of children's picture books from around the world and teaching strategies that develop students' critical literacy responses. Whilst children's picture books have not traditionally been seen as sophisticated resources for developing students' critical literacy responses, this lecture presents research that shows young children as code breakers, text participants, text users and text analysts (Luke & Freebody, 1999) of written, visual, oral and gestural texts. This lecture also outlines the teaching strategies as they have been used in language instruction in primary classrooms with diverse student groups.

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There is an increased interest on the use of Unmanned Aerial Vehicles (UAVs) for wildlife and feral animal monitoring around the world. This paper describes a novel system which uses a predictive dynamic application that places the UAV ahead of a user, with a low cost thermal camera, a small onboard computer that identifies heat signatures of a target animal from a predetermined altitude and transmits that target’s GPS coordinates. A map is generated and various data sets and graphs are displayed using a GUI designed for easy use. The paper describes the hardware and software architecture and the probabilistic model for downward facing camera for the detection of an animal. Behavioral dynamics of target movement for the design of a Kalman filter and Markov model based prediction algorithm are used to place the UAV ahead of the user. Geometrical concepts and Haversine formula are applied to the maximum likelihood case in order to make a prediction regarding a future state of the user, thus delivering a new way point for autonomous navigation. Results show that the system is capable of autonomously locating animals from a predetermined height and generate a map showing the location of the animals ahead of the user.

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The present paper suggests articulating the general context of workplace in information literacy research. The paper considers distinguishing between information literacy research in workplaces and professions. Referring to the results of a phenomenographic enquiry into web professionals’ information literacy as an example, it is indicated that work-related information literacy in particular contexts and depending on the nature of the context, is experienced beyond physical workspaces and at professional level. This involves people interacting with each other and with information at a broader level in comparison to a physically bounded workspace. Regarding the example case discussed in the paper, virtuality is identified as the dominant feature of the profession that causes information literacy to be experienced at a professional level. It is anticipated that pursuing the direction proposed in the paper will result in a more segmented image of work-related information literacy.

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Background A cancer diagnosis elicits greater distress than any other medical diagnosis, and yet very few studies have evaluated the efficacy of structured online self-help therapeutic programs to alleviate this distress. This study aims to assess the efficacy over time of an internet Cognitive Behaviour Therapy (iCBT) intervention (‘Finding My Way’) in improving distress, coping and quality of life for individuals with a recent diagnosis of early stage cancer of any type. Methods/Design The study is a multi-site Randomised Controlled Trial (RCT) seeking to enrol 188 participants who will be randomised to either the Finding My Way Intervention or an attention-control condition. Both conditions are delivered online; with 6 modules released once per week, and an additional booster module released one month after program-completion. Participants complete online questionnaires on 4 occasions: at baseline (immediately prior to accessing the modules); post-treatment (immediately after program-completion); then three and six months later. Primary outcomes are general distress and cancer-specific distress, with secondary outcomes including Health-Related Quality of Life (HRQoL), coping, health service utilisation, intervention adherence, and user satisfaction. A range of baseline measures will be assessed as potential moderators of outcomes. Eligible participants are individuals recently diagnosed with any type of cancer, being treated with curative intent, aged over 18 years with sufficient English language literacy, internet access and an active email account and phone number. Participants are blinded to treatment group allocation. Randomisation is computer generated and stratified by gender. Discussion Compared to the few prior published studies, Finding My Way will be the first adequately powered trial to offer an iCBT intervention to curatively treated patients of heterogeneous cancer types in the immediate post-diagnosis/treatment period. If found efficacious, Finding My Way will assist with overcoming common barriers to face-to-face therapy in a cost-effective and accessible way, thus helping to reduce distress after cancer diagnosis and consequently decrease the cancer burden for individuals and the health system. Trial registration Australian New Zealand Clinical Trials Registry ACTRN12613000001​796 16.10.13

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In 2015, ALEA National Council provided funds to support the implementation of a research project which was undertaken by a group of teacher educators and researchers from a range of universities across three Australian states. Stage one of the project, which is reported on here, examined primary school teachers’ perceptions of the personal and professional literacy capabilities of recently graduated primary school teachers. This stage of the project also examined primary school teachers’ perceptions of the impact of initial teacher education on the personal and professional literacy capabilities of recently graduated primary school teachers. The project team, led by Associate Professor Beryl Exley (Queensland University of Technology), included Chief Investigators Dr Eileen Honan (The University of Queensland), Associate Professor Lisa Kervin (University of Wollongong), Associate Professor Alyson Simpson (University of Sydney) and Dr Muriel Wells (Deakin University), with Dr Sandy Muspratt as the Statistical Analyst and Lesley Friend as the Research Assistant with primary responsibility for the publication of the online survey.

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A computer code is developed for the numerical prediction of natural convection in rectangular two-dimensional cavities at high Rayleigh numbers. The governing equations are retained in the primitive variable form. The numerical method is based on finite differences and an ADI scheme. Convective terms may be approximated with either central or hybrid differencing for greater stability. A non-uniform grid distribution is possible for greater efficiency. The pressure is dealt with via a SIMPLE type algorithm and the use of a fast elliptic solver for the solenoidal velocity correction field significantly reduces computing times. Preliminary results indicate that the code is reasonably accurate, robust and fast compared with existing benchmarks and finite difference based codes, particularly at high Rayleigh numbers. Extension to three-dimensional problems and turbulence studies in similar geometries is readily possible and indicated.

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In this paper I conduct a Foucauldian discourse analysis of a political speech given by Brendon Nelson in 2006 when the Australian Minister for Defence in the Howard Coalition Government. The speech connects conceptualisations of terror, globalization, education and literacy as part of a whole of government security strategy. The analysis examines this speech as an example of a liberal way of governing the conduct of diverse and unpredictable populations. My analysis suggests that the apparatus of government has been strategically used in order to biopolitically contain the rise of complex social forces and protect a set of homogenous cultural values. The purposes of education and uses of literacy are seen as instruments for the inscription of a coded set of values understood to be synonymous with civil society.

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The use of UAVs for remote sensing tasks; e.g. agriculture, search and rescue is increasing. The ability for UAVs to autonomously find a target and perform on-board decision making, such as descending to a new altitude or landing next to a target is a desired capability. Computer-vision functionality allows the Unmanned Aerial Vehicle (UAV) to follow a designated flight plan, detect an object of interest, and change its planned path. In this paper we describe a low cost and an open source system where all image processing is achieved on-board the UAV using a Raspberry Pi 2 microprocessor interfaced with a camera. The Raspberry Pi and the autopilot are physically connected through serial and communicate via MAVProxy. The Raspberry Pi continuously monitors the flight path in real time through USB camera module. The algorithm checks whether the target is captured or not. If the target is detected, the position of the object in frame is represented in Cartesian coordinates and converted into estimate GPS coordinates. In parallel, the autopilot receives the target location approximate GPS and makes a decision to guide the UAV to a new location. This system also has potential uses in the field of Precision Agriculture, plant pest detection and disease outbreaks which cause detrimental financial damage to crop yields if not detected early on. Results show the algorithm is accurate to detect 99% of object of interest and the UAV is capable of navigation and doing on-board decision making.