126 resultados para Student volunteers in social service


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This presentation discusses the use of field experiences in educating social work students in culturally safe practice with Aboriginal and Torres Strait Islander peoples and communities.

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This thesis improves the process of recommending people to people in social networks using new clustering algorithms and ranking methods. The proposed system and methods are evaluated on the data collected from a real life social network. The empirical analysis of this research confirms that the proposed system and methods achieved improvements in the accuracy and efficiency of matching and recommending people, and overcome some of the problems that social matching systems usually suffer.

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Social Media (SM) is increasingly being integrated with business information in decision making. Unique characteristics of social media (e.g. wide accessibility, permanence, global audience, recentness, and ease of use) raise new issues with information quality (IQ); quite different from traditional considerations of IQ in information systems (IS) evaluation. This paper presents a preliminary conceptual model of information quality in social media (IQnSM) derived through directed content analysis and employing characteristics of analytic theory in the study protocol. Based in the notion of ‘fitness for use’, IQnSM is highly use and user centric and is defined as “the degree to which information is suitable for doing a specified task by a specific user, in a certain context”. IQnSM is operationalised as hierarchical, formed by the three dimensions (18 measures): intrinsic quality, contextual quality and representational quality. A research plan for empirically validating the model is proposed.

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There is a song at the beginning of the musical, West Side Story, where the character Tony sings that “something’s coming, something good.” The song is an anthem of optimism, brimming with promise. This paper is about the long-held promise of information and communication technology (ICT) to transform teaching and learning, to modernise the learning environment of the classroom, and to create a new digital pedagogy. But much of our experience to date in the schooling sector tells more of resistance and reaction than revolution, of more of the same but with a computer in the corner and of ICT activities as unwelcome time-fillers/time-wasters. Recently, a group of pre-service teachers in a postgraduate primary education degree in an Australian university were introduced to learning objects in an ICT immersion program. Their analyses and related responses, as recorded in online journals, have here been interpreted in terms of TPACK (Technological Pedagogical and Content Knowledge). Against contemporary observation, these students generally displayed high levels of competence and highly positive dispositions of students to the integration of ICT in their future classrooms. In short, they displayed the same optimism and confidence as the fictional “Tony” in believing that something good was coming.

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Objectives – To describe the development of an educational workshop to develop procedural skills in undergraduate Paramedic students using fresh frozen cadavers and to report the student’s assessment of the program. Methods – A six-hour anatomy based workshop was developed using fresh frozen cadavers to teach a range of airway and invasive procedural skills to second year undergraduate paramedic students. Embedded QUAN (qual) methodology will be utilised to evaluate the student’s satisfaction, perception and quality of teaching as compared to other existing clinical teaching techniques such as high fidelity simulation. Students will be asked to complete an anonymous validated survey (10 questions formulated on a 5 point Likert scale) and provide a qualitative feedback pre and post the six-hour workshop. Results – This is a prospective study planned for September 2013. Low-risk human research ethics are being sought. Teaching evaluation results from the inaugural 2012 workshop (undergraduate and postgraduate Paramedic students) and interim results for 2013 will be presented. Conclusions – Clinical teaching using fresh frozen cadavers thus far has predominately been used in the education of medical and surgical trainees. A number of studies have found them to be effective and in some cases superior to traditional high fidelity simulation teaching strategies. Fresh frozen cadavers are said to provide perfect anatomy, normal tissue consistency and a realistic operative training experience (Lloyd, Maxwell-Armstrong et al. 2011). The authors believe that this study will show that the use of fresh frozen cadavers offers a safe and effective mode to teach procedural skills to student paramedics that will help bridge the skills gap and increase confidence prior to students undertaking such interventions on living patients. A modified training program may be formulated for general practitioners undertaking Emergency Medicine Advanced Rural Skills.

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This study investigated the practices of two teachers in a school that was successful in enabling the mathematical learning of students in Years 1 and 2, including those from backgrounds associated with low mathematical achievement. The study explained how the practices of the teachers constituted a radical visible pedagogy that enabled equitable outcomes. The study also showed that teachers’ practices have collective power to shape students’ mathematical identities. The role of the principal in the school was pivotal because she structured curriculum delivery so that students experienced the distinct practices of both teachers.

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This study focuses on the managerial question “should social enterprises become more entrepreneurial?” It adapts the Covin and Slevin (1989) entrepreneurial orientation scale to measure the adoption of entrepreneurship by a social enterprise, and develops a scale that combines a Vincentian based focus to serve the poor with a propensity to take a more entrepreneurial approach toward business as a measure of a social value orientation (SVO).

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With the widespread of social media websites in the internet, and the huge number of users participating and generating infinite number of contents in these websites, the need for personalisation increases dramatically to become a necessity. One of the major issues in personalisation is building users’ profiles, which depend on many elements; such as the used data, the application domain they aim to serve, the representation method and the construction methodology. Recently, this area of research has been a focus for many researchers, and hence, the proposed methods are increasing very quickly. This survey aims to discuss the available user modelling techniques for social media websites, and to highlight the weakness and strength of these methods and to provide a vision for future work in user modelling in social media websites.

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Social networking sites (SNSs), with their large numbers of users and large information base, seem to be perfect breeding grounds for exploiting the vulnerabilities of people, the weakest link in security. Deceiving, persuading, or influencing people to provide information or to perform an action that will benefit the attacker is known as “social engineering.” While technology-based security has been addressed by research and may be well understood, social engineering is more challenging to understand and manage, especially in new environments such as SNSs, owing to some factors of SNSs that reduce the ability of users to detect the attack and increase the ability of attackers to launch it. This work will contribute to the knowledge of social engineering by presenting the first two conceptual models of social engineering attacks in SNSs. Phase-based and source-based models are presented, along with an intensive and comprehensive overview of different aspects of social engineering threats in SNSs.

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While social engineering represents a real and ominous threat to many organizations, companies, governments, and individuals, social networking sites (SNSs), have been identified as among the most common means of social engineering attacks. Owing to factors that reduce the ability of users to detect social engineering tricks and increase the ability of attackers to launch them, SNSs seem to be perfect breeding ground for exploiting the vulnerabilities of people, and the weakest link in security. This work will contribute to the knowledge of social engineering by identifying different entities and subentities that affect social engineering based attacks in SNSs. Moreover, this paper includes an intensive and comprehensive overview of different aspects of social engineering threats in SNSs.

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The use of volunteer undergraduate students to support simulated training for peers is common in Paramedic Science. However, there are limited examples of engaging paramedic student-volunteers in research as compared to that reported in cognate disciplines such as Medicine and Nursing. This case report shares our experience with engaging a penultimate year paramedic student in evaluation research. This information we hope will start the dialogue on the epistemology and pedagogies for effective engagement of undergraduate paramedic students as future researchers.

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This chapter describes the challenges of integrating new technologies with literacy education in pre-service primary teacher education in Australia. The authors describe the policy context and regulatory mechanisms controlling pre-service education, including a national set of professional standards for graduate teachers, a new national curriculum for school students, the introduction of high stakes national assessment for school students, and the looming threat of decontextualized back-to-the-basics professional entry tests for aspiring teachers. The chapter includes three case studies of the authors’ pedagogical practices that attempt to reframe conceptions of the literacy capabilities of pre-service teachers to reflect the complex and sophisticated requirements of teachers in contemporary schooling. The authors conclude the chapter with a discussion of the implications of these case studies as they illustrate the ways that pre-service teachers can be scaffolded and supported to develop creative capacity and critical awareness of the kinds of literacies required in the digital age despite restrictive regimes.

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The television quiz program Letters and Numbers, broadcast on the SBS network, has recently become quite popular in Australia. This paper considers an implementation in Excel 2010 and its potential as a vehicle to showcase a range of mathematical and computing concepts and principles.

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The purpose of this project was to build the leadership capacity of clinical supervisors in the nursing discipline by developing, implementing and systematically embedding a leadership model into the structure and practice of student supervision. The University worked in partnership with three major metropolitan hospitals in Queensland to develop a framework and professional development program incorporating leadership and clinical supervision. The Leadership and Clinical Education (LaCE) program consisted of two structured workshops complemented by individual personal development projects undertaken by participants. Participants were supported in these activities with a purpose-built website that provides access to a wide variety of information and other learning resources. Quantitative and qualitative evaluations indicated that the approach was highly valued by participants, as it promoted useful peer dialogue, sharing of experiences and personal development in relation to assisting leadership development and student learning in the workplace. The LaCE program provides an ideal springboard for introducing the development of welltrained leaders into the clinical workplace. The resources developed have the potential to provide ongoing support for clinical supervisors to improve the learning of undergraduate nursing student. The challenge will be to achieve continued innovation within clinical education through sustainable leadership programs.

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A common problem with the use of tensor modeling in generating quality recommendations for large datasets is scalability. In this paper, we propose the Tensor-based Recommendation using Probabilistic Ranking method that generates the reconstructed tensor using block-striped parallel matrix multiplication and then probabilistically calculates the preferences of user to rank the recommended items. Empirical analysis on two real-world datasets shows that the proposed method is scalable for large tensor datasets and is able to outperform the benchmarking methods in terms of accuracy.