46 resultados para visual content analysis

em Deakin Research Online - Australia


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Content analysis of computer conferences provides a rich source of data for researching and understanding online learning. However, the complexities of using content analysis in a relatively new research field have resulted in researchers often avoiding this method and using more familiar methods such as survey and interview instead. This article discusses content analysis as a methodology, with emphasis on the development of analytical frameworks. The literature indicates that researchers either use or modify existing frameworks or, more commonly, develop new ones, either through grounded theory approaches or the adaptation of existing theories, concepts or models. The development and implementation of two frameworks are then discussed in detail. Both were developed purposively to investigate and evaluate firstly collaborative learning and secondly deep and surface approaches to learning as evidenced in computer conferences. The article concludes with recommendations for framework development.

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Content analysis of computer conferences provides a rich source of data for researching and understanding online learning. However the complexities of using content analysis in a relatively new research field have resulted in researchers avoiding its use as a qualitative or quantitative method and using more familiar methods such as survey and interview instead. Ethical issues are also raised that, though ensuring students’ rights, particularly to privacy and with no fear of coercion, are making it difficult for researchers to access and analyse archives of conference data as a research source. This paper suggests a pragmatic but systematic approach to solving these research issues by using several research strategies that are described in the context of the authors’ research and practice.

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This paper examines a methodology for establishing quality in online learning environments. For e-learning to be sustainable in flexible, open and distance learning, its value in learning must be able to be analysed. In the case of computer conferencing, one way to do this is with content analysis. This methodology is discussed with a review of current frameworks. These indicate that while some researchers and evaluators either use or modify existing frameworks, most researchers develop new ones, generally through the adaptation of existing theories, concepts or model, but in some cases through grounded theory approaches. The development and implementation of two frameworks are then discussed in detail. Both were developed to investigate and evaluate both collaborative learning and deep and surface learning as evidenced in computer conferences. Evidence of such learning attributes are precisely the elements of value in e-learning that can be shown through such a methodology. These attributes can then be integrated into courses developed for quality online learning environments.

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Most real-world datasets are, to a certain degree, skewed. When considered that they are also large, they become the pinnacle challenge in data analysis. More importantly, we cannot ignore such datasets as they arise frequently in a wide variety of applications. Regardless of the analytic, it is often that the effectiveness of analysis can be improved if the characteristic of the dataset is known in advance. In this paper, we propose a novel technique to preprocess such datasets to obtain this insight. Our work is inspired by the resonance phenomenon, where similar objects resonate to a given response function. The key analytic result of our work is the data terrain, which shows properties of the dataset to enable effective and efficient analysis. We demonstrated our work in the context of various real-world problems. In doing so, we establish it as the tool for preprocessing data before applying computationally expensive algorithms.

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This paper explores advertising to marketers within Marketing News over four periods 1992, 1997, 2002 and 2007. The results identified the types of advertisements, in terms of appeal; products (most of which were for marketing research related activates) and coverage were relatively stable over time. There were increases in the number of advertisements, the appearance of web related services and a slight increase in products with a global focus and a reduction of a regional focus were evident.

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The study's aim was to investigate whether an Entrepreneurial Business Planning (EBP) paradigm could be discovered as a body of core, common maxims within the normative EBP literature (works of the 'how-to-write-a-successful-new-venture-business-plan' genre). It employed content analysis techniques adapted mainly from the methodological prescriptions of Krippendorf (1980) and Carney (1972). The textual investigation produced a comprehensive, quantitative data base capable of sufficient interpretative richness to discover that an established Entrepreneurial Business Planning paradigm does exist. Its major elements embrace two key assumptions, four strong mandates and four weaker mandates.

The discovery is significant for two main reasons. First, it provides a formally-researched, explicitly-articulated EBP paradigm. This can replace the anecdotal, unarticulated assumption (implicit in most of the normative EBP literature) that an EBP paradigm 'probably exists'. Second, the research redresses some of the imbalance between entrepreneurship teaching- where Entrepreneurial Business Planning is at the core of international curricula - and entrepreneurship research which has virtually ignored EBP as a topic worthy of serious scrutiny. A firm basis for critical, scholarly exploration of the neglected EBP field is now established. This takes the theory and practice of EBP into a new era beginning with recognition that the discovered EBP paradigm is badly flawed and likely, if blindly applied, to lead to the writing of unsuccessful business plans.

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As an interesting application on cloud computing, content-based image retrieval (CBIR) has attracted a lot of attention, but the focus of previous research work was mainly on improving the retrieval performance rather than addressing security issues such as copyrights and user privacy. With an increase of security attacks in the computer networks, these security issues become critical for CBIR systems. In this paper, we propose a novel two-party watermarking protocol that can resolve the issues regarding user rights and privacy. Unlike the previously published protocols, our protocol does not require the existence of a trusted party. It exhibits three useful features: security against partial watermark removal, security in watermark verification and non-repudiation. In addition, we report an empirical research of CBIR with the security mechanism. The experimental results show that the proposed protocol is practicable and the retrieval performance will not be affected by watermarking query images.

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IS research on social media (e.g. Facebook, Twitter, blogs) has so far used user surveys or quantitative content analysis (QuantCA) research methods almost exclusively. There is considerable potential for social informatics research to use qualitative content analysis (QualCA) to explore social media discourse and its appropriation by people “in situ”. This paper presents the position that QualCA offers researchers the flexibility to identify emergent research questions and units of analysis which they may not have preconceived. This is likely to be important for IS research because of the infancy and evolving nature of social media discourse. The paper puts forward suggestions on how the QualCA research method can be adapted for this type of research.

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The sport industry has identified the importance of using the internet as a tool that can benefit the organisation. Much like the purpose of entering into sponsorship of sporting events, corporate partners are also attracted to the opportunities that professional sport team websites offer to fulfil similar objectives. The major purpose of this research is to explore the various ways in which sponsor logos are represented across professional sport websites and to extend previous advertising research, specifically the work developing advertising attribute typologies. The subjects for this research are professional sport websites and a qualitative approach is adopted with a content analysis as the main method of analysis used. To ensure reliability and validity within the coding instruments used, percentage agreement and Cohen’s kappa were adopted as indexes to verify this. The findings show sponsors’ logos exist on most professional sport websites and are represented in a variety of ways. Furthermore, a typology for sponsor representation and location across sport websites has been established to present a reliable foundation for future research in the area of consumer attitudes, behaviour and response towards sponsors and their presence on sport websites.

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Various issues related to the multimedia information retrieval and media access are discussed. The feasible solutions for automatic signal-based analysis of media content are analyzed. The extent of user involvement in the content creation process is emphasized. The applications driving the creation and usage of context and metadata are also elaborated.

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In India, not unlike some other developing countries, ruling parties have used public service broadcasters to propagate their virtues, adversely affecting the broadcasters' image as a credible news media. The Indian public service broadcaster. Doordarshan,
which has been besieged by increased competition and government-imposed demandfor selfsufficiency in recent years, continues to struggle to shed its image as a government mouthpiece despite being run by an independent corporation. This article
presents a content analysis of news programs broadcast by Doordarshan and a foreign television network. Star News. The study examines the differences and similarities between Doordarshan and Star TV's prime time news programs broadcast at the turn ofthe century, almost a decade after the advent ofcommercial television in India broke the public service broadcaster's monopoly in the country.

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 In Australia, the growth in the provision of early childhood services for very young children aged birth to three years has placed increased demands on pre-service teachers as new policy stipulates the need for qualified early childhood teachers. While many teacher education programs offer early childhood courses, they have traditionally had a greater focus on kindergarten and the formal years of schooling. Less is known about the amount of time devoted to developing the specialist educational capacity for teaching and caring for infants and toddlers. This paper explores 55 Australian early childhood teacher undergraduate education programs to provide data regarding what pre-service teachers learn about children from birth to three years of age during their formal program of study. It explores: if pre-service teachers engage in practical experiences with this age range; what content they learn; and how knowledge for this age range is assessed. Utilising information from fully accessible public program websites, data in the form of course details were examined to reveal the extent and nature of courses inclusive of teaching and learning focusing on children aged from birth to three years. Of the 55 programs, 18 programs provided practical experience with infants and toddlers, and to a lesser extent content was evident and assessed. Most of the programs which included a focus on birth to three years of age were delivered by Victorian institutions. Findings are important for the future of early childhood teacher education in Australia and hold key messages for teacher registration bodies.

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Food marketing is recognized as an important factor influencing children's food preferences and consumption. The purpose of this study was to examine the nature and extent of unhealthy food marketing and non-branded food references in magazines targeted at and popular among children and adolescents 10–17 years in New Zealand. A content analysis was conducted of all food references (branded and non-branded) found in the five magazines with the highest readership among 10–17 year olds, and the three magazines (of which two were already included among the five most popular magazines) targeted to 10–17 year olds. For each of the six magazines one issue per month (n = 72 issues in total) over a one-year period (December 2012–January 2014) was included. All foods referenced were classified into healthy/unhealthy according to the food-based Ministry of Health classification system. Branded food references (30% of total) were more frequent for unhealthy (43%) compared to healthy (25%) foods. Magazines specifically targeted to children and adolescents contained a significantly higher proportion of unhealthy branded food references (72%, n = 51/71) compared to the most popular magazines among children and adolescents (42%, n = 133/317), of which most were targeted to women. ‘Snack items’ such as chocolates and ice creams were marketed most frequently (n = 104; 36%), while ‘vegetables and fruits’ were marketed the least frequently (n = 9; 3%). Direct advertisements accounted for 27% of branded food references and 25% of those featured health or nutrition claims. Both branded and non-branded food references were common within magazines targeted at and popular among children and adolescents, and skewed toward unhealthy foods. This raises concerns about the effectiveness of self-regulation in marketing and emphasizes that government regulations are needed in order to curb children's current potential high exposures to unhealthy food marketing. In addition, magazine editors could take socially responsible editorial positions in regard to healthy eating.