969 resultados para web survey


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Esta dissertação descreve o processo de desenvolvimento de um sistema de informação para a gestão da informação académica de programas de pósgraduação - Sistema WebMaster - que tem como objectivo tornar aquela informação acessível aos utilizadores através da World Wide Web (WWW). Começa-se por apresentar alguns conceitos que se julgam relevantes para a compreensão da problemática dos sistemas de informação em toda a sua abrangência numa determinada organização, particularizando alguns conceitos para o caso das universidades. De seguida reflecte-se sobre os sistemas de informação com base na Web, confrontando-se os conceitos de Web Site (tradicional) e aplicação Web, a nível de arquitectura tecnológica, principais vantagens e desvantagens, fazendo-se, ainda, uma breve referência às principais tecnologias para a construção de soluções com geração dinâmica de conteúdos. Por último representa-se o sistema WebMaster ao longo das suas diferentes etapas de desenvolvimento, desde a análise de requisitos, projecto do sistema, até à fase da implementação. A fase análise de requisitos foi levada a cabo através de um inquérito realizado aos potenciais utilizadores no sentido de identificar as suas necessidades de informação. Com base nos resultados desta fase apresenta-se o projecto do sistema numa perspectiva conceptual, navegacional e de interface de utilizador, fazendo uso da metodologia OOHDM - Object-Oriented Hypermedia Design Method. Finalmente, passa-se à fase da implementação que, com base nas etapas anteriores e nas tecnologias seleccionadas na fase do planeamento, proporciona um espaço interactivo e de troca de informação a todos os interessados da comunidade académica envolvidos em cursos de pós-graduação.

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This exploratory, descriptive action research study is based on a survey of a sample of convenience consisting of 172 college and university marketing students, and 5 professors who were experienced in teaching in an internet based environment. The students that were surveyed were studying e-commerce and international business in 3^^ and 4*'' year classes at a leading imiversity in Ontario and e-commerce in 5^ semester classes at a leading college. These classes were taught using a hybrid teaching style with the contribution of a large website that contained pertinent text and audio material. Hybrid teaching employs web based course materials (some in the form of Learning Objects) to deliver curriculimi material both during the attended lectures and also for students accessing the course web page outside of class hours. The survey was in the form on an online questionnaire. The research questions explored in this study were: 1. What factors influence the students' ability to access and learn from web based course content? 2. How likely are the students to use selected elements of internet based curriculum for learning academic content? 3. What is the preferred physical environment to facilitate learning in a hybrid environment? 4. How effective are selected teaching/learning strategies in a hybrid environment? The findings of this study suggest that students are very interested in being part of the learning process by contributing to a course web site. Specifically, students are interested in audio content being one of the formats of online course material, and have an interest in being part of the creation of small audio clips to be used in class.

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Semantic Web Mining aims at combining the two fast-developing research areas Semantic Web and Web Mining. This survey analyzes the convergence of trends from both areas: Growing numbers of researchers work on improving the results of Web Mining by exploiting semantic structures in the Web, and they use Web Mining techniques for building the Semantic Web. Last but not least, these techniques can be used for mining the Semantic Web itself. The second aim of this paper is to use these concepts to circumscribe what Web space is, what it represents and how it can be represented and analyzed. This is used to sketch the role that Semantic Web Mining and the software agents and human agents involved in it can play in the evolution of Web space.

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Semantic Web Mining aims at combining the two fast-developing research areas Semantic Web and Web Mining. This survey analyzes the convergence of trends from both areas: an increasing number of researchers is working on improving the results of Web Mining by exploiting semantic structures in the Web, and they make use of Web Mining techniques for building the Semantic Web. Last but not least, these techniques can be used for mining the Semantic Web itself. The Semantic Web is the second-generation WWW, enriched by machine-processable information which supports the user in his tasks. Given the enormous size even of today’s Web, it is impossible to manually enrich all of these resources. Therefore, automated schemes for learning the relevant information are increasingly being used. Web Mining aims at discovering insights about the meaning of Web resources and their usage. Given the primarily syntactical nature of the data being mined, the discovery of meaning is impossible based on these data only. Therefore, formalizations of the semantics of Web sites and navigation behavior are becoming more and more common. Furthermore, mining the Semantic Web itself is another upcoming application. We argue that the two areas Web Mining and Semantic Web need each other to fulfill their goals, but that the full potential of this convergence is not yet realized. This paper gives an overview of where the two areas meet today, and sketches ways of how a closer integration could be profitable.

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Lecture 1: The Pioneers and History of Hypertext (pre-WWW) Contains Powerpoint Lecture slides and Hypertext Research Papers: Bush: As We may Think; Engelbart: NLS and A Framework for Augmenting Human Intelligence; Nelson: Xanalogical Structure; Conklin: A Survey of Hypertext; Halasz 1987: Reflections on NoteCards: Seven Issues for the Next Generation of Hypermedia Systems; Berners-Lee 1994 The World-Wide Web.

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Multiple choice quizzes for each lab

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Income growth in highly industrialised countries has resulted in consumer choice of foodstuffs no longer being primarily influenced by basic factors such as price and organoleptic features. From this perspective, the present study sets out to evaluate how and to what extent consumer choice is influenced by the possible negative effects on health and environment caused by the consumption of fruit containing deposits of pesticides and chemical products. The study describes the results of a survey which explores and estimates consumer willingness to pay in two forms: a yearly contribution for the abolition of the use of pesticides on fruit, and a premium price for organically grown apples guaranteed by a certified label. The same questionnaire was administered to two samples. The first was a conventional face-to-face survey of customers of large retail outlets located around Bologna (Italy); the second was an Internet sample. The discrete choice data were analysed by means of probit and tobit models to estimate the utility consumers attribute to organically grown fruit and to a pesticide ban. The research also addresses questions of validity and representativeness as a fundamental problem in web-based surveys.

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Social network has gained remarkable attention in the last decade. Accessing social network sites such as Twitter, Facebook LinkedIn and Google+ through the internet and the web 2.0 technologies has become more affordable. People are becoming more interested in and relying on social network for information, news and opinion of other users on diverse subject matters. The heavy reliance on social network sites causes them to generate massive data characterised by three computational issues namely; size, noise and dynamism. These issues often make social network data very complex to analyse manually, resulting in the pertinent use of computational means of analysing them. Data mining provides a wide range of techniques for detecting useful knowledge from massive datasets like trends, patterns and rules [44]. Data mining techniques are used for information retrieval, statistical modelling and machine learning. These techniques employ data pre-processing, data analysis, and data interpretation processes in the course of data analysis. This survey discusses different data mining techniques used in mining diverse aspects of the social network over decades going from the historical techniques to the up-to-date models, including our novel technique named TRCM. All the techniques covered in this survey are listed in the Table.1 including the tools employed as well as names of their authors.

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We present a catalogue of galaxy photometric redshifts and k-corrections for the Sloan Digital Sky Survey Data Release 7 (SDSS-DR7), available on the World Wide Web. The photometric redshifts were estimated with an artificial neural network using five ugriz bands, concentration indices and Petrosian radii in the g and r bands. We have explored our redshift estimates with different training sets, thus concluding that the best choice for improving redshift accuracy comprises the main galaxy sample (MGS), the luminous red galaxies and the galaxies of active galactic nuclei covering the redshift range 0 < z < 0.3. For the MGS, the photometric redshift estimates agree with the spectroscopic values within rms = 0.0227. The distribution of photometric redshifts derived in the range 0 < z(phot) < 0.6 agrees well with the model predictions. k-corrections were derived by calibration of the k-correct_v4.2 code results for the MGS with the reference-frame (z = 0.1) (g - r) colours. We adopt a linear dependence of k-corrections on redshift and (g - r) colours that provide suitable distributions of luminosity and colours for galaxies up to redshift z(phot) = 0.6 comparable to the results in the literature. Thus, our k-correction estimate procedure is a powerful, low computational time algorithm capable of reproducing suitable results that can be used for testing galaxy properties at intermediate redshifts using the large SDSS data base.

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The purpose of this presentation is to discuss how teacher’s leadership can be used as a teaching method in web based language education. The environments that offer online courses provide a wide field for discussion on the contact between teacher and student. My intention is to contribute to the debate on teacher leadership in online courses. In my earlier studies on leadership, I have explored how some religious leaders affected different social movements in Brazil during the military dictatorship (1964-1985). Pruth (2004) by examining the three kinds of legitimacy described by Max Weber I aimed at seeing and analyzing how religious leaders used different teaching methods to explain their messages to ordinary citizens. Thus my research showed how educational leadership is a way to get people to reach their goals. I became interested in the subject teacher’s leadership whenI participated in a survey of the teaching methods of language courses in Dalarna University which is funded by the NGL Center of Dalarna University. In  this project, we have made interviews with the teachers, undertaken the course plans (in the language department at Dalarna University) and categorized the learning outcomes. A questionnaire was constructed based on the learning outcomes and then either sent out remotely to teachers or completed face to face through interviews. The answers provided to the questionnaires enabled the  project to identify many differences in how language teachers interact with their students but  also, the way of giving feedback, motivating and helping students, types of class activities and materials used. This made me aware of how teachers use their leadership or not in their teaching. My focus is to look at the relationship between teachers and students as an important part of the development and quality of online courses. The teacher's performance on campus is different from online courses. I want to understand how the contact between teachers and students in online courses develop and look at how students can make use of this contact and what influence the teacher's leadership has on the ability for the students to achieve the goals of their course

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A survey published in the Medical Journal of Australia in 1997 showed that the incidence of non-voluntary euthanasia in Australia was higher than in the Netherlands. Euthanasia is illegal in Australia, while it is openly practiced in the Netherlands. It has been suggested that the results of the survey undermine the slippery slope argument against legalising euthanasia. This is wrong. Although at the time of the survey, euthanasia was formally prohibited by the law in Australia, the medical and legal culture was such that doctors could practice euthanasia with impunity — in certain circumstances euthanasia by doctors was effectively condoned. This is in fact supported by the findings of the survey. The survey suggests that there were approximately 6,700 cases of euthanasia in Australia in the year from July 1994 to June 1995 — not one of which was prosecuted, let alone resulted in a conviction. Ultimately the survey merely shows that in a climate where voluntary euthanasia is tolerated, wide scale abuses (in the form of nonvoluntary euthanasia) occur. Paradoxically the results of the survey give further support to the slippery slope argument.

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Existing research on B2B iMarketplaces (and the intermediaries which operate them) has tended to focus on viewing US iMarketplace web sites or conducting case studies. This paper builds upon thsi work by conducting a survey of the total identifiable population of Australian B2B iMarketplace intermediaries to determine whether the classifications of such iMarketplaces provided in the literature apply in the Australian context. The paper also provdies a preliminary classification scheme which is intended to provide researchers with a framework for studying and describing the evolution of B2B iMarketplaces over time.