114,746 research outputs found

    A hybrid method for the analysis of learner behaviour in active learning environments

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    Software-mediated learning requires adjustments in the teaching and learning process. In particular active learning facilitated through interactive learning software differs from traditional instructor-oriented, classroom-based teaching. We present behaviour analysis techniques for Web-mediated learning. Motivation, acceptance of the learning approach and technology, learning organisation and actual tool usage are aspects of behaviour that require different analysis techniques to be used. A hybrid method based on a combination of survey methods and Web usage mining techniques can provide accurate and comprehensive analysis results. These techniques allow us to evaluate active learning approaches implemented in form of Web tutorials

    Optimizing webpage relevancy using page ranking and content based ranking.

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    Systems for web information mining can be isolated into a few classifications, depending on the type of target data and the purposes of the activity: Web structure mining; Web utilization mining; and Web Content Mining. This paper proposes another Web Content Mining system for page significance positioning, taking into account the page content investigation. The strategy, Page Content Rank (PCR), consolidates various heuristics that appear to be critical for breaking down the substance of Web pages. The page significance is resolved on the base of the significance of terms that the page contains. The significance of a term is determined concerning a given inquiry "q", and it depends on its measurable and linguistic elements. As a source set of pages for mining, we utilize an arrangement of pages retrieved by a web search tool to the question "q". PCR utilizes a neural system as its inward order structure. We depict a usage of the proposed strategy and an examination of its outcomes with the other existing characterization framework - page rank algorithm

    Finding usage patterns from generalized weblog data

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    Buried in the enormous, heterogeneous and distributed information, contained in the web server access logs, is knowledge with great potential value. As websites continue to grow in number and complexity, web usage mining systems face two significant challenges - scalability and accuracy. This thesis develops a web data generalization technique and incorporates it into the web usage mining framework in an attempt to exploit this information-rich source of data for effective and efficient pattern discovery. Given a concept hierarchy on the web pages, generalization replaces actual page-clicks with their general concepts. Existing methods do this by taking a level-based cut through the concept hierarchy. This adversely affects the quality of mined patterns since, depending on the depth of the chosen level, either significant pages of user interests get coalesced, or many insignificant concepts are retained. We present a usage driven concept ascension algorithm, which only preserves significant items, possibly at different levels in the hierarchy. Concept usage is estimated using a small stratified sample of the large weblog data. A usage threshold is then used to define the nodes to be pruned in the hierarchy for generalization. Our experiments on large real weblog data demonstrate improved performance in terms of quality and computation time of the pattern discovery process. Our algorithm yields an effective and scalable tool for web usage mining

    Analysis of Customer Behavior Using Web Usage Mining

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    This paper attempts to figure out the concealed data and establish user behavior online by exploiting the online as a source for data collection. With the assistance of this information, user behavior can be predicted very easily. Free tool like similar web and page score were used to analyze user pattern on the web site of the particular establishment. These tools attempt to conduct mining on the web in an independent manner. The experimental result emphasizes a clear way to surf through the web and enhance the design of the web. This paper discusses the elaborate results of website in a particular education domain application. The main objective of conducting this study on websites of the different polytechnics in Federal Republic of Nigeria is to discern the pattern of behavioral expressions and user characteristics so that institutional establishments can enhance their website structure and may transfer additional information in an applicable and timely manner. Keywords: Customer Behavior; Web usage mining; similar web; Page Score; Pattern. DOI: 10.7176/IKM/10-6-02 Publication date:September 30th 202

    Development of bambangan (Mangifera pajang) carbonated drink

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    Mangifera pajang Kostermans or bambangan is a popular fruit among Sabahan due to its health and economic values. However, the fruit is not fully commercialized since it is usually been used as traditional cuisine by local people. Thus, development of bambangan fruit into carbonated drink was conducted to produce new product concept. The objectives of this study were to conceptualize, formulate, evaluate consumer acceptance, and determine physicochemical properties and nutritional composition of the accepted product. Method used in conceptualising the product was based on questionnaire. The consumer acceptance was evaluated based on descriptive and affective tests with four product formulations tested. The physicochemical properties on carbon dioxide volume, colour, pH, total acidity, total soluble solid (TSS) and viscosity were highlighted, meanwhile nutritional composition on fat, protein, carbohydrates and energy content were determined. About 77% respondents gave positive feedback, and 69% respondents decided this product is within their budget. The formulation of 5% bambangan pulp, 70% water, 25% sugar and 0.2% citric acid was highly accepted in descriptive and affective tests with 4.4 and 6.39 mean scores, respectively. The physicochemical properties and nutritional composition of the acceptance product were in optimum value except for colour, total acidity and TSS. Overall, this study showed that the product has high potential to be commercialized as new product concept, and heritage of indigenous people can be preserved when this fruit is known regionally

    An active learning and training environment for database programming

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    Active learning facilitated through interactive, self-controlled learning environments differs substantially from traditional instructor-oriented, classroom-based teaching. We present a tool for database programming that integrates knowledge learning and skills training. How these tools are used most effectively is still an open question. Therefore, we discuss analysis and evaluation of these Web-based environments focusing on different aspects of learning behaviour and tool usage. Motivation, acceptance of the learning approach, learning organisation and actual tool usage are aspects of behaviour that require different techniques to be used

    Data mining technology for the evaluation of learning content interaction

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    Interactivity is central for the success of learning. In e-learning and other educational multimedia environments, the evaluation of interaction and behaviour is particularly crucial. Data mining – a non-intrusive, objective analysis technology – shall be proposed as the central evaluation technology for the analysis of the usage of computer-based educational environments and in particular of the interaction with educational content. Basic mining techniques are reviewed and their application in a Web-based third-level course environment is illustrated. Analytic models capturing interaction aspects from the application domain (learning) and the software infrastructure (interactive multimedia) are required for the meaningful interpretation of mining results
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