133,186 research outputs found

    D. Yin Foo

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    Made available by the Northern Territory Library via the Publications (Legal Deposit) Act 2004 (NT).Date:2004-1

    What are our international students telling us? Further explorations of a formative feedback intervention, to support academic literacy

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    This study reports on a further iteration of an action research cycle, discussed in Burns and Foo 2012, 2013). It explores how formative feedback on academic literacy was used and acted upon, and if a Formative Feedback Intervention (FFI) increased the students’ confidence in future assignments. It also considers whether the assignment of a grade was beneficial. Students were asked to give written reflections using Gibbs reflective model (1988) and later via a semi-structured questionnaire. In-depth interviews were also carried out to provide rich data. Findings suggest students are taking appropriate actions to close the gap (Sadler, 1989) in particular sharing with their peers. Feedback is reported to be an emotional experience; the grade assigned is highly valued and appears to be used for self-motivation. In addition, students raised the issue of the cultural adjustment they are making to bridge the gap between the teaching and learning of their home and new environment. Keywords Academic literacy; formative feedback; international students

    D Yin Foo.

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    Made available by the Northern Territory Library via the Publications (Legal Deposit) Act 2004 (NT).Introduction -- Hydrogeology -- Results -- Recommendations -- references -- Appendices -- List of Figures

    D. Yin Foo

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    Made available by the Northern Territory Library via the Publications (Legal Deposit) Act 2004 (NT).Introduction -- Bore testing -- Water Quality -- Bore completion reports -- Conclusions -- Recommendations -- References -- Appendices: Final statement of bore reports -- Test pumping data -- Three arm calliper logs -- Water quality data.Date:2006-0

    Author Co-Citation Analysis (ACA): a powerful tool for representing implicit knowledge of scholar knowledge workers

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    In the last decade, knowledge has emerged as one of the most important and valuable organizational assets. Gradually this importance caused to emergence of new discipline entitled ―knowledge management‖. However one of the major challenges of knowledge management is conversion implicit or tacit knowledge to explicit knowledge. Thus Making knowledge visible so that it can be better accessed, discussed, valued or generally managed is a long-standing objective in knowledge management. Accordingly in this paper author co- citation analysis (ACA) will be proposed as an efficient technique of knowledge visualization in academia (Scholar knowledge workers)

    MeSH term explosion and author rank improve expert recommendations

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    Information overload is an often-cited phenomenon that reduces the productivity, efficiency and efficacy of scientists. One challenge for scientists is to find appropriate collaborators in their research. The literature describes various solutions to the problem of expertise location, but most current approaches do not appear to be very suitable for expert recommendations in biomedical research. In this study, we present the development and initial evaluation of a vector space model-based algorithm to calculate researcher similarity using four inputs: 1) MeSH terms of publications; 2) MeSH terms and author rank; 3) exploded MeSH terms; and 4) exploded MeSH terms and author rank. We developed and evaluated the algorithm using a data set of 17,525 authors and their 22,542 papers. On average, our algorithms correctly predicted 2.5 of the top 5/10 coauthors of individual scientists. Exploded MeSH and author rank outperformed all other algorithms in accuracy, followed closely by MeSH and author rank. Our results show that the accuracy of MeSH term-based matching can be enhanced with other metadata such as author rank

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed

    "Closing the R&D Gap, Evaluating the Sources of R&D Spending"

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    Both spending and tax policies have been implemented in the United States with the goal of stimulating private sector research and development (R&D). Karier questions whether current R&D policy, especially the research and experimentation tax credit, can contribute to closing the gap between nondefense expenditures on R&D in the United States and such expenditures in other countries, such as Japan and Germany. He also explores possible changes to our current R&D policy to make it more effective.

    A. D. Fricke, author

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    Black and white photograph of author, A. D. Fricke

    Bibliometric cartography of information retrieval research by using co-word analysis

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    The aim of this study is to map the intellectual structure of the field of Information Retrieval (IR) during the period of 1987-1997. Co-word analysis was employed to reveal patterns and trends in the IR field by measuring the association strengths of terms representative of relevant publications or other texts produced in IR field. Data were collected from Science Citation Index (SCI) and Social Science Citation Index (SSCI) for the period of 1987-1997. In addition to the keywords added by the SCI and SSCI databases, other important keywords were extracted from titles and abstracts manually. These keywords were further standardized using vocabulary control tools. In order to trace the dynamic changes of the IR field, the whole 11-year period was further separated into two consecutive periods: 1987-1991 and 1992-1997. The results show that the IR field has some established research themes and it also changes rapidly to embrace new themes
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