1,720,964 research outputs found

    Rubric for assessing thinking skills in free-response exam problems

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    We designed a rubric to assess free-response exam problems to compare thinking skills evidenced in exams in classes taught by different pedagogies. The rubric was designed based on Bloom’s taxonomy and then used to code exam problems. We have analyzed historical and recent exam problems in both algebra-based and calculus-based exams. In particular, we have examined cases where the same problem was administered on exams taught by different pedagogies. In some cases, we were able to compare different sections of the algebra-based physics course taught by the same instructor, sometimes during the same semester, one with inquiry-based instruction and the other in a more traditional lecture environment. We discuss the development of the instrument and present results. The inquiry-based students consistently demonstrated use of the thinking skills coded at least as often as the traditional students, and usually more often. We applied the rubric to compare thinking skills of two inquiry-based, laboratory-based Classical Mechanics courses, one taught online and one taught in-person during the pandemic and two inquiry-based, laboratory-based Electricity and Magnetism courses, one taught online and the other in-person during the pandemic. We discuss the method and analysis, present results and interpretations. No significant differences were found in thinking skills between students in the online and in-person pandemic Classical Mechanics courses. However, we did see a difference in the thinking skills between the online and in-person pandemic E&M courses as the semester progressed

    Intelligence in Context: A Context-specific Mindset Measure Better Predicts Outcomes for Science and Math Undergraduates

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    Mindset (beliefs about the malleability of intelligence) has been studied in a variety of contexts for decades. Recent research highlights the importance of contextual factors in moderating mindset’s impact on student outcomes. The commonly-used original mindset measure is context-general. Recently, a mindset measure that is specific to science and math undergraduates was developed: the Undergraduate Lay Theories of Abilities (ULTrA) Survey. I hypothesized that a context-specific measure of mindset would associate more strongly with undergraduates’ outcomes than a context-general measure. I surveyed 1537 undergraduates with Dweck’s 3-item original mindset measure, ULTrA, and measures of outcomes (sense of belonging, goal orientation, self-handicapping, evaluative concern and intent to persist in science) and collected course grades. Structural equation modeling indicated that the fixed factor of the ULTrA exhibited stronger and more consistent relationships with outcomes than the 3-item original mindset measure and predicted unique variance in outcomes above and beyond what the original mindset measure accounted for. The academic outcomes (intent to persist and course grade) were significantly related to ULTrA, but not the original mindset measure. Our results provide evidence that the context-specific ULTrA survey can detect relationships with undergraduate outcomes that the context-general original mindset measure can fail to detect

    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

    Variations on the Author

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    “Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship

    Appropriate Similarity Measures for Author Cocitation Analysis

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    We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis

    Dispelling the Myths Behind First-author Citation Counts

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    We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more sophisticated methods

    Author Index

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    koamabayili/VECTRON-author-checklist: VECTRON author checklist

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    We have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
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