1,720,965 research outputs found

    Playful Learning for Anatomy: Using Play-Doh to Visualise the Heart

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    Mastery of cardiovascular skills and knowledge has long been challenging for students, with higher order thinking proving difficult despite modern technological advancements, and well-established approaches like dissection. We therefore sought to incorporate active, playful learning into our foundation instruction in Cardiovascular Anatomy and Physiology. Seventy-seven Foundation Year students undertook an online didactic lecture and then one week later, attended the playful learning session where they used Play-Doh to make a detailed model of the human heart under the instruction of an academic, consolidating their prior learning. They were given a post activity, five-point Likert questionnaire, with four additional open answer questions, and responses were analysed using a weighted average as a threshold for positive response. Broadly, students enjoyed and would repeat a playful activity, and felt that the activity increased their interest, improved their knowledge, identified their weaknesses, checked their existing knowledge, and allowed them to interact with their team, but students did not feel that they were able to learn more than in traditional activities per se. Using Play-Doh to model the heart is a fun and effective way of teaching anatomy, and further research is needed to ascertain its impact on student outcomes

    Teaching Principles of an Action Potential Using Candy

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    Neurophysiology is crucial but often-intimidating subject for undergraduate students. To address the challenge of “neurophobia” educators have developed myriad techniques to inspire students and enhance their interest in the discipline. We therefore sought employ one such innovation to further engage our students, leveraging students’ familiarity with food to make the abstract concept of the action potential accessible.Seventy-seven Foundation Year students undertook a 60-minute in-person didactic lecture and then a two-hour active learning class using Smarties and Play-Doh to make a detailed model of an action potential and its constituent phases. They were given a post-activity five-point Likert questionnaire with four open-ended questions, and responses were analyzed with a weighted average (x̄w). Broadly, students enjoyed the playfulness of the activity and agreed that they would like to repeat it. Respondents did not agree that the activity per se motivated them, but they agreed that the activity improved their knowledge of action potentials, felt the format was appropriate to check their knowledge, and felt that it helped identify weaknesses in their understanding. Students felt they were able to connect with their team during the activity, that they learned from their teammates during the activity, and teamwork as a positive was a repeated theme in the open answer questions.Using Smarties to teach action potentials is a fun and effective way to teach neurophysiology and further research is required to determine its impact on student attainment

    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

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