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Several studies have investigated the association between students' seating positions and their classroom performance. However, the role of personality traits on seating preference in the classroom has not been well investigated. The aim of the study was to understand how students choose their seats according to their personality traits in a classroom context and the influence of personality characteristics and seat selection on educational achievement. The seating positions of the medical students were recorded on an architectural plan during each class session, and the means and standard deviations of the students' locations were calculated in X and Y orientations. The locations of the students in the class were analyzed based on three architectural classifications: interactional zone, distance from the board, and access to the aisles. The NEO Five-Factor Inventory was used to evaluate the five main personality characteristics of the students. Midterm and final exam scores were used to measure the students' educational achievement. Analysis of variance showed a statistical significance correlation between the interactional zones and both agreeableness and conscientiousness. Mantel–Haenszel analysis showed a statistical significance association between sex and agreeableness and openness to experiences, which was mainly caused by zone II. Among the tested characteristics, a statistically significant relationship was observed between agreeableness and final exam scores. There was a statistical significance difference in openness and extraversion between the students with a high number of absences and their classmates. A relationship between the student's locations in the class, their educational achievements, and some of their personality characteristics are addressed.  相似文献   
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Knowledge Management Research & Practice - The intensity of global competition and ever-increasing economic uncertainties has led organizations to search for more efficient and effective ways...  相似文献   
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We summarize a recently developed microtechnology for printing biomaterials on biological surfaces. The technique is based on the use of immiscible aqueous solutions of two biopolymers and allows spatially defined placement of cells and biomolecules suspended in the denser aqueous phase on existing cell layers and extracellular matrix hydrogel surfaces maintained in the second phase. Printing takes place due to an extremely small interfacial tension and density difference between the two aqueous phases. The contact-free printing process ensures that both printed cells and the underlying cell monolayer maintain full viability and functionality. The technique accommodates both arbitrarily shaped patterns and microarrays of cells and bioreagents. The capability to print cells and small molecules on existing cell layers enables unique interrogations of the effects of cell-cell and cell-material interaction on cell fate and function. Furthermore, the very gentle conditions and the ability to directly pattern nongel embedded cells over cells make this technology appealing to tissue engineering applications where patterned multicellar organization with minimal scaffolding materials is needed, such as in dense tissues of the skeletal muscle and liver.  相似文献   
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Educational technology research and development - Providing high-quality courses is of utmost importance to drive successful learning. This compels course authors to continuously review their...  相似文献   
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The success or failure of any team lies in the skills and abilities of the players that comprise the team. The process of player selection and team formation in multi-player sports is a complex multi-criteria problem where the ultimate success is determined by how the collection of individual players forms an effective team. In general, the selection of soccer players and formation of a team are judgments made by the coaches on the basis of the best available information. Very few structured and analytical models have been developed to support coaches in this effort. We propose a two-phase framework for player selection and team formation in soccer. The first phase evaluates the alternative players with a fuzzy ranking method and selects the top performers for inclusion in the team. The second phase evaluates the alternative combinations of the selected players with a Fuzzy Inference System (FIS) and selects the best combinations for team formation. A case study is used to illustrate the performance of the proposed approach.  相似文献   
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