1,721,118 research outputs found
Aislamiento barrial y labores educativas sociales
Get PDFSe describe la experiencia de generar espacios para dar continuidad a los vínculos educativos y las actividades socioculturales para niñas y niños de barrios con altas vulnerabilidades de Mendoza, Argentina, a partir del aislamiento dispuesto por el COVID-19.Fil: Murúa, Andrés. Universidad Nacional de Cuyo. Facultad de Educación.Fil: Bernal, Daniel. Universidad Nacional de Cuyo. Facultad de Educación.Fil: Ribó, Eduardo. Universidad Nacional de Cuyo. Facultad de Educación
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe 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
Collaborative recommendations in virtual learning environments.
Get PDFRecommender systems are software applications that aim to suggest meaningful and useful items to users chen interacting with large volumes of data such as online multimedia content, news, products, among others. These systems generate personalized recommendations of items based on the explicit or implicit preferences expressed by users, as well as information about their collaborations and relationships. there are numerous fields of application for these systems such as e-commerce, social networking, online streaming, among others, playing a key role in virtual learning environments. Recommender systems assist students in finding appropriate educational items, enhancing their learning experience and academia results. Two previous research projects (QHIR LACCIR and UTU) with limited scope, provided experience in different aspects of the development of recommendation algorithms which process information about socially-connected users and their collaborations. Based on those positive results obtained, this thesis proposes mechanisms to generate personalized recommendations to students through the development of a complete recommender system, using information about their collaborations in virtual learning environments. The aim is to describe and specify in detail wow different approaches, techniques, and recommendation algorithms are used to produce meaningful recommendations in real life educational scenarios. More specifically, it focuses on personalized recommendations for medical doctors and other health specialists enrolled in online Continuing Medical Education (CME) courses Iliroiigli a virtual learning environment end RedEMC. A general conclusion based on user feedback given by students, is that collaborative recommendations enhance each students’ learning process and user’s experience, stimulating further collaboration. It is worth to highlight that explicit feedback given by RedEMC’s users stated that more than 90% of the recommendations of resources/activities and comments were rated positively.Los sistemas recomendadores son aplicaciones de software que tienen como objetivo sugerir elementos significativos y útiles para los usuarios cuando interactúan con grandes volúmenes de datos, como contenido multimedia en línea, noticias, productos, entre otros. Estos sistemas generan recomendaciones personalizadas de elementos basándose en las preferencias explícitas o implícitas expresadas por los usuarios, así como información sobre sus colaboraciones y relaciones. Existen numerosos campos de aplicación para estos sistemas, como el comercio electrónico, las redes sociales, la transmisión en línea, entre otros, desempeñando un papel clave en entornos de aprendizaje virtual. Los sistemas recomendadores ayudan a los estudiantes a encontrar elementos educativos apropiados, mejorando su experiencia de aprendizaje y resultados académicos. Dos proyectos de investigación anteriores (QHIR LACCIR y UTU) con alcance limitado, proporcionaron experiencia en diferentes aspectos del desarrollo de algoritmos de recomendación que procesan información sobre usuarios socialmente conectados y sus colaboraciones. Basados en estos resultados positivos obtenidos, esta tesis propone mecanismos para generar recomendaciones personalizadas para los estudiantes a través del desarrollo de un sistema recomendador completo, utilizando información sobre sus colaboraciones en entornos de aprendizaje virtual. El objetivo es describir y especificar en detalle cómo se pueden utilizar diferentes enfoques, técnicas y algoritmos de recomendación para producir recomendaciones significativas en escenarios educativos de la vida real. Más específicamente, se enfoca en recomendaciones personalizadas para médicos y otros especialistas de la salud inscriptos en cursos en línea de educación médica continua a través de un entorno de aprendizaje virtual denominado RedEMC.
Una conclusión general basada en la retroalimentación dada por los usuarios es que las recomendaciones colaborativas en entornos virtuales de aprendizaje mejoran el proceso de aprendizaje de los estudiantes y la experiencia de usuaario de cada estudiante, estimulando una mayor colaboración. Cabe destacar que la retroalimentación explícita dada por los usuarios de RedEMC afirmaron que más del 90% de las recomendaciones de recursos/actividades y comentarios fueron calificadas positivamente
Variations on the Author
Get PDF“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
Get PDFWe 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
Get PDFWe 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
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe 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
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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