1,720,959 research outputs found
Modelización de los factores que predicen el aprendizaje autorregulado: Estudio de caso de una universidad pública de Nigeria: Case Study of a Public University in Nigeria
No full textStudents can encounter significant challenges when transitioning from high school to university. Students must possess the necessary skills to adjust to the self-directed learning atmosphere of the university, however frequently lack the ability to take responsibility for their own learning. This study employs path-modeling techniques to investigate and analyze the multifaceted relationships between various factors, that can predict self-regulated learning as they impact learners' academic achievements in higher education settings, as informed by an extensive review of existing literature. The population for this study were university undergraduates using a researcher-designed questionnaire for data collection. The data collected was modelled reflectively using partial least squares structural equation modelling (PLS-SEM). Results show that the measurement model assessment showed strong reliability and convergent validity of the latent constructs. However, only technology significantly predicted self-regulated learning as contributing to students' academic success in higher education. The findings from this study contribute significantly to understanding the nuanced pathways through which various learning indicators interact to predict students' self-regulation as influencing students' academic performance in the higher education space. Insights gained from the analysis offer valuable implications for relevant stakeholders aimed at fostering properly tailored conduct that enhances students' academic success in higher education.Los estudiantes pueden encontrar desafíos significativos cuando hacen la transición de la escuela secundaria a la universidad. Los estudiantes deben poseer las habilidades necesarias para adaptarse a la atmósfera de aprendizaje autodirigido de la universidad, sin embargo, a menudo carecen de la capacidad de asumir la responsabilidad de su propio aprendizaje. Este estudio emplea técnicas de modelado de rutas para investigar y analizar las relaciones multifacéticas entre varios factores, que pueden predecir el aprendizaje autorregulado a medida que afectan los logros académicos de los estudiantes Bibliografía existente. La población para este estudio fueron estudiantes universitarios de pregrado que utilizaron un cuestionario diseñado por investigadores para la recolección de datos. Los datos recogidos se modelaron reflexivamente mediante el modelo de ecuaciones estructurales de mínimos cuadrados parciales (PLS-SEM). Los resultados muestran que la evaluación del modelo de medida mostró una fuerte confiabilidad y validez convergente de los constructos latentes. Sin embargo, solo la tecnología predijo significativamente que el aprendizaje autorregulado contribuiría al éxito académico de los estudiantes en la educación superior. Los hallazgos de este estudio contribuyen significativamente a la comprensión de las vías matizadas a través de las cuales interactúan varios indicadores de aprendizaje para predecir la autorregulación de los estudiantes como influencia en el rendimiento académico de los estudiantes en el espacio de la educación superior. Los conocimientos obtenidos del análisis ofrecen valiosas implicaciones para las partes interesadas pertinentes con el fin de fomentar una conducta adecuadamente adaptada que mejore el éxito académico de los estudiantes en la educación superior
Modelización de los factores que predicen el aprendizaje autorregulado: Estudio de caso de una universidad pública de Nigeria: Case Study of a Public University in Nigeria
No full textStudents can encounter significant challenges when transitioning from high school to university. Students must possess the necessary skills to adjust to the self-directed learning atmosphere of the university, however frequently lack the ability to take responsibility for their own learning. This study employs path-modeling techniques to investigate and analyze the multifaceted relationships between various factors, that can predict self-regulated learning as they impact learners' academic achievements in higher education settings, as informed by an extensive review of existing literature. The population for this study were university undergraduates using a researcher-designed questionnaire for data collection. The data collected was modelled reflectively using partial least squares structural equation modelling (PLS-SEM). Results show that the measurement model assessment showed strong reliability and convergent validity of the latent constructs. However, only technology significantly predicted self-regulated learning as contributing to students' academic success in higher education. The findings from this study contribute significantly to understanding the nuanced pathways through which various learning indicators interact to predict students' self-regulation as influencing students' academic performance in the higher education space. Insights gained from the analysis offer valuable implications for relevant stakeholders aimed at fostering properly tailored conduct that enhances students' academic success in higher education.Los estudiantes pueden encontrar desafíos significativos cuando hacen la transición de la escuela secundaria a la universidad. Los estudiantes deben poseer las habilidades necesarias para adaptarse a la atmósfera de aprendizaje autodirigido de la universidad, sin embargo, a menudo carecen de la capacidad de asumir la responsabilidad de su propio aprendizaje. Este estudio emplea técnicas de modelado de rutas para investigar y analizar las relaciones multifacéticas entre varios factores, que pueden predecir el aprendizaje autorregulado a medida que afectan los logros académicos de los estudiantes Bibliografía existente. La población para este estudio fueron estudiantes universitarios de pregrado que utilizaron un cuestionario diseñado por investigadores para la recolección de datos. Los datos recogidos se modelaron reflexivamente mediante el modelo de ecuaciones estructurales de mínimos cuadrados parciales (PLS-SEM). Los resultados muestran que la evaluación del modelo de medida mostró una fuerte confiabilidad y validez convergente de los constructos latentes. Sin embargo, solo la tecnología predijo significativamente que el aprendizaje autorregulado contribuiría al éxito académico de los estudiantes en la educación superior. Los hallazgos de este estudio contribuyen significativamente a la comprensión de las vías matizadas a través de las cuales interactúan varios indicadores de aprendizaje para predecir la autorregulación de los estudiantes como influencia en el rendimiento académico de los estudiantes en el espacio de la educación superior. Los conocimientos obtenidos del análisis ofrecen valiosas implicaciones para las partes interesadas pertinentes con el fin de fomentar una conducta adecuadamente adaptada que mejore el éxito académico de los estudiantes en la educación superior
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
Full text link“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
Full text linkWe 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
Full text linkWe 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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