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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
APERFEIÇOANDO AS HABILIDADES DE RESOLUÇÃO DE PROBLEMAS E PROGRAMAÇÃO EM CRIANÇAS POR MEIO DA APRENDIZAGEM BASEADA EM PROJETOS
Get PDFThis research aims to explore the effectiveness of adaptive learning systems in dynamically modifying content to align with the abilities and knowledge levels of individual learners. By employing data analytics and machine learning algorithms, the study examines how content difficulty adjustment, pacing, content selection, and adaptive feedback contribute to a personalized learning experience. This study embarked on an exploration of the efficacy and implications of adaptive learning systems across diverse educational settings: K-12 classrooms, higher educational institutions, and corporate training environments. Through a multi-modal approach, incorporating both quantitative and qualitative analyses, the study evaluated the potential benefits and transformative impact of these personalized learning tools. Quantitatively, results indicated marked improvements post-intervention: notably, a rise in completion rates, significant enhancement in test scores, and increased engagement durations. Machine learning analyses further revealed patterns among learners, signifying segments that benefited immensely from the intervention. Qualitative feedback, obtained through semi-structured interviews, painted a compelling narrative of learner experiences. Common themes emphasized the system\u27s adeptness at adjusting difficulty, facilitating personalized pacing, and providing nuanced, constructive feedback. Adaptive learning systems emerge as a potent tool in modern educational strategies, blending technology and pedagogy to deliver a tailored, responsive learning experience. However, while the immediate implications are promising, the broader applicability and long-term outcomes warrant further research. This study serves as a foundational exploration, signaling the transformative potential of adaptive learning in reshaping educational landscapes.Esta pesquisa tem como objetivo explorar a eficácia dos sistemas de aprendizagem adaptativa na modificação dinâmica do conteúdo para se alinhar com as habilidades e níveis de conhecimento de aprendizes individuais. Por meio da emprego de analítica de dados e algoritmos de aprendizagem de máquina, o estudo examina como o ajuste de dificuldade do conteúdo, o ritmo, a seleção de conteúdo e o feedback adaptativo contribuem para uma experiência de aprendizagem personalizada. Este estudo embarcou em uma exploração da eficácia e implicações dos sistemas de aprendizagem adaptativa em diversos ambientes educacionais: salas de aula do ensino fundamental e médio, instituições de ensino superior e ambientes de treinamento corporativo. Por meio de uma abordagem multi-modal, incorporando análises quantitativas e qualitativas, o estudo avaliou os benefícios potenciais e o impacto transformativo destas ferramentas de aprendizagem personalizadas. Quantitativamente, os resultados indicaram melhorias marcadas pós-intervenção: notadamente, um aumento nas taxas de conclusão, um aumento significativo nas notas de avaliação e um aumento na duração do envolvimento. As análises de aprendizagem de máquina revelaram ainda padrões entre os aprendizes, sinalizando segmentos que se beneficiaram imensamente da intervenção. O feedback qualitativo, obtido por meio de entrevistas semi-estruturadas, pintou uma narrativa envolvente das experiências dos aprendizes. Temas comuns destacaram a aptidão do sistema em ajustar a dificuldade, facilitar o ritmo personalizado e fornecer feedback nuançado e construtivo. Os sistemas de aprendizagem adaptativa emergem como uma ferramenta potente nas estratégias educacionais modernas, combinando tecnologia e pedagogia para oferecer uma experiência de aprendizagem sob medida e responsiva. No entanto, embora as implicações imediatas sejam promissoras, a aplicabilidade mais ampla e os resultados a longo prazo exigem mais pesquisas. Este estudo serve como uma exploração fundamental, sinalizando o potencial transformativo da aprendizagem adaptativa na reconfiguração do cenário educaciona
APRENDIZAGEM PERSONALIZADA ATRAVÉS DA MODIFICAÇÃO ADAPTATIVA DE CONTEÚDO: EXPLORANDO O IMPACTO DO AJUSTE DE DIFICULDADE DE CONTEÚDO NO DESEMPENHO DO APRENDIZ
Get PDFThis research aims to explore the effectiveness of adaptive learning systems in dynamically modifying content to align with the abilities and knowledge levels of individual learners. By employing data analytics and machine learning algorithms, the study examines how content difficulty adjustment, pacing, content selection, and adaptive feedback contribute to a personalized learning experience. This study embarked on an exploration of the efficacy and implications of adaptive learning systems across diverse educational settings: K-12 classrooms, higher educational institutions, and corporate training environments. Through a multi-modal approach, incorporating both quantitative and qualitative analyses, the study evaluated the potential benefits and transformative impact of these personalized learning tools. Quantitatively, results indicated marked improvements post-intervention: notably, a rise in completion rates, significant enhancement in test scores, and increased engagement durations. Machine learning analyses further revealed patterns among learners, signifying segments that benefited immensely from the intervention. Qualitative feedback, obtained through semi-structured interviews, painted a compelling narrative of learner experiences. Common themes emphasized the system\u27s adeptness at adjusting difficulty, facilitating personalized pacing, and providing nuanced, constructive feedback. Adaptive learning systems emerge as a potent tool in modern educational strategies, blending technology and pedagogy to deliver a tailored, responsive learning experience. However, while the immediate implications are promising, the broader applicability and long-term outcomes warrant further research. This study serves as a foundational exploration, signaling the transformative potential of adaptive learning in reshaping educational landscapes.Esta pesquisa tem o objetivo de explorar a eficácia dos sistemas de aprendizagem adaptativa na modificação dinâmica do conteúdo para se alinhar com as habilidades e níveis de conhecimento de aprendizes individuais. Por meio da utilização de analítica de dados e algoritmos de aprendizado de máquina, o estudo examina como o ajuste de dificuldade de conteúdo, ritmo, seleção de conteúdo e feedback adaptativo contribuem para uma experiência de aprendizagem personalizada. Este estudo embarcou em uma exploração da eficácia e implicações de sistemas de aprendizagem adaptativa em diversos ambientes educacionais: salas de aula do ensino fundamental e médio, instituições de ensino superior e ambientes de treinamento corporativo. Através de uma abordagem multi-modal, incorporando análises quantitativas e qualitativas, o estudo avaliou os potenciais benefícios e o impacto transformador dessas ferramentas de aprendizagem personalizada. Do ponto de vista quantitativo, os resultados indicaram melhorias marcantes pós-intervenção: notavelmente, um aumento nas taxas de conclusão, um aumento significativo nas notas das avaliações e uma duração maior de envolvimento. As análises de aprendizado de máquina revelaram padrões entre os aprendizes, sinalizando segmentos que se beneficiaram imensamente da intervenção. O feedback qualitativo, obtido por meio de entrevistas semi-estruturadas, apresentou uma narrativa convincente das experiências dos aprendizes. Temas comuns destacaram a aptidão do sistema em ajustar a dificuldade, facilitar o ritmo personalizado e fornecer feedback nuançado e construtivo. Os sistemas de aprendizagem adaptativa surgem como uma ferramenta potente nas estratégias educacionais modernas, unindo tecnologia e pedagogia para entregar uma experiência de aprendizagem sob medida e responsiva. No entanto, embora as implicações imediatas sejam promissoras, a aplicabilidade mais ampla e os resultados a longo prazo exigem mais pesquisa. Este estudo serve como uma exploração fundamental, indicando o potencial transformador da aprendizagem adaptativa na reformulação das paisagens educacionais
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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