1,721,007 research outputs found
Application of Technology in the Digital Era Education
The fact that technology plays a much larger role in the digital era than it did for previous generations has made today’s generation having a high level of technological literacy. The increase in this literacy coupled with recent technological advances has led to the expansion of technology in education. From the millennial to Gen-Z, these are the generations that are coming into the classroom today and they share unique characteristics that define their generations. These generations expect to be engaged in their learning and they do not do well being passive learners. Hence, technology has to be embraced in today’s education and teachers have to apply technology as part of the students learning. This paper reviews the generations of learners that teachers are having today and how these generations impacted the transformation of education in the digital era. This paper also presents some of the emerging technologies and discusses the needs of pedagogical transformation to invent new forms of teaching and learning as well as the importance of redesigning and rethinking education in the digital era
Going Beyond Counting First Authors in Author Co-citation Analysis
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
“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
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
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
Reliable or Not: A Correlational Study of Automated Scoring and Analytic CAF Indices in A Computer-Based Monological English Speaking Test
The rise of computer-based testing has transformed language assessment, with computer-based English speaking tests (CBESTs) offering scalable and efficient evaluations. However, the extent to which automated scoring aligns with analytic measures, such as complexity, accuracy, and fluency (CAF) indices, remains unclear. This study examines the relationship between automated CBEST scores and CAF indices in 418 Chinese junior high school students’ spoken responses. Findings revealed strong correlations between automated accuracy and fluency scores and their respective analytic indices, demonstrating the system’s ability to assess grammatical precision and temporal fluency. However, automated complexity scores correlated only moderately with mean length of clauses, with no significant links to lexical diversity. Cross-dimensional correlations suggested potential overlap in scoring constructs. These results highlight CBESTs’ strengths and limitations in assessing oral proficiency, emphasizing the need to refine scoring algorithms to improve validity and comprehensiveness in automated language assessments
What Shapes Automated Ratings in Computer-Based English Speaking Tests? Perspectives from Analytic Complexity, Accuracy, Fluency, and Pronunciation Indices
The computer-based English speaking test (CBEST) represents a significant advancement in assessing oral proficiency through automated scoring. However, its scoring validity and alignment with well-established linguistic proficiency measures remain underexplored. This study examines the relationship between automated ratings (ARs) and analytic complexity, accuracy, fluency, and pronunciation (CAFP) indices in the context of Zhongkao, namely China’s Senior High School Entrance Examination. Using a quantitative approach, we analyzed correlations between ARs and 12 CAFP indices from a random sample of 382 mock CBEST recordings from an officially recognized platform. Findings revealed strong correlations between ARs and speaking accuracy, fluency, and intelligibility, with fluency and intelligibility significantly predicting ARs. However, no correlations were found with complexity, comprehensibility, or accentedness. Further analysis within CAFP primarily demonstrated correlations between syntactic and lexical complexity with accuracy, accuracy with fluency (the number of repairs and speech rate) and intelligibility, and fluency (speech rate) with intelligibility. However, certain indices such as comprehensibility and accentedness showed no correlation with others. These findings suggest that CBEST prioritizes certain aspects of speaking proficiency, potentially overlooking others. Implications highlight the need for teachers and test designers to align instruction with test expectations while refining CBEST scoring mechanisms to enhance validity and comprehensiveness.Le test informatisé d’expression orale en anglais (TIEOA) représente une avancée majeure dans l’évaluation de la compétence orale grâce à la notation automatisée. Cependant, la validité de cette notation et son alignement avec des mesures linguistiques bien établies restent peu explorés. Cette étude examine la relation entre les scores automatisés (SAs) et les indices analytiques de complexité, d’exactitude, de fluidité et de prononciation (CEFP) dans le contexte du Zhongkao, l’examen d’entrée au lycée en Chine. En adoptant une approche quantitative, nous avons analysé les corrélations entre les SAs et 12 indices CEFP à partir d’un échantillon aléatoire de 382 enregistrements simulés du TIEOA sur une plateforme officiellement reconnue. Les résultats ont révélé de fortes corrélations entre les SAs et l’exactitude, la fluidité et l’intelligibilité, ces deux dernières prédisant significativement les SAs. Cependant, aucune corrélation n’a été trouvée avec la complexité, la compréhensibilité ou l’accentuation. Une analyse approfondie des CEFP a montré des corrélations entre la complexité syntaxique et lexicale avec l’exactitude, l’exactitude avec la fluidité (nombre de réparations et débit de parole) et l’intelligibilité, ainsi que la fluidité (débit de parole) avec l’intelligibilité. Toutefois, certains indices, comme la compréhensibilité et l’accentuation, n’ont montré aucune corrélation avec les autres. Ces résultats suggèrent que le TIEOA privilégie certains aspects de la compétence orale au détriment d’autres. Les implications soulignent la nécessité, pour les enseignants et les concepteurs de tests, d’aligner l’enseignement sur les attentes de l’examen tout en affinant les mécanismes de notation du TIEOA afin d’en améliorer la validité et la portée
koamabayili/VECTRON-author-checklist: VECTRON author checklist
We 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
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