1,720,964 research outputs found
Data associated with the publication: Does chatting with chatbots improve language learning performance? A meta-analysis of chatbot-assisted language learning
Given the importance of conversation practice in language learning, chatbots, especially ChatGPT, have attracted considerable attention for their ability to converse with learners using natural language. This review contributes to the literature by examining the currently unclear overall effect of using chatbots on language learning performance and comprehensively identifying important study characteristics that affect the overall effectiveness. We meta-analyzed 70 effect sizes from 28 studies, using robust variance estimation. The effects were assessed based on 18 study characteristics about learners, chatbots, learning objectives, context, communication/interaction, and methodological and pedagogical designs. Results indicated that using chatbots produced a positive overall effect on language learning performance (g = 0.486), compared to non-chatbot conditions. Moreover, four characteristics (i.e., educational level, language level, interface design, and interaction capability) affected the overall effectiveness. In an in-depth discussion on how the 18 characteristics are related to the effectiveness, future implications for practice and research are presented
Data associated with the publication: Success for All: A Quantitative Synthesis of U. S. Evaluations
Success for All (SFA) is a comprehensive whole-school approach designed to help high-poverty elementary schools increase the reading success of their students. It is designed to ensure success in grades K-2 and then build on this success in later grades. SFA combines instruction emphasizing phonics and cooperative learning, one-to-small group tutoring for students who need it in the primary grades, frequent assessment and regrouping, parent involvement, distributed leadership, and extensive training and coaching. Over a 33-year period, SFA has been extensively evaluated, mostly by researchers unconnected to the program. This quantitative synthesis reviews the findings of these evaluations. Seventeen U.S. studies meeting rigorous inclusion standards had a mean effect size of +0.24 (p < .05) on independent measures. Effects were largest for low achievers (ES = +0.54, p < .01). Although outcomes vary across studies, mean impacts support the effectiveness of Success for All for the reading success of disadvantaged students
Data and code associated with the publication: A best-evidence synthesis and meta-analysis on effective reading programs in Spanish
This systematic review and meta-analysis examined the effectiveness of Spanish reading programs in grades K-6. The research designs included were experimental and quasi-experimental. Effect sizes were analyzed using a multivariate meta-regression model with robust variance estimation (Hedges et al., 2010). To assess the degree of heterogeneity in the effect sizes, a 95% prediction interval was calculated (Borenstein et al., 2017). A total of 11 studies and 51 effect sizes met the inclusion criteria. The full meta-regression model controlling for grade level and outcome type showed a large positive effect across all studies (effect size = 0.49, p < 0.05), with a large, positive effect on reading outcomes, and significant impacts on phonological awareness, phonics, fluency, and reading comprehension in K-2. Results suggest that effective instructional programs for K-6 Spanish reading exist. However, there is a need for more rigorous research on reading instructional programs for Spanish-speaking children
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
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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