1,721,088 research outputs found
How to Open Science: A Reproducibility Author Survey of the Artificial Intelligence in Education Conference
No full textA peer review with author input analyzing the open science principles and reproducibility of full papers, short papers, and posters sent to the 22nd and 23rd Artificial Intelligence in Education conference
How To Open Science: A Principle Author Survey and Reproducibility Development of the Educational Data Mining Conference
No full textA peer review with author input analyzing the open science principles and developing reproducibility metrics of full papers, short papers, and posters sent to the 14th and 15th Educational Data Mining conference
How To Open Science: A Principle and Reproducibility Author Survey of the Artificial Intelligence in Education Conference
No full textA peer review with author input analyzing the open science principles and reproducibility of full papers, short papers, and posters sent to the 22nd and 23rd Artificial Intelligence in Education conference
How To Open Science: A Principle Author Survey, Reproducibility Development, and Statement Compliance Analysis of the Learning @ Scale Conference
No full textA peer review with author input analyzing the open science principles, developing reproducibility metrics, and reviewing the open science statement compliance of full papers, short papers, and posters sent to the 8th and 9th Learning @ Scale conference
How to Open Science: A Reproducibility Author Survey of the Artificial Intelligence in Education Conference
No full textOpen science practices and robust reproducibility tend to have little to no adoption in subfields of education technology. Although previous research has attempted to document the rate of open science adoption, an important question is why some researchers adopt and others do not. The purpose of the current study was to replicate previous work on open science adoption and survey authors asking about their adoptions and reproducibility in previous papers within the proceedings of the International Conference on Artificial Intelligence in Education. Specifically, we examined 293 papers and asked the corresponding authors to provide information on what open science practices they adopted, why they did or did not adopt these practices, and provide information on how to accurately reproduce their papers. Our results showed 7% of papers were potentially reproducible through source analysis. Out of the 6% of papers that responded to our survey, 58% reported that they could release a dataset or the source, compared to the 29% without author intervention. In addition, most of the authors did not use preregistrations or preprints because they reportedly did not know they existed or believed it was unnecessary
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
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