1,720,962 research outputs found
Team Data Analysis Using FATE: Framework for Automated Team Evaluation
Get PDFIn this paper we introduce a conceptual framework for the design of automated team evaluation processes (FATE), inspired by lessons learned from multiple intelligent team tutoring experiences. The framework consists of five phases. The first, Team Construct, defines the theoretical basis of the evaluation and therefore the end goal of the evaluation process. The second, Behavioral Markers, defines a method for identifying the otherwise unobservable constructs. The third, Raw Data, defines the data to be captured and recorded. The fourth, Enriched State Representation, defines a method for making the data directly relevant for team evaluation. The fifth, Team Metric, is the end goal of the evaluation defined by team constructs and derived from the enriched state representation. The framework is organized in a “V” shape to act both as a hierarchical model relating teaming theory to scenario-specific data and as a sequential process flow diagram representing the steps recommended to design an ideal team evaluation process. Each phase of the framework is described in detail, and its use is demonstrated with a hypothetical emergency response training scenario.This proceeding is published as Ostrander, Alec, Stephen Gilbert, and Michael Dorneich. "Team Data Analysis Using FATE: Framework for Automated Team Evaluation." In Workshop Proceedings: Approaches and Challenges in Team Tutoring. Proceedings of the Approaches and Challenges in Team Tutoring Workshop held in conjunction with the 20th Artificial Intelligence in Education Conference (AIED 2019). Chicago, IL, USA, June 29, 2019. (Anne M. Sinatra and Jeanine A. DeFalco, eds.) (2019): 5-14. Posted with permission.</p
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
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
Evaluation of an Intelligent Team Tutoring System for a Collaborative Two-Person Problem: Surveillance
Get PDFThis paper describes the development and evaluation of an Intelligent Team Tutoring System (ITTS) for pairs of learners working collaboratively to monitor an area. In the Surveillance Team Tutor (STT), learners performed a surveillance task in a virtual environment, communicating to track hostile moving soldiers. This collaborative problem solving task required significant communication to achieve the common goal of perfect surveillance. In a pilot evaluation, 16 two-person teams performed the task within one of three feedback conditions (Individual, Team, or None) across four trials each. The STT used a unique approach to filtering feedback so that teams in both individual and team conditions received a similar amount of feedback. In one performance measure, Team condition participants made fewer errors in one task than those in other conditions, though at a potential cost of mental workload. Feedback condition also significantly affected participants' subjective rating of both their own performance and their teammate’s. This ITTS is one of the first automated team tutoring systems that provided real-time feedback during task execution. Recommendations are offered for the design of the optimal team task for future ITTSs that offer tutoring for small teams performing collaborative problem solving.This article is published as Ostrander, Alec, Desmond Bonner, Jamiahus Walton, Anna Slavina, Kaitlyn Ouverson, Adam Kohl, Stephen Gilbert, Michael Dorneich, Anne Sinatra, and Eliot Winer. "Evaluation of an Intelligent Team Tutoring System for a Collaborative Two-Person Problem: Surveillance." Computers in Human Behavior 104 (2020): 105873. DOI: 10.1016/j.chb.2019.01.006.
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Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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