1,720,960 research outputs found
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
Self-regulation in Foreign Language Students’ Collaborative Discourse for Academic Writing:An Explorative Study on Epistemic Network Analysis
No full textComputer-supported collaborative learning (CSCL) settings for academic writing have become a staple in foreign language classrooms in higher education. These settings allow learners to discuss their output, assist others and dialogically assess their learning progress. To successfully do so, however, learners need to be able to effectively self-regulate their learning process. The multiple contingencies of self-regulated learning (SRL) in online collaborative writing settings have hitherto received limited attention in research. Recent advances in learning analytics and quantitative ethnography, nevertheless, offer new opportunities to analyse learner discourse and reveal previously underexplored aspects of SRL. Through the use of epistemic network analysis (ENA), this study examines structural patterns in students’ use of SRL strategies and meta-strategies, and models their co-occurrence. Data were collected from a Facebook group integrated into an academic writing course for first-year foreign language majors of English (N = 123). The results illustrate how students engage in cognitive and meta-cognitive discourse, and show that other strategies and meta-strategies in the network mainly occur in isolation. The use of ENA, in addition, reveals the different contingencies in the SRL process over time. This study contributes to the fields of quantitative ethnography, learning analytics and SRL by: 1. Showing how ENA can add to our understanding of the SRL process, and 2. by discussing which self-regulatory strategies and meta-strategies are predominantly used in CSCL settings for academic writing, which ones deserve additional attention when integrating CSCL settings in this context, and what educational interventions can be designed as support.</p
Parsing the Continuum:Manual Segmentation of Monologic Data
No full textSegmentation is a crucial step in analyses of qualitative data where code or code co-occurrence frequencies are of interest. Decisions about how best to segment are inextricably connected to coding decisions, as well as wider analytical goals and research questions. These decisions directly affect resulting models and the interpretations derived from them. However, while there is a wealth of frameworks guiding code development and application, far fewer guidelines exist for segmentation. This paper reports on the development of an initial set of heuristics for the segmentation of monologic data. Using the framework of Epistemic Network Analysis, we demonstrate various approaches to segmentation and show how these segmentation decisions affect models and subsequent interpretations. We argue that segmentation should be aligned with research questions and developed in conjunction with coding, and we offer considerations and techniques for doing so
Computational thinking in educational policy – the relationship between goals and practices
No full textIn this paper, we study the relationship between the content and goals of curricu-lum revisions toward the integration of computational thinking (CT) in compulso-ry schools in Denmark, Sweden, and England. Our analyses build on data con-sisting of a combination of official documents such as new curricula, white pa-pers, and implementation strategies and interviews of experts who are either high-ly knowledgeable about or were involved in developing the curriculum revisions in these three countries. Our study found that there are strong connections be-tween the CT content data practices and goal competitiveness in England. In Sweden, we found that the relationship between data practices and the goal of competitiveness is strongest. In Denmark, we found that the CT content codes re-lated to data practices, modeling and simulation practices, and computational problem solving practices were all strongly represented, but all were weakly re-lated to policy goals.In this paper, we study the relationship between the content and goals of curriculum revisions toward the integration of computational thinking (CT) in compulsory schools in Denmark, Sweden, and England. Our analyses build on data consisting of a combination of official documents such as new curricula, white papers, and implementation strategies and interviews of experts who are either highly knowledgeable about or were involved in developing the curriculum revisions in these three countries. Our study found that there are strong connections between the CT content data practices and goal competitiveness in England. In Sweden, we found that the relationship between data practices and the goal of competitiveness is strongest. In Denmark, we found that the CT content codes related to data practices, modeling and simulation practices, and computational problem solving practices were all strongly represented, but all were weakly related to policy goals
Segmentation and Code Co-occurrence Accumulation:Operationalizing Relational Context with Stanza Windows
No full textDepending on analytical goals and techniques, qualitative data may be coded and segmented to investigate code or code co-occurrence frequencies. As codes are relevant aspects of data vis-à-vis the topic of inquiry, segments are meaningful divisions of those data. To explore various modes of segmentation, their underlying assumptions, and effects on potential models, the framework and terminology of Epistemic Network Analysis was employed as an analytical tool where coding and segmentation both contribute to data visualization. Three operationalizations of segmentation are elaborated: moving, infinite, and whole conversation stanza windows and demonstrated through instances where each of these may be applicable to data
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
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