1,720,979 research outputs found
Comparing attrition prediction in FutureLearn and edX MOOCs
No full textThere are a number of similarities and differences between FutureLearn MOOCs and those offered by other platforms, such as edX. In this research we compare the results of applying machine learning algorithms to predict course attrition for two case studies using datasets from a selected FutureLearn MOOC and an edX MOOC of comparable structure and themes. For each we have computed a number of attributes in a pre-processing stage from the raw data available in each course. Following this, we applied several machine learning algorithms on the pre-processed data to predict attrition levels for each course. The analysis suggests that the attribute selection varies in each scenario, which also impacts on the behaviour of the predicting algorithms
MOOCs and their influence on higher education institutions: Perspectives from the insiders
No full textSince Massive Open Online Courses (MOOCs) became a global phenomenon in 2012, there has been constant evolution in the way Higher Education Institutions (HEIs) make sense of them. HEIs embracing MOOCs have dedicated a variety of human resource to this venture. Only in a minority of cases, staff have been appointed exclusively to this role. In all other cases, MOOC related tasks have been allocated to professionals who were already performing other educational tasks. This article contains a study that captures the experiences of these professionals in a Spanish university and a British university, as relates to their involvement in MOOCs. Interviews and group sessions were conducted to ascertain the influence of MOOCs in their practice, and in their opinions about the role of MOOCs in their institutions. The results seem to suggest that participants have positive attitudes towards incorporating MOOCs at the university, although they demand a serious bet for this educational approach from the strategic decision makers in the institutions.</p
Predicting attrition from massive open online courses in FutureLearn and edX
No full textThere are a number of similarities and differences between Future-Learn MOOCs and those offered by other platforms, such as edX. In this research we compare the results of applying machine learning algorithms to predict course attrition for two case studies using datasets from a selected Future-Learn MOOC and an edX MOOC of comparable structure and themes. For each we have computed a number of attributes in a pre-processing stage from the raw data available in each course. Following this, we applied several machine learning algorithms on the pre-processed data to predict attrition levels for each course. The analysis suggests that the attribute selection varies in each scenario, which also impacts on the behaviour of the predicting algorithms
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
Visualising the MOOC experience: a dynamic MOOC dashboard built through institutional collaboration
No full textThe Growth of MOOCs is matched by interest into the potential for learninganalytics to provide an objective frame to motivate learners and reveal broaderinsights into learners’ behaviours. Visualising live MOOCs data creates thepotential to provide a manageable and understandable interface to data to helporchestrate learning and inform subsequent stakeholder decisions. This paperpresents outcomes of collaborative work between two European universitiesinvestigating FutureLearn platform datasets. the paper used two examples of thedashboard functionality to explains the rationale for the analytical investigationswhich were performed. One strength of this approach is that it can presentanalytical data to different institutional stakeholders such as learning designers,educators, facilitators, and administrators
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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