1,721,087 research outputs found
Enhancing Authentic Assessment in Higher Education: leveraging Digital Transformation and Artificial Intelligence
The COVID-19 pandemic necessitated universities to adopt online assessments, incorporate hybrid teaching methods, and diversify their evaluation tools. This transformation centered on principles of authenticity, accessibility, and responsible data management. Technology, artificial intelligence (AI), and assessment analytics have played pivotal roles in reshaping assessment practices. Automatic grading tools like Knowledge Tracing have proven valuable for both in-person and online learning. Nonetheless, ongoing debates revolve around issues of data literacy and striking a balance between humanistic and technocratic educational approaches. This proposal delves into the realm of e- assessment tools, the evolution of assessment objectives, and the challenge of establishing trust in online assessment processes. Universities are actively working to enhance assessment methods, with a strong emphasis on authenticity and robust student support. They are also integrating e-assessment technology to ensure genuine and effective evaluations. The proposal's overarching objective is to contribute to the ongoing discourse surrounding the promotion of authentic and continuous assessment within higher education. It aims to explore the opportunities presented by digital transformation, online learning, and artificial intelligence in this educational context. Additionally, we provide an overview of a pilot study aimed at investigating the potential application of a multimodal computer vision system to enhance assessment methods in the university setting and create a supportive learning environment
Software Engineering and Formal Methods. {SEFM} 2021 Collocated Workshops - CIFMA, CoSim-CPS, OpenCERT, ASYDE, Virtual Event, December 6-10, 2021, Revised Selected Papers
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
A Protocol for Simulated Experimentation of Automated Grading Systems
Educational systems providing Automated Grading can be very useful for both learner and teacher. After their design and implementation, systems providing automated grading have to be tested and validated, which let the need for real world experiments arise. In this paper we describe an approach to “simulated experiments” that we hope can ease the task of the researchers developing the above mentioned systems. The concept of our proposal is in defining a simulated class by means of statistical distributions of the features that model the student and her/his work in the system. Since such features can be very different from a system to another, we try and keep the description of our framework as general as possible, and define a simulated class by the distribution of the grades that the learners should get (and the system should infer, if correctly working). We show the use of our approach with two systems, that do grading and model the students quite differently. We conclude that our simulation framework can be beneficial in validating an automated grading system, and in allowing to reflect on possible updates of the system, to make its grading more correct
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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