1,721,024 research outputs found
Ethics for Human-Centered Education in the Age of AI
No full textThe chapter focuses on the role of artificial intelligence (AI) systems, including Large Language Models (LLMs), as tools to foster inclusive and innovative education. Through a comprehensive analysis of both ethical frameworks in AI in Education (AIED) and recent institutional and intergovernmental guidelines for a responsible and ethical utilization of AI in the realm of teaching and learning, the chapter identifies opportunities and challenges related to the deployment of AI in education and highlights the importance of a human-centered approach, where technology and humanity intersect
Humanism and innovation in the global world: challenges for universities and the transformation of the labour market
No full textNowadays, the challenges (and opportunities) brought by digitalization are
creating new research and innovation paradigms, showing the extent to
which interconnections between science, technology, engineering and mathematics
(STEM) and social sciences and humanities (SSH) disciplines are
crucial to develop sustainable human-centred solutions (Schildermans, 2022).
Digitalization is becoming a subject of interest across heterogeneous, but complementary
fields of knowledge.
Humanism, as a philosophical and ethical standpoint, has been instrumental
in shaping the understanding of the value of human beings and their potential.
It emphasizes the importance of individual autonomy, critical thinking, and
the pursuit of knowledge. Indeed, in the context of a complex and highly
interconnected world, humanism continues to serve as a compass, guiding the
implementation of information and communication technologies (ICT) and
artificial intelligence (AI) advancements
Entrepreneurial education, social sciences and humanities: the case of LUCI – Laboratory for Humanism, Creativity and Innovation
No full textGoing 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
Adaptive Weight Selection for Optimal Consensus Performance
No full textWe address the problem of allocating weights to edges in a given undirected network topology, subject to constraints limiting the weighted degree of nodes, so as to maximise the algebraic connectivity of the network. The problem is convex and can be solved efficiently through techniques in semi-definite programming. We present a novel, adaptive method that can be implemented on-line to solve this problem. The presented strategy asymptotically converges to the optimalsolution for any feasible initial condition, and its continuous and smooth nature lends itself to Lyapunov stability analysis. We study the case where perfect global knowledge of the algebraic connectivity and its sensitivities is available to all nodes. Also we show, as a proof-of-concept, that the scheme can be extendedto so as to be implemented in a completely distributed manner. The theoretical derivations are illustrated via representative numerical examples
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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