1,720,959 research outputs found

    Entre accélération et décélération : l'expérience de la personne en télétravail dans un contexte de pandémie au Canada

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    Le télétravail a connu une progression à pas de géant au Québec, au Canada et ailleurs dans le monde en réponse à la pandémie COVID 19. Face au caractère plurivoque du télétravail, de nombreuses recherches ont été menées avant et durant la pandémie pour mieux appréhender ce concept dans ses différentes "sphères sociétales" (Albrio et Tremblay, 2022 : 1) et leurs articulations. Ce travail propose une revue historique du télétravail, énonce diverses terminologies du concept, identifie les différentes formes de ce dispositif numérique, ses dimensions ainsi que ses forces et faiblesses. A partir d’une démarche de revue partielle de la littérature, je ferai état des rapports (positifs et négatifs) qu'entretient le télétravailleur avec l'écran, la sphère du travail, les collectifs du travail, la sphère familiale, et la sphère sociale. Enfin, à la lumière de cette recension des écrits, je proposerai diverses perspectives de recherche

    Linear Operators in Information Retrieval

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    In this paper, we propose a pseudo-relevance feedback approach based on linear operators: vector space basis change and cross product. The aim of pseudo-relevance feedback methods based on vector space basis change IBM (Ideal Basis Method) is to optimally separate relevant and irrelevant documents. Whereas the aim of pseudo-relevance feedback method based on cross product AI (Absorption of irrelevance) is to effectively exploit irrelevant documents. We show how to combine IBM methods with AI methods. The combination methods IBM+AI are evaluated experimentally on two TREC collections (TREC-7 ad hoc and TREC-8 ad hoc). The experiments show that these methods improve previous works

    The examination of factors affecting e-learning effectiveness

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    International audienceTechnology information has increased dramatically in the last years and has contributed to the growth in technology delivered instruction as an important learning and education method. In this perspective, many academic researches considered the importance of e-learning effectiveness. Although the existing models of e-learning effectiveness has improved our understanding of how online training can support and enhance learning, most of published models do not take into account the importance of the relationship between social presence and interaction. Thus, this study develops preceding investigation by extending a model of e-learning effectiveness which adds social presence to other studied variables including computer self efficacy, perceived usefulness, perceived ease of use, interaction between trainer and trainees, and e-learning effectiveness. Moreover, the model includes the possible relationships between independent factors. In this case, the present research seek to identify the influence of computer self efficacy, ease of use, perceived usefulness, interaction, and social presence on e- learning effectiveness. Furthermore, this study considers the possible influences between individual characteristics, perceptual characteristics and environmental characteristics. Using data from 410 employees, the conceptual model was validated through a Tunisian context. Results indicate the importance of interaction, perceived usefulness, perceived ease of use, and social presence on e-learning achievement. E-learning achievement, in turn, influences e-learning transfer

    The examination of factors affecting e-learning effectiveness

    No full text
    International audienceTechnology information has increased dramatically in the last years and has contributed to the growth in technology delivered instruction as an important learning and education method. In this perspective, many academic researches considered the importance of e-learning effectiveness. Although the existing models of e-learning effectiveness has improved our understanding of how online training can support and enhance learning, most of published models do not take into account the importance of the relationship between social presence and interaction. Thus, this study develops preceding investigation by extending a model of e-learning effectiveness which adds social presence to other studied variables including computer self efficacy, perceived usefulness, perceived ease of use, interaction between trainer and trainees, and e-learning effectiveness. Moreover, the model includes the possible relationships between independent factors. In this case, the present research seek to identify the influence of computer self efficacy, ease of use, perceived usefulness, interaction, and social presence on e- learning effectiveness. Furthermore, this study considers the possible influences between individual characteristics, perceptual characteristics and environmental characteristics. Using data from 410 employees, the conceptual model was validated through a Tunisian context. Results indicate the importance of interaction, perceived usefulness, perceived ease of use, and social presence on e-learning achievement. E-learning achievement, in turn, influences e-learning transfer

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    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

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    “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

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    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

    Dispelling the Myths Behind First-author Citation Counts

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    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

    Author Index

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