1,720,990 research outputs found

    Dimensions of graduates’ job satisfaction in the short and medium terms

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    Time-related job satisfaction is receiving growing attention in the literature. In this contribution, we analyse the changes occurring in graduates’ job satisfaction and in its main dimensions at various survey occasions after graduation. We will focus, too, on the theory of job satisfaction measurement. The analysed data come from a survey of graduates at the University of Padua, interviewed with a CATI procedure six months, one year and three years after graduation. After verifying that the main dimensions are the same over time, we investigate the determinants of the changes occurring in graduate job satisfaction, finding a broad stability and some sources of variation mainly related to salary and study-job consistency variations. Graduates who move to a different job usually increase their satisfaction, at least for the most predictable aspects. Satisfaction levels also show a “toward-the-mean” effect

    On using video lectures data usage to predict university students dropout

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    Technologies have changed many different aspects of people's life and the recent CoVid-19 pandemic proved that education is not an exception. But technologies in education go beyond the simple use of video lectures: technologies might be exploited to improve personal learning. In this paper, we focus on the dropout of studies, a global phenomenon that artificial intelligence techniques are trying to ameliorate. Here, we investigate whether data related to the consumption of video lectures might improve the students' dropout prediction. We consider first-year students enrolled in our Department and we characterize them with personal, scholastic, academic and technological features. Then, we measure the performance of three machine learning algorithms in terms of accuracy and sensitivity. The experimental evaluation shows that Random Forest and KNN perform better that Decision Tree and also shows that data related to the use of video lectures improves the prediction performance for some degree programs (reaching 73% in terms of accuracy and sensitivity). These preliminary results show that the approach is promising and worth exploring in future studies

    Professionalità nei servizi innovativi per studenti universitari

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    Nel volume sono descritte alcune indagini svolte presso servizi considerati innovativi (orientamento al lavoro, informazione e sostegno allo studio, stage e placement, mobilità internazionale) nelle università italiane. Le ricerche mirano ad individuare le professionalità da costruire per rendere i servizi innovativi e orientati allo studente

    Le categorie di famiglie a rischio di povertà

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    Nell'articolo si presentano alcuni studi su insiemi campionari di famiglie venete per determinare i gruppi di famiglie che sono prticolarmente a rischio di disagio. Si applicano per questo metodi di analisi multivariata capaci di cogliere la multidimensionalità del disagio. Tra le forme di disagio, quello economica è prevalente, ma sono rilevanti per le famiglie anche quello sanitario e quello relazionale

    Dimensions of Extreme Poverty: Results from a Survey on Homeless in the Veneto Region

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    The dimensions of extreme poverty are highlighted by analysing the responses of people in the streets. The data have been collected in the Veneto region directly from the homeless to detect the possibility for them to emerge from this undesirable condition

    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

    Input and response determinants of visual extinction: a case study

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    We have studied a patient, CZ, with contralateral visual extinction due to a large ischaemic frontal-parietal-temporal lesion in the right hemisphere. We found that manipulation of intensity of the visual stimulus had little effect while an increase in eccentricity substantially increased extinction rate. An important factor was represented by the hemifield of stimulus presentation: when double stimuli were presented to the contralesional (left) hemifield, the leftmost stimulus was consistently extinguished while when stimuli were presented to the ipsilesional (right) hemifield, extinction was absent. Such effect was specific to hemifield rather than to head- and trunk-defined hemispace. Manipulation of response-related variables affected extinction to a large extent: In particular, the use of nonverbal responses diminished extinction considerably. This suggests that an important component of extinction may be represented by an impaired access of visual information to the left hemisphere. Finally, the RT results confirmed previous evidence of an ipsilesional attentional bias favouring the rightmost stimuli both in the contralesional and in the ipsilesional hemifield
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