Developing Digital Competences. Work learn trajectories in Italian School System

The work based learning is the core European dispositions on educational and training issue and a pillar of the Europe 2020 strategy (EUCOM 2009/C119/02). Therefore, the educational system has to increase the quality of standards and learning results in order to response adequately to competence needs and to permit the successful entrance of the youth in the world of work. The SWA is a coherent reaction. Indeed, the current literature lead to reflect on the SWA as a new prospective of school and world of work relationship (Arlotti and Barberis 2015), and as a resolution for the skills mismatch (Caputo and Capecchi 2016; Froy, Giguere, Hofer, 2009; A. Green, Hasluck, Hogarth, Reynolds, 2003). In a context which needs a different school that provides different types of skills, it is desirable that a policy instrument such as the SWA – became mandatory by the reform “La Buona Scuola” (Law 107/2015) – is included in the scientific debate, especially for its potential to contribute to renewal of the school system. Many authors encourage the scientific debate regarding the question to clarify the peculiar characteristics of the SWA model in Italy and to begin effective reflection on its revolutionary impact for the school system. According to Tino and Fideli (2015), the SWA is a process, not only as an experience, a fundamental methodology to promote the knowledge of the world of work and the development of competences (professional and citizenship) thanks to the interconnection between formal-informal learning and creative combination process between theory and practice

Innovative Teaching and Digital Literacy in Preschool. App Content Analysis and Experimental Case Studies in a Sociological Perspective

The objective of this article is to illustrate, from the theoretical and methodological perspective, the construction of an experimental process of a “digital education app” in several preschools in the municipality of Rome. The general objective the project fits into is related to a sociological analysis, based on the relationship between theory and empirical research, of the effects of introducing digital media into preschool didactics. Preschools are a privileged site for observing and analyzing the formation and development of children’s capabilities (Nussbaum, 2000), since the plasticity of the child’s thought begins to be configured as early as preschool and evolves progressively taking into account the perceptive, sociocultural and behavioural conditions emerging from different educational agencies (Piaget, Inhelder, 1950). The article refers to the research project of the Mediamonitor Minori Observatory of the Sapienza University of Rome entitled “Media Usage in Pre-school. Analysis and Evaluation of the Influence of Digital Media on the Socialization of Children between 0-6”. The article retraces in particular the stages of the research strategy designed to structure a formative, experimental protocol to be experimented in some case studies in Rome and illustrates the main results

A fully digital model for Kalman filters

The Kalman filter is a mathematical method, whose purpose is to process noisy measurements in order to obtain an estimate of some relevant parameters of a system. It represents a valuable tool in the GNSS area, with some of its main applications related to the computation of the user PVT solution and to the integration of GNSS receivers with INS or other sensors. The Kalman filter is based on a state space representation, that describes the analyzed system as a set of differential equations that establishes the connections between the inputs, the outputs and the state variables of the analyzed system. In the continuous time domain there exists a large class of physical processes with a time evolution well described by means of stochastic differential equations. A typical problem is the need for an equivalent system in the discrete time, due to the discrete nature of the data to be processed. In the literature, it is quite common to solve this problem in the continuous time domain and to approximate the solution using a Taylor series approximation, to obtain an approximate discrete time version of the continuous time problem. By the way, other methods exist, based on the possibility to transform a continuous-time system to a discrete-time system by means of transformations from the Laplace complex plane to the z plane. These methods are widely used in the digital signal processing community, for example, to design digital filters from their analog counterparts. The main advantage of this approach is that it is very easily implemented by applying some mechanical rules. Moreover the nature of the approximation introduced by the Laplace-z transformation is a-priori known and clearly readable in the frequency domain. In the following the classical methods based on the Taylor approximation and on the Laplace-z transformations will be analyzed and compare

GNSS signal acquisition in the presence of sign transitions

The next generation of Global Navigation Satellite Systems (GNSS), such as Galileo [1] and GPS modernization [2], will use signals with equal code and bit periods, which will introduce a potential sign transition in each segment of the signal processed in the acquisition block. If FFT is used to perform the correlations a sign transition occurring within the integration time may cause a splitting of the main peak of the Cross Ambiguity Function (CAF) into two smaller lobes along the Doppler shift axis [3]. In this paper a method to overcome the possible impairments due to the lobe splitting is proposed and validated by simulatio

Audio Features Affected by Music Expressiveness

Within a Music Information Retrieval perspective, the goal of the study presented here is to investigate the impact on sound features of the musician's affective intention, namely when trying to intentionally convey emotional contents via expressiveness. A preliminary experiment has been performed involving $10$ tuba players. The recordings have been analysed by extracting a variety of features, which have been subsequently evaluated by combining both classic and machine learning statistical techniques. Results are reported and discussed.Comment: Submitted to ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2016), Pisa, Italy, July 17-21, 201

Occupations at risk and organizational well-being: an empirical test of a Job Insecurity Integrated Model

One of the more visible effects of the societal changes is the increased feelings of uncertainty in the workforce. In fact, job insecurity represents a crucial occupational risk factor and a major job stressor that has negative consequences on both organizational well-being and individual health. Many studies have focused on the consequences about the fear and the perception of losing the job as a whole (called quantitative job insecurity), while more recently research has begun to examine more extensively the worries and the perceptions of losing valued job features (called qualitative job insecurity). The vast majority of the studies, however, have investigated the effects of quantitative and qualitative job insecurity separately. In this paper, we proposed the Job Insecurity Integrated Model aimed to examine the effects of quantitative job insecurity and qualitative job insecurity on their short-term and long-term outcomes. This model was empirically tested in two independent studies, hypothesizing that qualitative job insecurity mediated the effects of quantitative job insecurity on different outcomes, such as work engagement and organizational identification (Study 1), and job satisfaction, commitment, psychological stress and turnover intention (Study 2). Study 1 was conducted on 329 employees in private firms, while Study 2 on 278 employees in both public sector and private firms. Results robustly showed that qualitative job insecurity totally mediated the effects of quantitative on all the considered outcomes. By showing that the effects of quantitative job insecurity on its outcomes passed through qualitative job insecurity, the Job Insecurity Integrated Model contributes to clarifying previous findings in job insecurity research and puts forward a framework that could profitably produce new investigations with important theoretical and practical implications