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Nulla si crea, nulla si distrugge, tutto si trasforma: esistono davvero le nuove professioni?
Latent Growth and Statistical Literacy
In a world governed by thousands of data, the single number can still create fear among students of behavioral and humanities science. This paradox could be removed through the increase of statistical knowledge at both secondary and post-secondary education levels. Statistical knowledge has been studied in depth in the past, and it is well known as statistical literacy. The enhancement of statistical literacy should be realized under new teaching forms more familiar to the digital native generations. This note presents an experiment based on the use of an e-learning tool in order to increase the statistical literacy among Italian students of the humanities. Three cohorts of students were been examined, and the statistical literacy has been tested over time with a dual change difference score model. The results, in limited detail, confirm the initial hypothesis: If the teaching tools are closer to the characteristics of digital native generations, an improvement in statistical literacy can be realized, but the greater the statistical complexity, the less efficient the tools become
The importance of official data for the definition of municipal policies for social housing
The State-Region agreement signed on 31st March 2009, has initiated a program to determine opportunities for urban renewal, encouraging households and businesses to invest in house as a primary asset [1].
In the framework of this Agreement, Campania Region approved the Law nr. 19/2009. Subsequent modifications to this Law have allowed Municipalities to identify areas in which carry out urban renewal initiatives, in order to promote social housing.
In our paper, we will explain the case of the Municipality of Succivo that, according to the regional housing plan, has identified the areas to be allocated for social housing. However, before, to make changes in the existing “Development Plan”, the Municipality of Succivo decided to undertake an assessment of the 'impact’ of the future Regulation and to implement a model of integrated planning and negotiation between public and private actors involved. The aim of the integrated planning has been to identify the main choices on which it is important to focus to ensure economic growth, social sustainability and citizen satisfaction in the medium and long term
Summary indicators of opinions expressed by the users of given service
In this paper we study the properties of a family of index, called CI. These indices have been proposed by Civardi, Zavarrone (2003) in order to evaluate the teaching quality in university disciplines. The most frequently used scales offer four or five points and the first two (or the last two) points on both scales are associated with negative evaluations and the last two (or the first two) are associated with symmetric positive evaluations. The empirical distribution of responses represents the starting point to compute the CI indices. Each index assumes values lying between –100 (in the case of maximum negative evaluation) to +100 (in the case of an evaluation of absolute excellence) and is obtained as the algebraic sum of two indices. The first expresses the score obtained in the semi-plane of positive evaluations while the second represents the score obtained in the semi-plane of negative evaluations. The CI index is characterized by the choice of the parameter of importance level k(0≤k≤1) on the degree of importance the “investigator/decision maker” wants to assign to the quota of very positive opinions and of the very negative ones. The construction of the universe of response models of N respondents (with 10≤N≤105) and, for each distribution, of the eleven CI indices (k=0, 0.1, ..., 0.9, 1)) allow to study the properties of effective distributions of the indices. The results highlight that all effective distributions, varying N and k, are symmetric with mean, mode and median equal to zero. The square mean error assumes values from 53 (when N=10 and k=0) to 31. The possibility of approximating CI distribution with a normal one offers interesting developments in an inferential framework
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