Measurement of low signal-to-noise-ratio solar p modes in spatially-resolved helioseismic data

We present an adaptation of the rotation-corrected, m-averaged spectrum technique designed to observe low signal-to-noise-ratio, low-frequency solar p modes. The frequency shift of each of the 2l+1 m spectra of a given (n,l) multiplet is chosen that maximizes the likelihood of the m-averaged spectrum. A high signal-to-noise ratio can result from combining individual low signal-to-noise-ratio, individual-m spectra, none of which would yield a strong enough peak to measure. We apply the technique to GONG and MDI data and show that it allows us to measure modes with lower frequencies than those obtained with classic peak-fitting analysis of the individual-m spectra. We measure their central frequencies, splittings, asymmetries, lifetimes, and amplitudes. The low-frequency, low- and intermediate-angular degrees rendered accessible by this new method correspond to modes that are sensitive to the deep solar interior down to the core and to the radiative interior. Moreover, the low-frequency modes have deeper upper turning points, and are thus less sensitive to the turbulence and magnetic fields of the outer layers, as well as uncertainties in the nature of the external boundary condition. As a result of their longer lifetimes (narrower linewidths) at the same signal-to-noise ratio the determination of the frequencies of lower-frequency modes is more accurate, and the resulting inversions should be more precise.Comment: 17 pages, 17 figures. Accepted for publication in ApJ on 27 January 200

Modelling the Autocovariance of the Power Spectrum of a Solar-Type Oscillator

Asteroseismology is able to conduct studies on the interiors of solar-type stars from the analysis of stellar acoustic spectra. However, such an analysis process often has to rely upon subjective choices made throughout. A recurring problem is to determine whether a signal in the acoustic spectrum originates from a radial or a dipolar oscillation mode. In order to overcome this problem, we present a procedure for modelling and fitting the autocovariance of the power spectrum which can be used to obtain global seismic parameters of solar-type stars, doing so in an automated fashion without the need to make subjective choices. From the set of retrievable global seismic parameters we emphasize the mean small frequency separation and, depending on the intrinsic characteristics of the power spectrum, the mean rotational frequency splitting. Since this procedure is automated, it can serve as a useful tool in the analysis of the more than one thousand solar-type stars expected to be observed as part of the Kepler Asteroseismic Investigation (KAI). We apply the aforementioned procedure to simulations of the Sun. Assuming different apparent magnitudes, we address the issues of how accurately and how precisely we can retrieve the several global seismic parameters were the Sun to be observed as part of the KAI.Comment: 10 pages, 8 figures, accepted for publication in MNRA

Improvement of learning through European educational projects

Proceedings TEEM 2020: Eighth International Conference on Technological Ecosystems for Enhancing Multiculturality.[EN]The purpose of this article is to set out the research plan for the doctoral thesis, which deals with the definition of a methodological guide for the successful use of digital technologies in education, especially in eLearning, taking as a reference European educational projects that have been successful in achieving an improvement in the teaching and learning process. We live in an increasingly digital society that requires citizens to be prepared to adapt to the needs of the moment and to solve the problems that arise. For this to be possible, the education system must be prepared to adequately train future citizens who will join a changing labor market. To this end, teachers must be trained and know how to carry out efficient educational projects that allow them to make the most of the potential of ICT in the classroom or in distance education. The situation experienced during the 2019-2020 school year with the COVID-19 pandemic has tested the education system and its ability to adapt to a situation where the use of distance education was required and where ICT was very much needed in most of the cases to bring education to the homes. These factors make it very necessary to work for a better teaching professionalization. Therefore, the main objective of this PhD work is to enable teachers to design their projects, involving electronic learning, in a more effective way. To achieve this, what better than to use the educational projects compiled in the Erasmus+ results platform, which allow the analysis of project typology, outcomes, topics and to see those that have been catalogued as a good practice or success story. This database will be a key tool to gather information together with the collaboration of the main actors of those projects that have been successful. A methodological guide would allow teachers and teacher trainers to know the key factors that help to achieve a good design of educational projects and allow an optimal use of ICT resources and the greatest impact on the teaching-learning process

Curvelet analysis of asteroseismic data I: Method description and application to simulated sun-like stars

Context: The detection and identification of oscillation modes (in terms of their $\ell$, $m$ and successive $n$) is a great challenge for present and future asteroseismic space missions. The "peak tagging" is an important step in the analysis of these data to provide estimations of stellar oscillation mode parameters, i.e., frequencies, rotation rates, and further studies on the stellar structure. Aims: To increase the signal-to-noise ratio of the asteroseismic spectra computed from time series representative of MOST and CoRoT observations (30- and 150-day observations). Methods: We apply the curvelet transform -- a recent image processing technique which looks for curved patterns -- to echelle diagrams built using asteroseismic power spectra. In this diagram the eigenfrequencies appear as smooth continuous ridges. To test the method we use Monte Carlo simulations of several sun-like stars with different combinations of rotation rates, rotation-axis inclination and signal-to-noise ratios. Results: The filtered diagrams enhance the contrast between the ridges of the modes and the background allowing a better tagging of the modes and a better extraction of some stellar parameters. Monte Carlo simulations have also shown that the region where modes can be detected is enlarged at lower and higher frequencies compared to the raw spectra. Even more, the extraction of the mean rotational splitting from modes at low frequency can be done more easily than using the raw spectrum.Comment: 8 pages, 6 figures, accepted for publication in A&

Initial Findings from the IEA International Civic and Citizenship Education Study

Primo rapporto di sintesi dei risultati dello studio comparativo internazionale sull'educazione civica e alla cittadinanza condotto dalla IEA (International Association for the Evaluation of Educational Achievement

ICCS 2009 International Report: Civic knowledge, attitudes, and engagement among lower-secondary school students in 38 countries

Il volume è il rapporto internazionale della terza indagine IEA sull'educazione civica e alla cittadinanza, di cui vengono presntati i risultati, il quadro concettuale di riferimento, gli strumenti di rilevazione utilizzati. Hanno partecipatp all'indagine - promossa dalla International Association for the Evaluation of Educational Achievement) 38 paesi, tra cui l'Italia. La popolazione indagata è costituita dagli studenti al quarto anno di scolarità, per l'Italia gli studenti dell'ultimo anno della scuola secondaria di primo grado. I risultati si riferiscono non soltanto alle conoscenze e alle abilità degli studenti, ma anche ad alcuni atteggiamenti nei confronti di problemi di carattere civico e sociale. Il rapporto discute anche il contributo delle scuole all'educazione alla cittadinanza dei giovani.International report of the third IEA study on civic and citizenship educatio

The rationale for and use of assessment frameworks: improving assessment and reporting quality in medical education

An assessment framework provides a structured conceptual map of the learning outcomes of a programme of study along with details of how achievement of the outcomes can be measured. The rationale for using frameworks to underpin the targeting of essential content components is especially relevant for the medical education community. Frameworks have the capacity to improve validity and reliability in assessment, allowing test developers to more easily create robust assessment instruments. The framework used by the Australian Medical Assessment Collaboration (AMAC) is an interesting and relevant case study for the international community as it draws and builds on established processes in higher education assessment. The AMAC experience offers an insight into important considerations for designing assessment frameworks and implementing frameworks in differing contexts. There are lessons which have the potential to improve assessment and reporting practice and quality in not only medical education, but in other domains of assessment. Prior to implementing any programme of assessment, the framework considerations outlined here will hopefully improve the quality of assessment and reporting practice by making implicit assumptions explicit, and allowing more critical reflection and evaluation throughout assessment processes