1,720,962 research outputs found
An Investigation on the students’ Learning Styles in an Advanced Applied Mechanics Course
In this paper, an application of Multiple Intelligence Theory (M.I.) to the analysis of some adult students' learning characteristics is presented. The investigation is conducted over a group of students enrolled at the level of a graduate course in Aerospace Engineering of the University of Rome La Sapienza. Results allow students to better understand their own characteristics in learning, and help teachers in tuning up the adopted didactical methods. The investigation offers the possibility of acquiring a comparison learning profile to be used during freshmen candidates' orientation
An investigation on cognitive styles and multiple intelligences model based learning preferences in a group of students in engineering
The aim of this paper is offering to the Scientific Community the results of an experimental investigation which attempted to understand some characteristics of the learning methods adopted in two different groups of students enrolled in the Engineering Faculty of Sapienza University of Rome. For this reason, some dimensions have been identified by taking inspiration from the most popular and accepted models that are related to different theories of Cognitive Styles, Learning Styles and Preferences. A test has been submitted to two different groups of students and two types of analysis have been performed. Firstly, a correlation analysis have been done, within the same group of students, among the different dimensions. Then, significant differences, within the same dimension, between the two groups have been sought. Results have shown that, assuming a typical probability level, some interesting correlations among the dimensions could be detected. Furthermore, in some dimensions, significant differences appeared between the two groups. Finally, it is worth noticing that the test results have been useful both to the teacher, in order to improve the didactic method in class, and to the students, who can receive suggestions and counseling on their personal learning methods. ©2010 IEEE
The mutual influences between technology and society: a contribution from the Mechanical Engineering Diploma Universitario of the University of Rome La Sapienza
The aim of this work is to present some recent developments of the mutual actions winch are exchanged between University, Technology, and Society. After an historical review, some new influence sources are pointed out and analyzed, taken from the direct experience of the organization of a three years course of Mechanical Engineering at the Italian University level called Diploma. In particular, the capacities; which the enterprises require the new graduates, are firstly investigated; then, some useful activities and educational methods are detected; interchanging activities with some local and national enterprises are also presented. The renewal of the role the University is called to play in Society is finally analyzed, suggesting some activities which allow interactive exchanges between the University itself and many important components of the Society
Un’indagine di Customer Satisfaction per il Diploma di Laurea in Ingegneria Meccanica dell’Università di Roma “La Sapienza
Simulation of verbal and mathematical learning by means of simple neural networks
In this paper a new tool is proposed as a possible aid to study differences and similarities between the human and the artificial neural network (NN) learning of some verbal and mathematical elementary abilities. For this purpose, simple NNs of the multi layer kind (MLNN) have been build. These MLNNs are able to recognize some graphemes and/or to make additions of integers up to 1000. An algorithm based on dynamic character recognition has allowed to limit significantly the data size, making easier the NN optimization phase of training. The adopted method of grapheme encoding has allowed to generate automatically large training sets upon which the MLNNs have been trained. Then, a test set has been generated to evaluate the MLNN prediction capacity. The analysis of results has shown some interesting characteristics of the trained nets, such as, for example, the possible appearance of very rudimentary symptoms analogous to dyslexia. The specialization of the function of some groups of neurons in the neural system has been also investigated by procuring an artificial damage to the MLNN (in one or more neurons) and by evaluating the MLNN response. ©2010 IEEE
The Development of an Integrated Approach to the Planning of the Higher Technical Education: past experience and proposals
In this paper an integrated approach to the planning of the educational activities at the higher levels of the technical education is presented. For this purpose, many aspects of the educational process are examined. Orientation, Didactical Strategies, and Testing are firstly discussed as activities that can not be disregarded from the educational process. Then, the importance of the mutual influences between Society, Industry, and University is put in evidence. Finally, the experience collected during the last years at the Italian Course of Mechanical Engineering of the University of Rome, La Sapienza is reported, together with some proposal
On Some Emerging Professions in the Higher Technical Education
The need of new qualified and differentiated employment is herein analyzed, with special reference to the contest of the Italian Universities. Such requirement derive from the strong demand of innovation which the educational systems, at the highest levels, are called to deal with. The. Social contest is firstly analyzed, together with its relationship with the recent evolution of the Enterprise's policy. Then, the effects of the new Italian regulations are studied. A special part is also dedicated to the fundamental roles that IT and e-learning are paying in the innovation of the University curricula. Finally, the management of the various activities is investigated, as suggested by the Italian CRUI. The performed analysis will show that there are many emerging professions which could significantly improve the quality of education in our technical Universities
Attitudes toward Sustainability and Green Economy Issues Related to Some Students Learning Their Characteristics: A Preliminary Study
The present paper proposes and describes a new method, called L2A (listen-to-apprise), conceived of in order to improve the commitment of all the participants involved in an educational process specifically dedicated to sustainability and the green economy. The first stage consists in listening to the students and, when possible, in listening to the environment, the people, and the territory, while, in the second stage, the acquired information is used to exploit everyone's talents and to achieve the maximum advantage and satisfaction for all. The first phase of L2A is mainly dedicated to listening to the students via the submission of an on-line questionnaire that measures their learning preferences, self-efficacy and sensitivity to the themes of sustainability and the green economy. The investigation has been extended from Italy to Honduras, where the authors are involved in the development of major projects concerning sustainability. The results of the survey have been analyzed by means of standard significance and correlation analysis, and therefore, significant differences among the groups and correlations within each group have been detected. The results have been discussed in order to explain how the L2A method works and how useful and powerful a tool it could be to improve teaching, learning and practical activities
Going Beyond Counting First Authors in Author Co-citation Analysis
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
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