Agostino Marengo

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This work belongs to a project in support of the semantic Web standard. The aim is to give an ontological support for the creation of e-learning courses. This will make a selection of learning objects according to semantic descriptors and in heterogeneous contexts, by means of a selective agent of didactic courses customized on the user's preferences. This(More)
This project started from the necessity to create a taxonomic classification for the management of the Learning Objects (LO) repository used by the LCMS platforms. The classification obtained is now in use for the OSEL project (OSEL website – http://www.osel.it). The OSEL project is financed by the Statistics Department of the University of Bari. The aim is(More)
Here is described the implementation of adaptivity in Moodle: a specific but very common Learning Management System. After a preliminary study about the adaptive built-in features in moodle learning management system, and the capabilities ready to perform a suitable student modeling, the research team extended Moodle capabilities with a specific data model,(More)
In 2005, the Italian Ministry of the University, has granted a financing to the University of Bari for the planning and development of the project "Advanced services for e-learning in Pug Ha". The research group has focused the necessary resources following a direct approach, integrating the goals determined for an academic environment with the fundamental(More)
Copyright The International Journal of Technology Diffusion (IJTD) (ISSN 1947-9301; eISSN 1947931X), Copyright © 2013 IGI Global. All rights, including translation into other languages reserved by the publisher. No part of this journal may be reproduced or used in any form or by any means without witten permission from the publisher, except for(More)
Intelligent e-learning systems have revolutionized online education by providing individualized and personalized instruction for each learner. Nevertheless, till now very few systems were able to leave academic labs and be integrated in real commercial products. One of these few exceptions is the Learning Intelligent Advisor (LIA) described in this paper,(More)
This paper will describe the development and implementation of an Adaptive System Prototype with the aim to manage an automated and customized learning experience. After the first in-depth study on the usefulness and effectiveness of personalized learning approach, the research team intended to fill the gap between the theory of personalized learning(More)
This will enable an evaluation of the Return On Investment (ROI) using the new concept of Yield Index “e-lYI” (e-learning Yield Index), introduced in this study. The Yield Index “e-lYI” suggests an original way to evaluate the implementation of e-learning methodologies into campus based environments; still, the new index will help professionals involved in(More)