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Advanced Technologies for analysis and classification of learning objects (LO) in e-learning environments

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De Pietro, O. & De Rose, M. (2006). Advanced Technologies for analysis and classification of learning objects (LO) in e-learning environments. In T. Reeves & S. Yamashita (Eds.), Proceedings of World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education 2006 (pp. 32-39). Chesapeake, VA: AACE.
Retrieved from http://www.editlib.org/p/23655.

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Conference Information

ELEARN

World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education (ELEARN) 2006
Honolulu, Hawaii, USA
October 2006
ISBN 1-880094-60-6
  Thomas Reeves & Shirley Yamashita
AACE

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Authors

Orlando De Pietro, Maurizio De Rose, Department of Economics and Statistics - University of Calabria, Italy

Abstract

In the present work, the study focuses on the analysis of the production-distribution process of the contents inside an e-learning platform and more particularly on the classification operations of the learning objects (LO) from the part of the teachers, in order to make the didactic material research more effective from the part of the learners, in the following phases of information-retrieving. Specifically, some algorithms have been proposed and elaborated for the calculation of the semantic metrics, in order to assign a LO in a specific belonging CLASS. From the moment that in an e-learning platform, a lot of classes that gather the didactic contents for each macro-area of affinity, can be present.

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