Advanced Technologies for analysis and classification of learning objects (LO) in e-learning environments PROCEEDINGS
Orlando De Pietro, Maurizio De Rose, Department of Economics and Statistics - University of Calabria, Italy
World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education, in Honolulu, Hawaii, USA ISBN 978-1-880094-60-0 Publisher: Association for the Advancement of Computing in Education (AACE), Chesapeake, VA
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.
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.
© 2006 AACE