Title :
Building repositories of learning objects in specialized domains: the Chasqui approach
Author :
Sierra, José L. ; Fernández-Valmayor, Alfredo ; Guinea, Mercedes ; Hernanz, Héctor ; Navarro, Antonio
Author_Institution :
Dipt. Sistemas Informaticos y Programacion, Univ. Complutense de Madrid, Spain
Abstract :
In this paper we describe the Chasqui approach to the construction of repositories of learning objects (LO) in specific knowledge areas. This approach is the result of our experiences in the virtualization of academic museums at the Complutense University of Madrid (Spain) as well as of some experiences in the visualization of the campus of this university. This approach promotes a close collaboration between two kinds of actors: domain experts (e.g., researchers and lecturers) and developers. This collaboration results in (i) the definition of a suitable model for the LO in the domain of interest, (ii) the construction by developers of a domain-specific tool for authoring LO conforming this model, and (iii) the population of the repository by domain experts using this tool. The domain specific LO models and the domain specific tools based on these models facilitate the production and maintenance of the repositories and the exploitation of the educational potential of the resources used by the experts in their daily work.
Keywords :
distributed object management; educational computing; humanities; object-oriented programming; virtual reality; Chasqui approach; Complutense University of Madrid; Spain; academic museum virtualization; campus virtualization; domain experts; domain-specific tool for; learning object authoring; learning object repository building; specialized domains; virtual campus; virtual museum; Collaboration; Collaborative tools; Collaborative work; Electronic learning; Guidelines; Natural languages; Production; Resource virtualization; Sections; Authoring of domain-specific learning objects; Repositories of learning objects; Virtual campuses; Virtual museums;
Conference_Titel :
Advanced Learning Technologies, 2005. ICALT 2005. Fifth IEEE International Conference on
Print_ISBN :
0-7695-2338-2
DOI :
10.1109/ICALT.2005.77