Constructivist Teaching-Learning Environment Generator System based on Learning Objects (AMBAR): multiple discipline interaction in e-learning environments

被引:0
作者
Gertrudis Lopez, Maria [1 ]
Miguel, Vanessa [2 ]
Elena Montano, Nora [1 ]
机构
[1] Cent Univ Venezuela, Escuela Computac, Fac Ciencias, Caracas, Venezuela
[2] Cent Univ Venezuela, Escuela Med Luis Razetti, Inst Med Expt, Fac Med, Caracas, Venezuela
来源
RED-REVISTA DE EDUCACION A DISTANCIA | 2008年 / 19期
关键词
Learning Objects; Learning Objects Repositories; Constructivism; Teaching-Learning Environment Generator System; SCORM; IMS Learning Design Ontology;
D O I
暂无
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
This article describes the multidiscipline base interaction between instructional design and the software engineering of a Constructivist Teaching-Learning Environment Generator System (AMBAR), a web-based software tool that will allow teachers and pupils to design and participate in constructivist teaching-learning processes based on reusable Learning Objects (LO). The conceptual base of AMBAR is described, including definitions and characteristics related to LO and its repositories; the constructivist learning theories in which it is based, such as Generative Learning and Cognitive Flexibility Theory, as well as standards such as SCORM and IMS Learning Design and semantic web vision. For the development of AMBAR, an Object-Oriented method based on Unified Modeling Language (UML) is used, combining instructional design methods with software engineering methods, framed within an interdisciplinary vision. Currently, the first prototype of LO repository is in place, an ontology that will permit the incorporation of intelligent mechanisms of user guide for assisted construction of learning environments and a Teaching-Learning Environment generator based on concept formation.
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页数:14
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