Model of Adaptive Learning Objects for Virtual Enviroments

被引：0

作者：

Guevara, Carlos ^{[1
]}

Aguilar, Jose ^{[2
,3
]}

机构：

[1] Univ Nacl Expt Guayana, Puerto Ordaz, Venezuela

[2] Univ Los Andes, Merida, Venezuela

[3] Univ Tecn Particular Loja, Loja, Ecuador

来源：

PROCEEDINGS OF THE 2016 XLII LATIN AMERICAN COMPUTING CONFERENCE (CLEI) | 2016年

关键词：

Adaptive Learning Object; Virtual Education; DELIVERY;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

This article presents a Model of an Adaptive Learning Object (MOAA) for virtual environments from a definition of Adaptive Learning Object, and a proposition of extension of the LOM standard to specify the adaptation metadata. The MASINA methodology and the UML diagrams are used to describe it. The model specifies modularly and independently two categories of rules, of adaptation and conversion, giving it versatility and flexibility to perform different types of adaptation to the learning objects, incorporating or removing rules in each category.

引用

页数：10

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