Context-Aware Generative Learning Objects for Teaching Computer Science

被引：0

作者：

Burbaite, Renata ^{[1
]}

Bespalova, Kristina ^{[1
]}

Damasevicius, Robertas ^{[1
]}

Stuikys, Vytautas ^{[1
]}

机构：

[1] Kaunas Univ Technol, Software Engn Dept, Kaunas, Lithuania

来源：

INTERNATIONAL JOURNAL OF ENGINEERING EDUCATION | 2014年 / 30卷 / 04期

关键词：

generative learning object; context modelling; e-learning; computer science education;

D O I：

暂无

中图分类号：

G40 [教育学];

学科分类号：

040101 ; 120403 ;

摘要：

The paper introduces context-aware Generative Learning Objects (GLOs) to support wide-scale reusability and automatic adaptability in teaching Computer Science (CS) topics. We introduce the theoretical background of the approach to support adaptation through transformations based on the principles of Design-for-Reuse and Design-with-Reuse, which are well known in Software Engineering (SWE), and validate the approach in the robotics-based CS course. We automatically adapt GLOs to the specific context of teaching using transformation tools (refactoring tool and metalanguage processor) to transform a set of context-aware GLOs into usable LOs within the educational Arduino robotics environment.

引用

下载

页码：929 / 936

页数：8

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