A data mashup for dynamic composition of adaptive courses
Joint Authors
al-Zubi, Muhammad
Khasawinah, Baha
Source
The International Arab Journal of Information Technology
Issue
Vol. 7, Issue 2 (30 Apr. 2010), pp.192-198, 7 p.
Publisher
Publication Date
2010-04-30
Country of Publication
Jordan
No. of Pages
7
Main Subjects
Educational Sciences
Information Technology and Computer Science
Topics
Abstract EN
This paper presents a novel adaptive course composition system that based on mashing up learning content in a web application.
The system includes three major components, static course system, data mashup, and adaptive course composer.
The first system enables lecturers to build multiple lesson courses that are managed with corresponding APIs including documents stored in Google docs or videos located at YouTube.
The data mashup utilizes some web and search engines APIs in which learners can search for relevant web content and display it in a grid layout.
The adaptive course composer uses learning object from the data mashup to build adaptive course based on learner preferences.
It uses a selected number of the IEEE LOM to sort the learning objects according to their educational role, difficulty level, or rating, and hence, eliminate the use of course domain ontology.
American Psychological Association (APA)
al-Zubi, Muhammad& Khasawinah, Baha. 2010. A data mashup for dynamic composition of adaptive courses. The International Arab Journal of Information Technology،Vol. 7, no. 2, pp.192-198.
https://search.emarefa.net/detail/BIM-58623
Modern Language Association (MLA)
al-Zubi, Muhammad& Khasawinah, Baha. A data mashup for dynamic composition of adaptive courses. The International Arab Journal of Information Technology Vol. 7, no. 2 (Apr. 2010), pp.192-198.
https://search.emarefa.net/detail/BIM-58623
American Medical Association (AMA)
al-Zubi, Muhammad& Khasawinah, Baha. A data mashup for dynamic composition of adaptive courses. The International Arab Journal of Information Technology. 2010. Vol. 7, no. 2, pp.192-198.
https://search.emarefa.net/detail/BIM-58623
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical referenses : p. 197-198
Record ID
BIM-58623