Authors:
Ahmed Sameh
;
Abdalla Mahmoud
and
Amr Ibrahim
Affiliation:
The American University in Cairo, Egypt
Keyword(s):
LOM, LMML, Dublin Core, Fragments, Metadata, RDF, Web Repositories, Mobile Computing.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence and Decision Support Systems
;
Authoring Tools and Content Development
;
Computer-Supported Education
;
Content-Based and Context-Based Learning
;
e-Learning
;
Enterprise Information Systems
;
Information Technologies Supporting Learning
;
Intelligent Tutoring Systems
;
Software Tools for e-Learning
;
Web-Based Teaching and Learning Technologies
Abstract:
An E-Learning system that provides vast quantities of annotated resources (fragments or learning objects)
and produces semantically rich feedback is very desirable. It is an accepted psychological principle that
some of the essential elements needed for effective learning are custom learning and semantic feedback. In
this paper we are making use of a collection (ontology) of meta-data for the design of a custom E-Learning
system that also provides learners with effective semantic educational feedback support. The learning
domain is “Mobile Computing”. We define various concepts in the domain and the relationships among
them as the ontology, and built a system to utilize them in customizing the E-Learning process. The
ontology is also used to provide informative feedback from the system during learning and/or during
assessment. The focus in this research is on the representation of ontology using languages/grammars,
grammar analysis techniques, algorithms and AI mechanisms to
customize the learning and create effective
feedbacks. The proposed mechanisms, based on Ontology; are used to assemble virtual courses and create a
rich supply of feedbacks, not only in assessment situations but also in the context of design-oriented
education. We are targeting feedbacks similar to ones in programming environments and design editors.
(More)