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Flexible virtual learning environments: a schema-driven approach using sematic web concepts

Wen, Lipeng


Lipeng Wen


Mike Brayshaw

C. R. Jesshope


Flexible e-Iearning refers to an intelligent educational mechanism that focuses on simulating and improving traditional education as far as possible on the Web by integrating various electronic approaches, technologies, and equipment. This mechanism aims to promote the personalized development and management of e-learning Web services and applications. The main value of this method is that it provides high-powered individualization in pedagogy for students and staff.

Here, the thesis mainly studied three problems in meeting the practical requirements of users in education. The first question is how a range of teaching styles (e.g. command and guided discovery) can be supported. The second one is how varieties of instructional processes can be authored. The third question is how these processes can be controlled by learners and educators in terms of their personalized needs during the execution of instruction.

In this research, through investigating the existing e-Iearning approaches and technologies, the main technical problems of current virtual learning environments (VLEs) were analyzed. Next, by using the Semantic Web concepts as well as relevant standards, a schema-driven approach was created. This method can support users' individualized operations in the Web-based education. Then, a flexible e-learning system based on the approach was designed and implemented to map a range of extensive didactic paradigms. Finally, a case study was completed to evaluate the research results. The main findings of the assessment were that the flexible VLE implemented a range of teaching styles and the personalized creation and control of educational processes.


Wen, L. (2008). Flexible virtual learning environments: a schema-driven approach using sematic web concepts. (Thesis). University of Hull. Retrieved from

Thesis Type Thesis
Deposit Date Mar 8, 2013
Publicly Available Date Feb 22, 2023
Keywords Computer science
Public URL
Additional Information Department of Computer Science, The University of Hull
Award Date May 1, 2008


Thesis (28.6 Mb)

Copyright Statement
© 2008 Wen, Lipeng. All rights reserved. No part of this publication may be reproduced without the written permission of the copyright holder.

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