A knowledge-based consultancy system using ICT Newhouse indicators with reasoning techniques for consultants in e-learning
by Hai Van Pham; Philip Moore; Loc Nguyen Thi My
International Journal of Adaptive and Innovative Systems (IJAIS), Vol. 2, No. 3, 2015

Abstract: In e-learning evaluation plays an important role in learning management systems. In this article we present a knowledge-based consultancy system designed to enable novel methods for web-based training with advanced features. This study aims to develop a new approach using ICT Newhouse indicators with reasoning techniques capable of handling both explicit and tacit knowledge using a fuzzy rule-based approach in which linguistic (semantic) terms are used to express rules and preferences. The fuzzy rules are implemented using forward and backward chaining techniques. Evaluation of our proposed approach has utilised testing using 12 courses at Hanoi University of Science and Technology with experts feedback using the three reasoning rule levels in the knowledge base to realise precise definition(s) of performance and quality of outcomes. Experimental results derived in the third layer demonstrate that the proposed approach achieved is the highest being in the range of 84% to 90% compared to expert's responses in respect of the correct answers, combined events, and results of other rules in the knowledge base. As compared to alternative conventional approaches which use forward and backward chaining, the performance of the proposed approach shows improvements measured by responses in real-time when applied to the web-based training with automated reasoning dialogue consultants.

Online publication date: Wed, 27-Jan-2016

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Adaptive and Innovative Systems (IJAIS):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com