Knowledge and intelligent computing methods in e-learning
by Aditya Khamparia; Babita Pandey
International Journal of Technology Enhanced Learning (IJTEL), Vol. 7, No. 3, 2015

Abstract: E-learning is the use of technology that enables people to learn at anytime from anywhere. Various single knowledge-based methods (KBM) such as rule-base reasoning (RBR) and case-base reasoning (CBR); and intelligent computing methods (ICM) such as genetic algorithm (GA), particle swarm optimisation (PSO), artificial neural network (ANN), multi-agent systems (MAS), ant colony optimisation (ACO), fuzzy logic (FL) etc. Integrated KBM-ICM methods such as GA-CBR, ANN-RBR, GA-Ontology and ANN-Mining have been used in various e-learning contexts such as: the learning path generation, adaptive course sequencing and personalisation of recommended learning object etc. We have made a study of different individual KBM and ICM methods; and integrated KBS-ICM methods applicable to e-learning domain right from the mid 1990s to 2014. The study is presented in a tabular form, showing the KBM-ICM methods, e-learning problems to be addressed, specific features and the implementation in the e-learning domain. From the results, it is observed that a single KBM is not deployed to solve any e-learning problem. A single ICM and integrated KBM-ICM methods are used to solve various e-learning problems. The study and its presentation in the context help the novice researchers to resume their work in the area of e-learning systems.

Online publication date: Wed, 28-Oct-2015

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 Technology Enhanced Learning (IJTEL):
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