ACO in e-Learning: Headed For an Adaptive Knowledge Conduit Method

International Journal of Computer Science and Engineering
© 2016 by SSRG - IJCSE Journal
Volume 3 Issue 1
Year of Publication : 2016
Authors : Ashok babu, Balaji kadiravan

How to Cite?

Ashok babu, Balaji kadiravan, "ACO in e-Learning: Headed For an Adaptive Knowledge Conduit Method," SSRG International Journal of Computer Science and Engineering , vol. 3,  no. 1, pp. 1-4, 2016. Crossref,


nowadays we are in an epoch where extreme advancements in networking and in sequence technology are in exploit. The learning progression has also in use these advancements, as an outcome of which e-learning came to the prospect. Personalization in e-learning will advance the presentation of the system. Topical researches are absorbed on providing adaptableness to the knowledge administration systems, depending upon the varying user needs and contexts. Adaptability can be provided at different levels .Providing an adaptive learning path according to the situation of the learners’ is an imperative concern. An most advantageous adaptive learning path motivation help the learners in tumbling the cognitive overwork and incomprehension, and thereby improving the effectiveness of the Learning Management System (LMS). Ant Colony Optimization (ACO) is a broadly established practice since it provides an adaptive knowledge path to the learners. 3Meta-heuristic which is worn in intellectual tutoring systems provides the learning path in an adaptive approach. The most appealing attribute of ACO is its adaptation and toughness in surroundings where the learning equipment and learners are varying recurrently. In this paper we can have a look throughout the existing ACO approaches headed for providing an adaptive learning path and an introduction towards a superior attribute ant for construction the e-learning system more adaptive.


Adaptive learning path; ACO; e-Learning.


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