Volume : VII, Issue : V, May - 2017

Predicting Learner Knowledge Level In The E–learning Environment

C. Rajendra, Dr. B. Kavitha

Abstract :

 In the e–learning environment, learners have different knowledge levels, diverse states of mind about teaching and learning and different responses to particular e–learning situation and instructional materials. The more completely the substance designers comprehend the distinctions, the better possibility they have of meeting the differing adapting necessities of the greater part of their learners. The performance of the learners in e–learning environments is extremely affected by the way of the posted e–learning material and can be improved by providing appropriate learning content to the learners based on their knowledge level. Due to the complexity of the evolving paradigm, the approaching dynamics of learning requires the development of knowledge delivery and evaluation. Assessment of learners’ knowledge level is important to adapt content presentation and to have more practical evaluation of online learners. This research tries to predict the learner knowledge level with the help of machine learning and user activity analysis. Several classification algorithms are applied for automatic prediction of Learner knowledge Level(LKL) and the corresponding results were posted

Keywords :

Article: Download PDF   DOI : 10.36106/ijar  

Cite This Article:

C.Rajendra, Dr.B.Kavitha, Predicting Learner Knowledge Level In The E–learning Environment, INDIAN JOURNAL OF APPLIED RESEARCH : Volume‾7 | Issue‾5 | May‾2017

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