Abstract— Recent trends in adaptive e-learning, incorporate the use of data mining techniques, to deliver learning according to learners’ requirements. In this paper, web usage mining is realized as a case study on an Indian e-learning site. The objective of this paper is the analysis of the web log data of an eLearning system and the deduction of useful conclusions. The web mining process consists of data collection, preprocessing, applying data mining techniques, followed by pattern analysis. It would help in identifying those interaction sequences which are most or least frequent and to explore how to reorganize placement of content and assessments on the basis of usage and learner assessment data, thereby making an e-learning site adaptive to deliver tailored e-content, as required by the learner.

Index Terms— Adaptation, personalization, sessionization, web usage mining.

Renuka Mahajan is with AIIT, Amity University, Noida, UP, India. email: rmahajan@amity.edu
J. S. Sodhi is with AKC Data Systems, Delhi, India.
Vishal Mahajan is with HCL Technologies, Noida, UP, India.

Cite: Renuka Mahajan, J. S. Sodhi, Vishal Mahajan, " Web Usage Mining for Building an Adaptive e-Learning Site: A Case Study," International Journal of e-Education, e-Business, e-Management and e-Learning vol. 4, no. 4, pp. 283-291, 2014.