WSEAS Transactions on Advances in Engineering Education
Print ISSN: 1790-1979, E-ISSN: 2224-3410
Volume 10, 2013
Online Learning Behavior and Web Usage Mining
Author:
Abstract: The application of a virtual learning environment has become widespread in Hungarian higher education. Questions of quality and adaptivity are increasingly gaining dominance, manifested in course development and course management which takes the individual specialities of learners well into consideration. In order to increase the adaptivity of the learning process, we need to have exact and relevant information on the learner’s learning characteristics and preferred learning strategies in an online environment. In this we may be aided by web mining methods, which process data from interaction between the learner and the learning objects. By the application of these methods we were trying to find an answer to the question whether any conclusions from the patterns of online learning activities were to be drawn as to preferred learning characteristics, methods and strategies and also whether the major variables of online learning behavior were possible to define.