ADAPTING E-COURSES USING DATA MINING TECHNIQUES - PDCA APPROACH AND QUALITY SPIRAL
Marija Blagojevic, Zivadin Micic
Abstract: This paper presents an approach to adapting e-courses based on original PDCA (Plan, Do, Check , Act) platform and quality spiral. An algorithm for the adaptation of e-courses was proposed and implemented into the Moodle Learning Management System at the Faculty of Technical Sciences, ?a?ak. The approach is primarily based on improving LMS (Learning Management Systems) or e-learning systems through modifying the electronic structure of the courses by predicting the behaviour patterns of the users. The prediction of user behaviour patterns was done using data mining techniques. Future research will focus on modelling of excellence of continuous advancement of the original system based on the evaluation results carried out at the end of each PDCA cycle. Additionally, future work will aim at evaluating the effects of the system based on the achievements and positive feedback of the users.
Keywords: e-courses, adaptation, data mining, PDCA, spiral quality
DOI:
Recieved: 17 May 2013 Accepted: 25 August 2013 UDC: 65.018
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