This paper describes a method for creating adaptive Moodle courses based on learning styles using business intelligence techniques and tools. Building an effective e-learning framework depends on finding adequate means for discovering users’ interests, preferences, motivation and needs. Data mining and its techniques are discussed as the most appropriate and sophisticated tools for swiftly determining students’ learning styles and classification into groups. Each group attended an adapted Moodle course. The evaluation of the system showed that students achieved better results with higher level of satisfaction when attending courses adapted to learning styles. An experiment was conducted within the distance education system of Laboratory for E-Business, Faculty of Organizational Sciences in Belgrade.
Примечание. Тезисы докладов публикуются в авторской редакции
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© 1996-2000, Институт вычислительных технологий СО РАН, Новосибирск
© 1996-2000, Сибирское отделение Российской академии наук, Новосибирск