An Approach for Detecting Learning Styles in Learning Management Systems

Detecting the needs of learners is a challenging but essential task to be able to provide adaptivity. In this paper we present a tool that enables learning management systems (LMS) to detect learning styles based on the behavior of learners during an online course. By calculating the learning styles and filling the student model of LMS with such personal data, a basis for adaptivity is provided.

• Type: Conference
• Year: 2006
• Where: ICALT
• Authors: Sabine Graf, Kinshuk
• Keywords: Essential Task, ICALT 2006, Learning Management Systems, Learning Styles, Machine Learning