Using Learning Styles and Preferences to Incorporate Emerging E-Learning Tools in Teaching

Emerging e-learning tools have the potential to enrich academic environments. However, there is a need to understand the requirements, expectations, and learning styles of the end users before incorporating new tools into courses. This paper presents details of a user study to analyze learning styles and tools preferences of the end users and to explore significant relationships among them. The study outcomes highlight several significant relationships and reveal the tools preferences of various learner types. In contrast with existing studies, our study report balanced or unbiased academic performances across all learner types.

• Type: Conference
• Year: 2008
• Where: ICALT
• Authors: Nauman Saeed, Yun Yang
• Keywords: End Users, ICALT 2008, Learning Styles, Machine Learning, Tools Preferences