The Challenge of Feedback Personalization to Learning Styles in a Web-Based Learning System

Feedback is information that is provided to a user to inform him/her about the result of his/her action and to motivate him/her to further interact with the system. In web-based learning systems (WBLS), feedback is particularly important in test and evaluation tasks. The main objective of the paper is twofold: (1) to encourage WBLS designers and specialists to pay more attention to the problem of feedback adaptation, and (2) to analyze suggestions for feedback personalization to learning styles in a WBLS.

• Type: Conference
• Year: 2006
• Where: ICALT
• Authors: Ekaterina Vasilyeva, Mykola Pechenizkiy, Seppo Puuronen
• Keywords: Feedback, Feedback Adaptation, ICALT 2006, Machine Learning, Web-based Learning Systems