A mashup-based adaptive learning system

Abstract

This study aims to build, using Felder and Silverman's Learning Style Theory and Mashup technology, an adaptive learning system to help students improve their learning effect. In this system, Felder and Silverman's Learning Style Theory is used to gain an understanding of students' learning styles to enable them to engage in adaptive learning according to their respective learning styles. Additionally, this learning system also allows learners to use a Mashup search engine to search for related supplementary teaching materials to achieve better learning results. After its completion, the learning system was used to conduct an experiment on the freshmen of two computer programming classes in the university's Information Management Department to compare the difference in students' learning effect. Moreover, a questionnaire was designed based on Technology Acceptance Model to carry out qualitative and quantitative analyses. The results showed that compared with the control group, students in the experiment group made more significant improvement in their academic performance and all of them had a positive evaluation for the learning system.