Investigating the influence of students' learning-style preferences on user intentions regarding illustration software
Journal
ACM International Conference Proceeding Series
Pages
179-183
Date Issued
2019
Author(s)
Abstract
With repaid development of web techniques, the Internet brings great innovation to the world. Visualization tools have especially attracted attention from researchers because visual representations such as diagrams and charts can easily express data to receivers. Computer assisted visualization systems are presently used in such industries as medicine, service, and finances, so students equipped with fundamental knowledge of illustration software may enhance their core competencies. In addition, learning style refers to an individual's approach to learning based on preferences, strengths, and weaknesses. This study investigated the influence of learning-style preferences on learners' intentions to use illustration software. The experiment's result showed that different learning styles could affect learners' preferences in illustration software and differences in user satisfaction between "active-reflective" and "global-sequential" learning styles.
Type
conference paper