An Adaptive Augmented Reality Learning System Based on Learning Styles

• Main Authors: Jun-Yi Li, 李俊毅
• Other Authors: Yi-Hsing Chang
• Format: Others
• Language: zh-TW
• Published: 101
• Online Access: http://ndltd.ncl.edu.tw/handle/42558859251817259016

碩士 === 南台科技大學 === 資訊管理系 === 100 === In this thesis, an adaptive AR learning system based on learning styles is proposed. The design concept is to embed the characteristics of adaptive learning and augmented reality into learning contents with real situation to enhance the learning interest and effectiveness. The learning style proposed by Felder & Silverman is first applied to analyze the learners’ learning style of learners; the corresponding learning materials are then presented for learners according to the learners’ learning style. In experiment, 60 learners are divided into the experimental group and control group. The former learns by the adaptive AR learning system and the latter learns by the way of traditional learning trail. To assess to system, the learning achievement and a questionnaire analysis based on the technology acceptance model are conducted. The questionnaire includes adaptive learning, content quality, environment interaction, perceived usefulness, and perceived ease of use. Findings show that the research scale is highly reliable. In addition, participants are attracted and willing to use the system, directly enhancing their incentives to actively learn.