Increasing the self-regulated learning effectiveness using augmented reality and indoor positioning technology

• Main Authors: Pei-Ya Zeng, 曾佩雅
• Other Authors: 黃天麒
• Format: Others
• Language: zh-TW
• Published: 2015
• Online Access: http://ndltd.ncl.edu.tw/handle/2422r9

碩士 === 國立臺中科技大學 === 資訊管理系碩士班 === 103 === Based on the self-regulatory learning (SRL) theory, this study has developed and designed the NO Donkey E-learning (NODE) system applicable to the library-specified SRL system. The NODE developed on the basis of the SRL cycle has been used to design the respective subsystems corresponding to each respective process and support the 4 major SRL attributes.NODE enables learners to see the actual views of the library via the camera lens through the augmented reality and indoor navigation at the cell phone end and offers such services as navigation of bibliographical positioning (location of books) and bibliography-related intelligence (files / texts / info) of virtual education, thus directing (guiding) the learners to learn in a well-organized way; moreover, self-monitoring at the website end enables the learners to control their learning progress and helps train them to be capable of self-regulatory learning (SRL). The data collected by the questionnaire survey and processed by statistic methods explored the SRL competence acquired by the students using NODE and the support level to the 4 major SRL attributes; furthermore, the students were interviewed to gain an in-depth understanding of their afterthoughts. The outcomes prove that learners acknowledge that NODE is able to support the 4 major SRL attributes. It is thus inferred that NODE can assist learners in nurturing the SRL capability.