Data Visualization Analysis Discipline Differences in MOOCs Courses Implementation

• Main Authors: Tung-Yang Ho, 何東陽
• Other Authors: 黃朝曦
• Format: Others
• Language: zh-TW
• Published: 2019
• Online Access: http://ndltd.ncl.edu.tw/handle/3psxzz

碩士 === 國立宜蘭大學 === 資訊工程學系碩士班 === 107 === With the current era of big data, the advancement of science and technology has become an indispensable factor. With the development of digital technology, attracting students from all over the world to take courses, MOOCs have become an important trend in digital learning in higher education today. In order to understand the meaning behind the complex information, and from data exploration, computer graphics, and human-computer interaction interface and other disciplines derived from the new disciplines: data visualization, visualization of data by graphics Way to provide a fast, clear shortcut, used to understand the hidden meaning behind the information. This research adopts Tableau software to analyze the data of the broad band provided by ewant course data, by completing the classification of the data type, we map the data and its visible attributes to decide what kind of attributes to express the data type is the most efficient. These presentations include real-time reporting tools, dynamic dashboard, and data visualization tools such as simulation. The results of the analysis of the four MOOCs courses are discussed. According to the research results Pure Discipline emphasis on theoretical knowledge, high knowledge threshold; Applied emphasis on experience and application, lower knowledge threshold; Hard Discipline knowledge is objective and has standard answers, and it is important to gradually accumulate knowledge; Soft Discipline knowledge is subjective and there is no standard answer, and personal opinions are emphasized and many people are required to express their opinions. After data analysis in addition to visual analysis can help teachers and researchers Courses fast learner understand learning situation, based on analysis of the chart and can be appropriate to improve the teaching content, teaching strategies and curriculum management, so as to make reference to the future related teaching design. Through this research, a set of SOP should be established to map the models that can be applied in the future courses, and data analysis and modelling will be provided to provide future courses for teachers and researchers to use for reference by follow-up researchers.