The Application of Big Data for Teaching and Learning

• Main Authors: Hsu-Hui Chen, 陳旭暉
• Other Authors: Shih-Ming Pi
• Format: Others
• Language: zh-TW
• Published: 2015
• Online Access: http://ndltd.ncl.edu.tw/handle/v7ycb8

碩士 === 中原大學 === 資訊管理研究所 === 103 === Within big data analysis growing, using educational data mining will cluster unstructured data into useful information. Also, it influences the traditional mode of teaching and has a disruptive innovation of education. Because of data source distributing and formatting inconsistencies, it’s becoming difficulties of data collection and integration for educational data mining. However, we need a solution to resolve simple data obtained problem and low quality data issue has become a challenge. In this study, we proposed student data warehouse processes which solved school data issue of dispersed storage, data format inconsistent, different definitions of the data in each department and low quality data without affecting school business execution. This model has three stages for solving above disadvantages. First, construct data warehouse based on student view. Second, explore the data sources and build synchronization mechanisms. Finally, according to analysis demands building data mart. Those processes will implement in the school for case. Through those processes to verify this model’s feasibility, we supposed to aggregate difficulties and precautions at every stage of the process encountered, as an integrated reference for student data.