The Application of Data Mining Techniques for Analyzing Course Design and Learning Effectiveness in Advanced Vocational Education

• Main Author: 林文義
• Other Authors: 吳志宏
• Format: Others
• Language: zh-TW
• Published: 2004
• Online Access: http://ndltd.ncl.edu.tw/handle/88028293002364367398

碩士 === 樹德科技大學 === 資訊管理研究所 === 92 === With the increasing demands on health and medical care from the public, to improve the quality of health care education is an important issue. In Taiwan, the system of advanced vocational education provides the major part of human resources on the market of nurse-practitioners. It is more than important to make sure that the education and training in these schools are of high quality. In this thesis, we study an advanced vocational college of health care. We try to explore the relations among courses and students’ background using the techniques and tools of data-mining. Techniques for finding association rules and sequential patterns are applied to explore the performance of students attending to different courses in each semester. The techniques for clustering are employed for finding the characteristics of students who have specific performance on specific courses. We expect the analytic results of this research can help similar colleges on course design and student counseling.