A Study of an Interactive Decision Model for Personalized Curriculum Planning

• Main Authors: Lai Su Chun, 賴素純
• Other Authors: Chun-Min Lee
• Format: Others
• Language: zh-TW
• Published: 2009
• Online Access: http://ndltd.ncl.edu.tw/handle/05871235462195651695

碩士 === 輔仁大學 === 資訊管理學系 === 97 === In recent years, academic and administrative information systems were already effectively implemented in many educational institutions such that useful information hidden in these institutions can be applied to each specific field. Based on techniques of data mining, this study presents a research framework and a prototype for interactively finding useful information and then planning personalized curriculum for different requirements of each student from very specific school. An empirical experiment has been conducted by using data from the management information system of National Open University. According to each student’s preference from knowledge base, the purpose of this study is to suggest a decision model for planning personalized curriculum. Data warehouse combined with data mining techniques, analytic hierarchy process (AHP), and multi-objective programming can effectively adjust dynamic response, and relevant needs of students to shorten decision-making process. Further, the multi-objective decision model can dynamically determine elective courses to meet user expectation for planning a better learning program and may receive a recommended list of courses through friendly user interfaces. Finally, several useful implications are also obtained and can be applied to similar situations in future research.