Adapted Testing Algorithm Based on Student Conceptual Structure

• Main Authors: Yuao-Han Sheu, 許曜瀚
• Other Authors: Bor-Chen Kuo
• Format: Others
• Language: zh-TW
• Published: 2008
• Online Access: http://ndltd.ncl.edu.tw/handle/84230281853198976944

碩士 === 國立臺中教育大學 === 教育測驗統計研究所 === 96 === The goal of this paper is trying to develop an algorithm for auto-combining student item structure and professional knowledge structure for modeling student knowledge structure, and develop an adapted test algorithm based on student knowledge structure to approach the goal of an adapted test. This study is designed with two testing orders and different item weight passed criterions. The information of testing items of one selected concept are three different kinds of item weight, they are “achieved item weight”, “equal item weight”, and “ordering probability item weight”. This study compares the effects of the adapted test processing used the real response of students advanced by this paper. The result shows that the adapted test processing advanced by this paper can clearly point out students’ wrong concepts and reduced the used test item numbers.