Applying Bloom's Taxonomy into Knowledge Structure of Item Generating System

• Main Authors: Li-Ping Kuo, 郭立平
• Other Authors: Jia-Sheng Heh
• Format: Others
• Language: en_US
• Published: 2007
• Online Access: http://ndltd.ncl.edu.tw/handle/29269907927962691011

博士 === 中原大學 === 電子工程研究所 === 95 === Evaluating students’ learning effects is an important issue in educational assessment. A common used assessment tool for estimating what students have learned is test, however, item construction is a time-consuming job. This research designs an Item Generation System which can construct three item types, the true/false item type, the multiple choice item type, and the matching item type, automatically from the Revised Bloom's Taxonomy based knowledge structure. To realize the research goal, the system first analyzes the contents in the textbook and transforms the contents into the knowledge structure, Knowledge Map. The system then uses the knowledge map to generate different cognitive levels assertive sentences. The generated assertive sentences are converted into various item types of items according to the transformation rules designed in this research. At last, the system builds a test sheet with different items to estimate different cognitive levels knowledge stored in the students' minds. This research also designs a simple diagnosis method to make the teachers to understand their students' learning effects based on students' answer sheets. At the end of this research, a prototype item generation system is implemented and used to demonstrate the test sheet construction process. The system uses the fifth-grade lesson, "Plant", as experiment learning unit. After building the knowledge map of "Plant" domain the system creates different cognitive levels items to form a test sheet. The teacher gets the diagnosis results after students submitting their answer sheets.