Title :
An automatic inference system for the quality analysis of test items based on the Bloom´s revised taxonomy
Author :
Chang, Yi-Hsing ; Chen, Huan-wen
Author_Institution :
Dept. of Inf. Manage., Southern Taiwan Univ., Tainan, Taiwan
Abstract :
Good Test items can be used to effectively measure the ability of testers. In this paper, an inference system is proposed to automatically analyze the quality for test items based on the Bloom´s revised taxonomy. The main concept is to find the characteristics of knowledge dimension and cognitive process dimension for test items by analyzing the ldquoverbsrdquo and ldquoquestion wordsrdquo retrieved from the test items. After the system is completed, a test with 35 test items is analyzed by the system and an expert, respectively. The results show that the inference system can automatically and effectively analyze the quality of test items and reduce the load for generating a good test.
Keywords :
computer aided instruction; inference mechanisms; knowledge based systems; Bloom revised taxonomy; automatic inference system; cognitive process dimension; inference system; knowledge dimension; rule-based system; test item quality analysis; Automatic testing; Cybernetics; Education; Expert systems; Information analysis; Information management; Knowledge based systems; Machine learning; System testing; Taxonomy; Bloom´s revised taxonomy; Rule-based inference; Rule-based system;
Conference_Titel :
Machine Learning and Cybernetics, 2009 International Conference on
Conference_Location :
Baoding
Print_ISBN :
978-1-4244-3702-3
Electronic_ISBN :
978-1-4244-3703-0
DOI :
10.1109/ICMLC.2009.5212592