Application of high-level fuzzy Petri nets to educational grading system

University of Taipei > 理學院 > 資訊科學系 > 期刊論文 > Item 987654321/15996

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题名:	Application of high-level fuzzy Petri nets to educational grading system
作者:	Shen, Victor R.L.;Yang, Cheng-Ying;楊政穎;Wang, Yu-Ying;Lin, Yu-Hsiang
贡献者:	臺北市立教育大學資訊科學系
关键词:	Computerized adaptive test;Item response theory;High-level fuzzy Petri net;Learning evaluation
日期:	2012-12
上传时间:	2017-07-31 13:35:25 (UTC+8)
摘要:	For the purpose of understanding the students’ learning achievement, the most direct way is to implement a test. Due to the rapid development of information technology, all kinds of combination of information technology with the adaptive test have been incessantly noted by many scholars. In general, the computerized adaptive test includes the item response theory that tests the students’ learning ability of subjects. However, the results based only on the dichotomy of correct answers and wrong answers are not so comprehensive judgments. Situations of correct answers and wrong answers should be different in their degrees; for example, completely correct, partially correct, completely wrong, and partially wrong. But the partially correct or partially wrong is vague and difficult to define. Thus it is appropriate to use fuzzy theory to solve the vagueness problem. Therefore, this study presents a novel learning evaluation model which applies high-level fuzzy Petri net (HLFPN) and infers via a fuzzy reasoning method the different answering performances generated by different examinee’s abilities corresponding to the test items in different degrees of difficulty. Finally, we synthesize the answering performance of every test item and make a reasonable evaluation.
關聯:	Expert Systems with Applications，39(17)，P.12935-12946
显示于类别:	[資訊科學系] 期刊論文

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