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Transactions: WSEAS TRANSACTIONS ON INFORMATION SCIENCE AND APPLICATIONS
Transactions ID Number: 32-872
Full Name: Yi-Hsing Chang
Position: Associate Professor
Age: ON
Sex: Male
Address: No. 1, Nan-Tai Street, Yung-Kang City, Tainan County 710
Country: TAIWAN
Tel: 886-6-2533131 ext. 4336
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E-mail address: yhchang@mail.stut.edu.tw
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Title of the Paper: A Test Items Knowledge Library System for Adaptive Learning
Authors as they appear in the Paper: YI-HSING CHANG, SHIH-FENG HSU, RONG-JYUE FANG
Email addresses of all the authors: yhchang@mail.stut.edu.tw,hsusf@dwhs.tnc.edu.tw,Rxf26@mail.stut.edu.tw
Number of paper pages: 13
Abstract: A test items knowledge library system of for adaptive learning is proposed in this paper. The first step is to carry out the quantity and quality analysis of the test items by using the Bloom¡¦s revised taxonomy and scale anchoring respectively to produce the characteristics for test items. A smoothing method of arbitrary anchoring revised from scale anchoring is first proposed to make tests more accurate in distinguishing test levels. In addition, raised three dimensional indicators based on the Bloom¡¦s revised taxonomy are adopted to validate test contents and therefore it concretely describes the examining function of items. The items obtained have the precise and concrete properties; an item knowledge library is therefore constructed combining teaching materials and items using the technologies of ontology and knowledge management. Finally, a knowledge library system of test items is established to achieve the purpose of adaptive learning for learners. Three !
conclusions are illustrated as follows: smoothing method of arbitrary anchoring can more precisely represent the items¡¦ levels and indicates item¡¦s difficultness as well as the tester¡¦s ability of passing the test; the three dimensional models can concretely describe the specific characteristics of the test: items from instructional content, knowledge classification, classification of cognitive process; the test items of knowledge library system could provide references for teachers doing proposition and give students a better adaptive learning environment.
Keywords: Scale anchoring, Bloom¡¦s revised taxonomy, Test item knowledge library, Adaptive learning
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