Abstract
Item selection method is one of the most important parts of computerized adaptive testing. Traditional method is based on the item information function to select the item which has maximum information, with the maximum information test to achieve the purpose of accurate estimates the examinee’s ability level. However, this method has high item exposure rate and the test content imbalance problem, etc. To solve these problems, this article introduces a new heuristic item selection method. The results of the study show that compared with the maximum information method, with the assurance of the condition of the same measurement accuracy, the new method can better control item exposure rate and achieve content balancing.
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References
Shipin, C., Jianping, Z.: The design of ’Modern Educational Technology’ Master Course Adaptive Testing System. CET China Educational Technology 9, 93–97 (2008)
Lazarinis, F., Green, S., Pearson, E.: Creating personalized assessments based on learner knowledge and objectives in a hypermedia Web testing application. Computers & Education 55, 1732–1743 (2010)
Lord, F.M.: Applications of item response theory to practical testing problems. Krlbaum, NJ (1980)
Chuanhai, Z., Min, W., Yan, Y.: College English Vocabulary Online Adaptive Testing System Design based on IRT. Modern Educational Technology 12, 87–90 (2008)
Jinzhong, Y., Weimin, W.: Design and Implementation of the Online Adaptive Testing System based on Grails. Open Education Research 6, 96–103 (2009)
López-Cuadrado, J., Pérez, T.A., Vadillo, J.A., Gutiérrez, J.: Calibration of an item bank for the assessment of Basque language knowledge. Computers & Education 55, 1044–1055 (2010)
Thissen, D., Mislevy, R.J.: Testing algorithms. In: Wainer, H. (ed.) Computerized Adaptive Testing: A Primer Krlbaum, 2nd edn., NJ, pp. 101–113 (2000)
Lord, F.M.: A broad-range tailored test of verbal ability. Applied Psychological Measurement 1, 95–100 (1977)
Kozierkiewicz-Hetmańska, A., Nguyen, N.T.: A Computer Adaptive Testing Method for Intelligent Tutoring Systems. In: Setchi, R., Jordanov, I., Howlett, R.J., Jain, L.C. (eds.) KES 2010, Part I. LNCS, vol. 6276, pp. 281–289. Springer, Heidelberg (2010)
Huang, Y.M., Lin, Y.T., Cheng, S.C.: An Adaptive Testing System for Supporting Versatile Educational Assessment. Computers & Education 52, 53–67 (2009)
Yi, Q., Chang, H.: a-stratified CAT design with content blocking. British Journal of Mathematical and Statistical Psychology 56, 359–378 (2003)
Barla, M., Bielikova, M., Ezzeddinne, A.B., Kramar, T., Simko, M., Vozar, O.: On the impact of adaptive test question selection for learning efficiency. Computers & Educations 55, 846–857 (2010)
Weiss, D.J.: Adaptive testing by computer. Journal of Consulting and Clinical Psychology 53, 774–789 (1985)
Mills, C.N., Stocking, M.L.: Practical issues in large-scale computerized adaptive testing. Applied Measurement in Education 9, 287–304 (1996)
Tzai-hsing, K., Hsien-tang, L., Shyan-ming, Y.: Web-Based Adaptive Testing System. WuHan University Journal of Natural Sciences 1, 313–322 (2006)
Cheng, P.E., Liou, M.: Computerized Adaptive Testing Using the Nearest-Neighbors Criterion. Applied Psychological Measurement 3, 204–216 (2003)
Barla, M., Bielikova, M., Ezzeddinne, A.B., Kramar, T., Simko, M., Vozar, O.: On the impact of adaptive test question selection for learning efficiency. Computers & Educations 2, 846–857 (2010)
Leung, C.K., Chang, H.H., Hau, K.T.: Computerized adaptive testing: A mixture item selection approach for constrained situations. British Journal of Mathematical & Statistical Psychology 3, 239–257 (2005)
Huang, Y.M., Lin, Y.T., Cheng, S.C.: An Adaptive Testing System for Supporting Versatile Educational Assessment. Computers & Education 52, 53–67 (2009)
Cheng, Y., Chang, H.: The maximum priority index method for severely constrained item selection in computerized adaptive testing. British Journal of Mathematical and Statistical Psychology 62, 369–383 (2009)
Lishan, K., Yun, X., Shiyong, Y., Zuhua, L.: Non-numerical parallel algorithms -simulated annealing algorithm. Science Press, Beijing (2003)
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Lu, P., Zhou, D., Qin, S., Cong, X., Zhong, S. (2012). The Study of Item Selection Method in CAT. In: Li, Z., Li, X., Liu, Y., Cai, Z. (eds) Computational Intelligence and Intelligent Systems. ISICA 2012. Communications in Computer and Information Science, vol 316. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34289-9_45
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DOI: https://doi.org/10.1007/978-3-642-34289-9_45
Publisher Name: Springer, Berlin, Heidelberg
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