Journal of Software, Vol 7, No 6 (2012), 1329-1337, Jun 2012
doi:10.4304/jsw.7.6.1329-1337

Framework and Implementation of the Virtual Item Bank System

Wen-Wei Liao, Rong-Guey Ho

Abstract


Bagua, I Ching was applied to tell the fortune of people in ancient Chinese. In the modern era, we apply tests to infer the intelligence, future development direction and potential of people. However, it is not easy to design tests, and the security issue has also become a difficulty for test designers. This study has employed Item Response Theory (IRT) and Content-based image retrieval (CBIR) to establish an item bank. There are no actual items in the item bank. What replaces it is a Virtual Item Bank system (VIBs). In the VIBs, there are only the basic objects and processes in the VIBs. The items that are created by adopting the systems are directly created through the objects and processes. The system completely resolves the security issue of the item bank, and a variety of exercise systems created by adopting the system also have considerable help in enhancing students’ abilities.


Keywords


CBIR; IRT; VIBs

References


 

[1] Yang, H. L., & Ying, M. H. (2005). Could On-line Testing have the Same Effects on Scoring as Paper-and-Pencil Testing? Journal of Taiwan Normal University: Mathematics & Science Education, 50(2), pp. 85-107

[2] Ho, R. G., & Hsu, T. C. (1989). A comparison of three adaptive testing strategies using MicroCAT. Paper presented at the annual meeting of the American Educational Research Association, San Francisco, CA.

[3] Cronbach, L. J. (1990). Essentials Of Psychological Testing. New York, Harper Collins Publishers

[4] Sympson, J. B., & Hetter, R. D. (1985, October). Controlling item-exposure rates in computerized adaptive testing. Proceedings of the 27th annual meeting of the Military Testing Association (pp. 973–977). San Diego, CA: Navy Personnel Research and Development Center.

[5] van der Linden, W. J., Ariel, A., & Veldkamp, B. P. (2006). Assembling a CAT item pool as a set of linear test forms. Journal of Educational and Behavioral Statistics, 31, pp. 81–100.
http://dx.doi.org/10.3102/10769986031001081

[6] Rasch, G. (1960). Probabilistic models for some intelligence and attainment tests. Copenhagen: The Danish Institute for Educational Research.

[7] Lord, F. M. (1980). Applications of item response theory to practical testing problems. Hillsdale, NJ: Lawrence Erlbawn Associates.

[8] Jansen, M. G. H. (2003). Estimating the parameters of a structural model for the latent traits in Rasch's model for speed tests. Applied Psychological Measurement, 27(2), 138-151.
http://dx.doi.org/10.1177/0146621602250536

[9] Wainer, H. et al. (Eds.). (1990). Computerized adaptive testing: A primer. Hillsdale, NJ: Lawrence Erlbaum Associates.

[10] Baker, F. B. (1985). The basics of item response theory. Portsmouth, NH: Heinemann.

[11] Hambleton, R. K., & Swaminathan, H. (1985). Item response theory: Principles and applications. Boston, MA: Kluwer-Nijhoff.

[12] Ho, R.-G. (1989). Development and implementation of the CAI software database and interactive evaluation system. Paper Presented at the 1st 1989 International CAI Conference. Taipei, Taiwan, ROC. (Invited Speech)

[13] Liu, Z. J., Liang, R. K. & Lin, S. H. (2001), 「Automatic Item-Generation and Online Testing System for New Figure Reasoning Test, 5th Global Chinese Conference on Computers in Education / International Conference on Computer-Assisted Instruction 2001, pp. 326-333

[14] Mehtre, B. M., Kankanhalli, M. S., & Lee, W. F. (1998). Content-based image retrieval using composite color-shape approach, Information Processing & Management, 34(1), pp. 109-120
http://dx.doi.org/10.1016/S0306-4573(97)00049-6

[15] Mehtre, B. M., Kankanhalli, M. S. & Lee, W. F. (1998). Content-based image retrieval using composite colour-shape approach, Information Processing & Management, 34 (1), pp. 109-120
http://dx.doi.org/10.1016/S0306-4573(97)00049-6

[16] Reckase, M. D. (1981). Tailored testing, measurement problems and latent trait theory. Paper presented at the annual meeting of the National Council for Measurement in Education, Los Angeles.

[17] Baker, F. B. (1992). Item response theory: Parameter estimation techniques. NY: Marcel Dekker.

[18] Hambleton, R. K., & Swaminathan, H. (1985). Item response theory: Principles and applications, Boston: Kluwer-Nijhoff.


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