A Novel Approach for Composing Test Sheets from Large Item Banks to Meet Multiple Assessment Criteria

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Fifth IEEE International Conference on Advanced Learning Technologies (ICALT'05)

Kaohsiung, Taiwan

July 05-July 08

ISBN: 0-7695-2338-2

	ASCII Text	x
	Gwo-Jen Hwang, Peng-Yeng Yin, Gwo-Haur Hwang, Ying Chan, "A Novel Approach for Composing Test Sheets from Large Item Banks to Meet Multiple Assessment Criteria," Advanced Learning Technologies, IEEE International Conference on, pp. 46-50, Fifth IEEE International Conference on Advanced Learning Technologies (ICALT'05), 2005.

	BibTex	x
	@article{ 10.1109/ICALT.2005.16, author = {Gwo-Jen Hwang and Peng-Yeng Yin and Gwo-Haur Hwang and Ying Chan}, title = {A Novel Approach for Composing Test Sheets from Large Item Banks to Meet Multiple Assessment Criteria}, journal ={Advanced Learning Technologies, IEEE International Conference on}, volume = {0}, year = {2005}, isbn = {0-7695-2338-2}, pages = {46-50}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICALT.2005.16}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Advanced Learning Technologies, IEEE International Conference on TI - A Novel Approach for Composing Test Sheets from Large Item Banks to Meet Multiple Assessment Criteria SN - 0-7695-2338-2 SP46 EP50 A1 - Gwo-Jen Hwang, A1 - Peng-Yeng Yin, A1 - Gwo-Haur Hwang, A1 - Ying Chan, PY - 2005 KW - null VL - 0 JA - Advanced Learning Technologies, IEEE International Conference on ER -

Gwo-Jen Hwang, National University of Tainan

Peng-Yeng Yin, National Chi Nan University

Gwo-Haur Hwang, Ling Tung College

Ying Chan, Tamkang University

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICALT.2005.16

To accurately analyze the problems of students in learning, the composed test sheets must meet multiple assessment criteria, such as the ratio of relevant concepts to be evaluated, the average discrimination degree, difficulty degree and estimated testing time .In this paper, a heuristic approach is proposed to improve the efficiency of composing near optimal test sheets from very large item banks to meet multiple assessment criteria. From the experimental results, we conclude that our novel approach is desirable in composing near optimal test sheets from large item bank and hence can support the need of diagnosing student learning problems.

Citation:

Gwo-Jen Hwang, Peng-Yeng Yin, Gwo-Haur Hwang, Ying Chan, "A Novel Approach for Composing Test Sheets from Large Item Banks to Meet Multiple Assessment Criteria," icalt, pp.46-50, Fifth IEEE International Conference on Advanced Learning Technologies (ICALT'05), 2005

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