標題: On the development of a computer-assisted testing system with genetic test sheet-generating approach
作者: Hwang, GJ
Lin, BMT
Tseng, HH
Lin, TL
資訊管理與財務金融系 註:原資管所+財金所
Department of Information Management and Finance
關鍵字: computer-assisted testing;genetic algorithm (GA);mixed integer programming;test sheet generating
公開日期: 1-十一月-2005
摘要: Since the last decade, computer-assisted testing has proven to be an efficient and effective way to evaluating students' learning status such that proper tutoring strategies can be adopted to improve-their learning performance. A good test will not only help the instructor evaluate the learning status of the students, but also facilitate the diagnosis of the problems embedded in the students' learning process. One of the most important and challenging issues in conducting a good test is the construction of test sheets that can meet various assessment requirements. A previous study has indicated that selecting test items to best fit multiple assessment requirements can be formulated as a mixed integer programming model. The problem is known to be NP-hard in the literature and, hence, computational challenges hinder the development of efficient solution methods. As a sequel, we instead seek quality approximate solutions in a reasonable time. Two approximation methods based upon a genetic approach are developed. Statistics from a series of computational experiments indicate that our approach is able to efficiently generate near-optimal combinations of test items that satisfy the specified requirements or constraints.
URI: http://dx.doi.org/10.1109/TSMCC.2004.843184
http://hdl.handle.net/11536/13103
ISSN: 1094-6977
DOI: 10.1109/TSMCC.2004.843184
期刊: IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND REVIEWS
Volume: 35
Issue: 4
起始頁: 590
結束頁: 594
顯示於類別:期刊論文


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