Abstract
In e-learning environment, online testing system can help to evaluate students’ learning status precisely. To meet the users’ multiple assessment requirements, a new test-sheet composition model was put forward. Based on the proposed model, a genetic algorithm with effective coding strategy and problem characteristic mutation operation were designed to generate high quality test-sheet in online testing systems. The proposed algorithm was tested using a series of item banks with different scales. Superiority of the proposed algorithm is demonstrated by comparing it with the genetic algorithm with binary coding strategy.
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Wang, F., Wang, W., Pan, Q., Zuo, F. (2009). A Novel Online Test-Sheet Composition Approach Using Genetic Algorithm. In: Cai, Z., Li, Z., Kang, Z., Liu, Y. (eds) Advances in Computation and Intelligence. ISICA 2009. Lecture Notes in Computer Science, vol 5821. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04843-2_1
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DOI: https://doi.org/10.1007/978-3-642-04843-2_1
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