Exploring Multiple-Objective Optimization for Efficient and Effective Test Paper Design with Dynamic Programming Guided Genetic Algorithm

Automatic test paper design is critical in education to reduce workloads for educators and facilitate an efficient teaching process. However, current designs fail to satisfy the realistic teaching requirements of educators, including the consideration of both test quality and efficiency. This is the...

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Vydané v:	Mathematical biosciences and engineering : MBE Ročník 21; číslo 3; s. 3668 - 3694
Hlavní autori:	Wang, Han, Zhuge, Qingfeng, Sha, Edwin Hsing-Mean, Xia, Jianghua, Xu, Rui
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States AIMS Press 18.02.2024
Predmet:	automated test paper design dynamic programming genetic algorithm linear programming multiple objectives optimization genetic algorithm dynamic programming multiple objectives optimization linear programming automated test paper design
ISSN:	1551-0018, 1551-0018
On-line prístup:	Získať plný text
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