Research on intelligent test paper generation based on knowledge point and paper template

Intelligent test paper, which has considerable related researches nowadays, is the core part in ComputerAided Instructions’ test field. At present intelligent test paper’s realization methods, mainly are the following several kinds of types: randomized algorithm (Yuying Wang et al. 2003, Zelin Chen et al. 2010), backtracking algorithm (Bingyi Mao 2002, Peiguang Lin et al. 2006), genetic algorithm (Xiaodong Chen et al. 2005, Lian Xiao et al. 2008), particle swarm algorithm (Xinran Li et al. 2013) and fuzzy algorithm (Yun Qing 2013). Most of them are genetic algorithm.