摘要
提出了一种教学反馈信息提取方法。研究了教学用时分配与学生答题出错率、出错失分率以及总失分率之间的关系,建立了相应的简化数学模型,并用改进的遗传算法进行了优化处理。在遗传算法中,对选择、杂交和变异,不论从算子的选择还是概率分配都根据进化代数进行了动态调整,从而提高了收敛速度并为搜索全局最优解提供了可能。
An approach to extract teaching feedback information is proposed.The relationship among teaching time allocation,students’answer error rate,error losing point rate and total losing point rate is studied,the corresponding simplified mathematical model is established and it is optimized by improved genetic algorithm.In the genetic algorithm,for the selection,crossover and mutation operators,both operator choice and probability distribution are dynamically adjusted according to the evolution generations. Therefore the convergence speed is improved and probability of searching for the global optimal solution is provided.
出处
《计算机时代》
2009年第11期77-79,共3页
Computer Era
关键词
教学管理
计算机辅助教学
数理统计
遗传算法
teaching management
computer-aided instruction（CAI）
mathematical statistics
genetic algorithm
