摘要
传统计算机课程线上教学资源推荐方法的平均绝对误差较高,为此设计基于免疫进化算法的线上教学资源推荐方法。利用免疫进化算法构建线上教学资源推荐模型,设计计算机课程线上教学资源推荐引擎,完成线上教学资源推荐。实验结果表明,该方法的平均绝对误差较低,优于对照组,具有可靠性。
The average absolute error of traditional online teaching resource recommendation methods for computer courses is relatively high.Therefore,an online teaching resource recommendation method based on immune evolution algorithm is designed.We constructed an online teaching resource recommendation model using immune evolution algorithm,designed a computer course online teaching resource recommendation engine,and completed online teaching resource recommendation.The experimental results show that the average absolute error of this method is low,better than the control group,and has reliability.
作者
李党恩
LI Dangen(Xiangcheng Secondary Schools,Xiangcheng Henan 466200,China)
出处
《信息与电脑》
2024年第1期49-51,共3页
Information & Computer
关键词
免疫进化算法
计算机课程
线上教学
资源推荐
immune evolutionary algorithm
computer courses
online teaching
resource recommendation