摘要
音乐教育课程评价局限于学科教学核心因子,忽视学生在教学活动的整体过程,因此,不能全面地反映音乐教育课程对学生的影响。评价应不再局限于教学过程,创新性地将学生的基础学习因子融入进评价指标中,构建新的评价指标体系。提高BP评价模型的精度和收敛速度,采用自适应GA算法结合BP算法的方式,构建一种新的课程评价系统。实验结果中,AGA-BP模型收敛速度较BP模型提高85%,平均误差减少74.57%。验证了该模型的应用价值和此次研究在教育改革中的贡献。
At present,the evaluation of music education curriculum gets limited to the core factors of subject teaching and ignores students in the overall process of teaching activities,so it does not fully refl ect the impact of music education curriculum on students.Therefore,education should not be limited to the teaching process,but innovatively integrate students’basic learning factors into the evaluation index,and construct a new evaluation index system.In order to improve the accuracy and convergence speed of the BP evaluation model,a new curriculum evaluation system is constructed by combining the adaptive GA algorithm with the BP algorithm.In the experimental results,the convergence speed of AGA-BP model is 85%higher than that of BP model,and the average error is reduced by 74.57%.It verifi es the application value of the model and the contribution of this research in education reform.
作者
宋健
Song Jian(Lanzhou City College,Lanzhou 730030,China)
出处
《黑河学院学报》
2023年第9期75-77,90,共4页
Journal of Heihe University
关键词
课程评价
评价指标
BP
自适应GA
course evaluation
evaluation indicators
BP
adaptive GA
