基于注意力机制神经网络的数学教学质量预测

A neural network mathematics teaching quality prediction based on attention mechanism

数学教学质量评价是一个多因素、多层次的复杂过程,为提升数学教学质量评估的准确性和效率,文中提出一种基于注意力机制优化的神经网络评估预测方法。在数学教学评价一级指标与二级指标之间构建注意力增强层,提取重要的指标特征,并利用提取的特征构建神经网络评估预测模型。仿真结果表明,所提方法具有模型结构高效、预测准确度高的效果,在教学管理中具有一定的应用价值。

Mathematics teaching quality evaluation is a multi-factor and multi-level complex process.In order to improve the accuracy and efficiency of mathematics teaching quality evaluation,a neural network evaluation and prediction method based on attention mechanism optimization is proposed.The attention enhancement layer is constructed between the primary index and the secondary index of mathematics teaching evaluation,and the important index features are extracted.The neural network evaluation and prediction model is constructed by means of the extracted features.The simulation results show that the proposed method has the effect of high efficiency model structure and high prediction accuracy,and has a certain application value in teaching management.