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Interactive Effect Evaluation Model based on Neural Network in the Guiding of Online ideological Education

机译:基于神经网络的互动效应评估模型在线思想教育指导

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Artificial intelligence technology has become the main driving force of behavior and moral education, and has promoted the improvement and reform of ideological and political network education. In the network teachingplatform, teaching quality has always been an important part of university teaching management, which also controls the lifeline of the school. At the same time, teaching quality evaluation can reasonably evaluate the teaching effect of a teacher or a course, which is conducive to the teaching reform of teachers and the overall teaching planning of schools. Therefore, an accurate assessment of the teaching quality of colleges and universities has important theoretical and practical value. Aiming at the problems existing in the process of education quality evaluation and progress the accuracy of teaching quality evaluation, this paper proposes an online teaching quality evaluation system based on neural network. First of all, the evaluation system constructed in this paper collects a large amount of historical data on the quality of university teaching and preprocesses these data. Finally, a learning sample for university teaching quality evaluation is constructed in order to provide further help.
机译:人工智能技术已成为行为和道德教育的主要推动力,促进了思想政治网络教育的改善和改革。在网络教学规范中,教学质量一直是大学教学管理的重要组成部分,这也控制了学校的生命线。与此同时,教学质量评估可以合理地评估教师或课程的教学效果,这有利于教师教学改革和学校的整体教学规划。因此,对高校教学质量的准确评估具有重要的理论和实践价值。针对教育质量评估过程中存在的问题,进展教学质量评价的准确性,本文提出了基于神经网络的在线教学质量评估系统。首先,本文建造的评估系统收集了大量关于大学教学质量的历史数据,并预处理这些数据。最后,建造了大学教学质量评估的学习样本,以便提供进一步的帮助。

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