基于PSO-BP算法的弹性力学课程教学质量评估模型研究  

Establishment and Analysis of PSO-BP Model for Evaluating the Teaching Quality of“Elasticity Mechanics”Course

作　　者：刘小虎 唐彬[1,2] 王雪松 熊礼军 纪帅杰 LIU Xiaohu;TANG Bin;WANG Xuesong;XIONG Lijun;JI Shuaijie(School of Civil Engineering and Architecture,Anhui University of Science and Technology,Huainan 232001,China;Engineering Research Center of the Ministry of Education for Mining and Underground Engineering,Anhui University of Science and Technology,Huainan 232001,China;College of Civil and Hydraulic Engineering,Hefei University of Technology,Hefei 230009,China)

机构地区：[1]安徽理工大学土木建筑学院,安徽淮南232001 [2]安徽理工大学矿山地下工程教育部工程研究中心,安徽淮南232001 [3]合肥工业大学土木与水利工程学院,安徽合肥230009

出　　处：《长春师范大学学报》2024年第8期86-92,共7页Journal of Changchun Normal University

基　　金：教育部产学合作协同育人项目“地方应用型高校基于BIM技术的智能建造专业人才培养模式与实践基地建设”(231000641104411);安徽省教学研究重点项目“实践与创新能力导向的土木工程专业多主体协同培养模式研究”(2022jyxm400);安徽高校自然科学研究项目“热力耦合作用深井巷道围岩树脂锚固体失锚及群锚协同变形控制机理研究”(2022AH050814)。

摘　　要：国家人才培养的战略核心是提高教育教学质量,构建切实可行的教学质量评价体系,优选合理的质量评估方法十分必要。本文以本科弹性力学课程的教学质量评价为研究对象,建立包括教师个人素质及教学内容、方法、效果的4个一级指标及19个二级指标的教学效果评价体系,并对1082名本科生进行数据调研,通过对调研数据的信度及效度分析,证明了评价系统因素选择合理有效;建立基于粒子群算法优化的神经网络分析方法(PSO-BP组合算法),利用调研数据进行训练分析,得出组合算法平均评价精度高于BP神经网络算法,可以更准确有效地进行弹性力学课程教育质量的评估,以期为本科课程教学质量的考核评价提供新思路。Teaching quality is the core element of talent cultivation,and it is necessary to construct a practical and feasible teaching quality evaluation system and select reasonable methods.This article takes the teaching quality evaluation of the undergraduate course“Elastic Mechanics”as the research object.Firstly,a teaching effectiveness evaluation system is established,which includes 4 first-level and 19 second-level indicators such as teacher personal quality,teaching content,teaching methods,and teaching effectiveness.A data survey was conducted on 1082 undergraduates,and the reliability and validity analysis of the survey data proved that the selection of evaluation system factors is reasonable and effective;Secondly,a neural network analysis method based on particle swarm optimization(PSO-BP combination algorithm)was established,and training and analysis were conducted by using survey data.It was found that the average evaluation accuracy of the combination algorithm was higher than that of the BP neural network algorithm,which can evaluate the education quality of the“Elasticity Mechanics”course more accurately and effectively.The research provides a new approach for the assessment and evaluation of undergraduate course teaching quality.

关 键 词：教学质量评价体系 信度分析 效度分析 PSO-BP评价模型 案例分析 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术] G642.0[自动化与计算机技术—计算机科学与技术]