Establishment and Analysis of PSO-BP Model for Evaluating the Teaching Quality of"Elasticity Mechanics"Course
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-lev-el and 19 second-level indicators such as teacher personal quality,teaching content,teaching methods,and teaching effectiveness.A data survey was conducted on 1 082 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.
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