Optimized LSTM Networks with Improved PSO for the Teaching Quality Evaluation Model of Physical Education

Abstract

Effective teaching behavior in physical education has an important impact on the quality of classroom teaching. To overcome the shortcomings in the existing university teaching quality assessment procedure, this paper designs an evaluation model for physical education departments based on long short-term memory networks (LSTM) with the improved particle swarm optimization (PSO). The model is constructed by analyzing the connotation and index system of teacher education teaching quality and constructing a fan-leaf structure model of teacher education teaching quality. Then, an improved PSO-LSTM model is proposed to train the teaching samples. The evaluation model applies the improved LSTM model and optimizes the network structure by dynamically adjusting the learning rate. The model is then optimized for the number of neurons and iterations of the network using the improved PSO. The results of the experiment indicate that the proposed model is effective in evaluating the quality of physical education. Moreover, the model analysis’ accuracy has greatly improved. This helps teachers have a comprehensive understanding of classroom dynamics and improve their professional competence and classroom teaching quality.

An Optimized LSTM Neural Network for Accurate Estimation of Software Development Effort

“…The PSO method is characterized by a fast search speed, easy convergence, and great efficiency. Starting from this aspect, the PSO method combined with LSTM has been applied in many fields, such as: stock forecast [46], smart agriculture [47], financial risk [48], and teaching quality [49].…”

A Novel Method of Teaching Quality Monitoring and Evaluation from the Perspective of Educational Balance

“…In such circumstances, researching the problem of teaching quality monitoring and evaluation from the perspective of educational balance has become particularly important [4][5][6][7][8][9][10][11]. As society is posing increasingly higher requirements on education equity and quality, educators are facing greater challenges, and how to improve educational quality on the premise of ensuring education equity has been regarded as a very important issue in education research [12][13][14][15][16][17]. Exploring the problem of teaching quality monitoring and evaluation from the perspective of educational balance can help educators and policy makers discover educational inequality problems, thereby promoting fair allocation of educational resources and opportunities [18][19][20][21][22][23].…”

Retracted: Optimized LSTM Networks with Improved PSO for the Teaching Quality Evaluation Model of Physical Education

“…Tis article has been retracted by Hindawi following an investigation undertaken by the publisher [1]. Tis investigation has uncovered evidence of one or more of the following indicators of systematic manipulation of the publication process:…”