Comprehensive Evaluation Method of Teaching Effect Based on Particle Swarm Optimization Neural Network Model
The important role of teaching evaluation system is embodied in: starting from the teaching goal and the vocational education teaching activities. This paper studies the optimization algorithm and optimization system, it not only makes the algorithm involve basic mathematical operations, and the com...
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| Format: | Article |
| Language: | English |
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Wiley
2022-01-01
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| Series: | Discrete Dynamics in Nature and Society |
| Online Access: | http://dx.doi.org/10.1155/2022/8525531 |
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| _version_ | 1849414188638666752 |
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| author | Heng Cao Qianhui Gao |
| author_facet | Heng Cao Qianhui Gao |
| author_sort | Heng Cao |
| collection | DOAJ |
| description | The important role of teaching evaluation system is embodied in: starting from the teaching goal and the vocational education teaching activities. This paper studies the optimization algorithm and optimization system, it not only makes the algorithm involve basic mathematical operations, and the computer support required for the data processing process is not high, but it also improves the evaluation of the degree of optimization. In view of these characteristics, this paper has conducted in-depth research to fully prove the feasibility and superiority of the content of this article. The specific summary is as follows: (1) Introduced the design concept of particle swarm optimization teaching evaluation system. (2) The use of object-oriented programming algorithms makes it easier for the algorithm to find an entry point, solve practical problems, and optimize the reusability of the algorithm method. (3) Particle swarm optimization based on quantum behavior, adjusting parameter values, the highest and the lowest, greatly reduces the difficulty of program parameter adjustment. (4) In terms of operation, it can quickly and efficiently complete the maintenance of teacher teaching information, evaluation relationship management of teacher teaching quality evaluation, evaluation content management, student evaluation, supervision evaluation, college leadership evaluation, evaluation performance management, and other operations. The interface is extremely humane. It adopts a web-style tour method. There are many types of functions, and the system includes common functions required for general teacher teaching information management and quality evaluation, and while providing various functions, it closely integrates the various actual needs of the college. The security performance is good. The system provides user name and password verification, which improves the security of the system. Database management is convenient and fast, providing a database-friendly management interface, and timely and accurate query. (5) This system adopts an object-oriented development method. During the development process, full consideration of the user’s needs enabled the system to have powerful functions and streamlined procedures. In the end, this application software basically completed the goals required by the requirements analysis. |
| format | Article |
| id | doaj-art-67f2afd20dda46c681ed58401ae34be4 |
| institution | Kabale University |
| issn | 1607-887X |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Discrete Dynamics in Nature and Society |
| spelling | doaj-art-67f2afd20dda46c681ed58401ae34be42025-08-20T03:33:54ZengWileyDiscrete Dynamics in Nature and Society1607-887X2022-01-01202210.1155/2022/8525531Comprehensive Evaluation Method of Teaching Effect Based on Particle Swarm Optimization Neural Network ModelHeng Cao0Qianhui Gao1School of Political Science and LawCollege of Foreign LanguagesThe important role of teaching evaluation system is embodied in: starting from the teaching goal and the vocational education teaching activities. This paper studies the optimization algorithm and optimization system, it not only makes the algorithm involve basic mathematical operations, and the computer support required for the data processing process is not high, but it also improves the evaluation of the degree of optimization. In view of these characteristics, this paper has conducted in-depth research to fully prove the feasibility and superiority of the content of this article. The specific summary is as follows: (1) Introduced the design concept of particle swarm optimization teaching evaluation system. (2) The use of object-oriented programming algorithms makes it easier for the algorithm to find an entry point, solve practical problems, and optimize the reusability of the algorithm method. (3) Particle swarm optimization based on quantum behavior, adjusting parameter values, the highest and the lowest, greatly reduces the difficulty of program parameter adjustment. (4) In terms of operation, it can quickly and efficiently complete the maintenance of teacher teaching information, evaluation relationship management of teacher teaching quality evaluation, evaluation content management, student evaluation, supervision evaluation, college leadership evaluation, evaluation performance management, and other operations. The interface is extremely humane. It adopts a web-style tour method. There are many types of functions, and the system includes common functions required for general teacher teaching information management and quality evaluation, and while providing various functions, it closely integrates the various actual needs of the college. The security performance is good. The system provides user name and password verification, which improves the security of the system. Database management is convenient and fast, providing a database-friendly management interface, and timely and accurate query. (5) This system adopts an object-oriented development method. During the development process, full consideration of the user’s needs enabled the system to have powerful functions and streamlined procedures. In the end, this application software basically completed the goals required by the requirements analysis.http://dx.doi.org/10.1155/2022/8525531 |
| spellingShingle | Heng Cao Qianhui Gao Comprehensive Evaluation Method of Teaching Effect Based on Particle Swarm Optimization Neural Network Model Discrete Dynamics in Nature and Society |
| title | Comprehensive Evaluation Method of Teaching Effect Based on Particle Swarm Optimization Neural Network Model |
| title_full | Comprehensive Evaluation Method of Teaching Effect Based on Particle Swarm Optimization Neural Network Model |
| title_fullStr | Comprehensive Evaluation Method of Teaching Effect Based on Particle Swarm Optimization Neural Network Model |
| title_full_unstemmed | Comprehensive Evaluation Method of Teaching Effect Based on Particle Swarm Optimization Neural Network Model |
| title_short | Comprehensive Evaluation Method of Teaching Effect Based on Particle Swarm Optimization Neural Network Model |
| title_sort | comprehensive evaluation method of teaching effect based on particle swarm optimization neural network model |
| url | http://dx.doi.org/10.1155/2022/8525531 |
| work_keys_str_mv | AT hengcao comprehensiveevaluationmethodofteachingeffectbasedonparticleswarmoptimizationneuralnetworkmodel AT qianhuigao comprehensiveevaluationmethodofteachingeffectbasedonparticleswarmoptimizationneuralnetworkmodel |