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Design and Application of Artificial Intelligence Technology-Driven Education and Teaching System in Universities

In recent years, many colleges and universities have been experimenting and exploring the evaluation of education and teaching system and have achieved certain results. In order to understand the quality of education and teaching system in colleges and universities, to improve the school conditions,...

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Autor principal: Zhang, Fan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9482482/
https://www.ncbi.nlm.nih.gov/pubmed/36124170
http://dx.doi.org/10.1155/2022/8503239
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author Zhang, Fan
author_facet Zhang, Fan
author_sort Zhang, Fan
collection PubMed
description In recent years, many colleges and universities have been experimenting and exploring the evaluation of education and teaching system and have achieved certain results. In order to understand the quality of education and teaching system in colleges and universities, to improve the school conditions, and to promote the reform of teaching management, methods and means of evaluating the quality of education and teaching system in general higher education institutions are needed. Modern university education and teaching system should realize the combination of classroom teaching and practice teaching, and education and teaching system adopts the mode of the combination of on-campus practice and off-campus practice, so the design of teaching system is the key to the quality of teaching. Aiming at the current problem that talents cultivated by colleges and universities can hardly meet social demands in terms of engineering practice ability, innovation ability, and international competitiveness, this paper proposes the evaluation and adjustment of college education and teaching system driven by algorithms based on artificial intelligence (AI). By designing the teaching system of talent cultivation, and then establishing a quantitative and controllable quality assurance system for practical teaching, a new mechanism for the design of university education system is further explored. Specifically, the framework of the instructional system is built with the aid of an actor-critic algorithm in reinforcement learning, which assists in the design of the university education system, allowing students to truly understand, master and flex their knowledge, and strengthening the correct understanding of the students' internal learning mechanisms. The practical teaching effect shows that the AI-driven instructional designs are more popular with contemporary students and have higher evaluation scores. The numerical experiment results also show the stability of the instructional design, overcoming the drawbacks of traditional manual subjectivity in the design. AI-driven college education and teaching system is conducive to cultivating students' solid technical theoretical foundation. Therefore, through the AI-driven teaching system to strengthen the training of practical ability, so as to comprehensively improve students' comprehensive quality and innovation ability.
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spelling pubmed-94824822022-09-18 Design and Application of Artificial Intelligence Technology-Driven Education and Teaching System in Universities Zhang, Fan Comput Math Methods Med Research Article In recent years, many colleges and universities have been experimenting and exploring the evaluation of education and teaching system and have achieved certain results. In order to understand the quality of education and teaching system in colleges and universities, to improve the school conditions, and to promote the reform of teaching management, methods and means of evaluating the quality of education and teaching system in general higher education institutions are needed. Modern university education and teaching system should realize the combination of classroom teaching and practice teaching, and education and teaching system adopts the mode of the combination of on-campus practice and off-campus practice, so the design of teaching system is the key to the quality of teaching. Aiming at the current problem that talents cultivated by colleges and universities can hardly meet social demands in terms of engineering practice ability, innovation ability, and international competitiveness, this paper proposes the evaluation and adjustment of college education and teaching system driven by algorithms based on artificial intelligence (AI). By designing the teaching system of talent cultivation, and then establishing a quantitative and controllable quality assurance system for practical teaching, a new mechanism for the design of university education system is further explored. Specifically, the framework of the instructional system is built with the aid of an actor-critic algorithm in reinforcement learning, which assists in the design of the university education system, allowing students to truly understand, master and flex their knowledge, and strengthening the correct understanding of the students' internal learning mechanisms. The practical teaching effect shows that the AI-driven instructional designs are more popular with contemporary students and have higher evaluation scores. The numerical experiment results also show the stability of the instructional design, overcoming the drawbacks of traditional manual subjectivity in the design. AI-driven college education and teaching system is conducive to cultivating students' solid technical theoretical foundation. Therefore, through the AI-driven teaching system to strengthen the training of practical ability, so as to comprehensively improve students' comprehensive quality and innovation ability. Hindawi 2022-09-10 /pmc/articles/PMC9482482/ /pubmed/36124170 http://dx.doi.org/10.1155/2022/8503239 Text en Copyright © 2022 Fan Zhang. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Zhang, Fan
Design and Application of Artificial Intelligence Technology-Driven Education and Teaching System in Universities
title Design and Application of Artificial Intelligence Technology-Driven Education and Teaching System in Universities
title_full Design and Application of Artificial Intelligence Technology-Driven Education and Teaching System in Universities
title_fullStr Design and Application of Artificial Intelligence Technology-Driven Education and Teaching System in Universities
title_full_unstemmed Design and Application of Artificial Intelligence Technology-Driven Education and Teaching System in Universities
title_short Design and Application of Artificial Intelligence Technology-Driven Education and Teaching System in Universities
title_sort design and application of artificial intelligence technology-driven education and teaching system in universities
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9482482/
https://www.ncbi.nlm.nih.gov/pubmed/36124170
http://dx.doi.org/10.1155/2022/8503239
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