Improving the effectiveness of traditional education based on computer artificial intelligence and neural network system

Ma, Wei; Zhao, Xuesi; Guo, Yunfei

doi:10.3233/jifs-189249

Cited by 14 publications

(7 citation statements)

References 16 publications

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“…It is an efficient teaching mode in which schools use computer networks as the main means to implement information-based online education for students, and it is also an important form of distance teaching. Compared with the traditional teaching mode, online teaching can better cultivate students' abilities of information acquisition, processing, analysis, innovation, utilization and communication [ 7 ]. The network teaching mode is shown in Figure 1 .…”

Section: Intelligent Teaching Methods For Product Design Majorsmentioning

confidence: 99%

Intelligent Network Teaching of Product Design Specialty Based on Video Image Processing

Gao

Lee

2022

Applied Bionics and Biomechanics

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The product design major was formally established in 2011 and has been an important part of Chinese art education since then. At the same time, it has laid a solid foundation for the development of China’s higher education. Therefore, the product design major occupies an important position in China’s higher education and plays an irreplaceable role in cultivating industrial design talents for the country. With the continuous development and progress of national education, the teaching of product design is also constantly innovating, in order to better improve the teaching effect of product design and cultivate more product design professionals for the country. The purpose of this paper is to study the teaching of product design major based on intelligent network teaching, establish an intelligent network teaching system, and carry out intelligent network teaching experiment of product design major based on this system. The experiment concluded that the overall satisfaction of the students majoring in product design on the intelligent network teaching reached 82%, and the intelligent network teaching mode also increased the outstanding performance rate of the students majoring in product design by 30%.

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Section: Intelligent Teaching Methods For Product Design Majorsmentioning

confidence: 99%

Intelligent Network Teaching of Product Design Specialty Based on Video Image Processing

Gao

Lee

2022

Applied Bionics and Biomechanics

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“…In order to improve teaching intelligence, Ma w et al constructed an auxiliary teaching system based on computer artificial intelligence and neural network on the basis of traditional teaching mode. The results show that the system constructed in this paper has good performance and can provide a theoretical reference for related research [18].…”

Section: Related Workmentioning

confidence: 77%

Application of Exercise-Correlated Knowledge Proficiency Tracing Model based on Multiple Learning Objectives in English Teaching Curriculum Resources

Yang

Alabool²

2022

Int. J. Emerg. Technol. Learn.

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The advanced invention of information technology overcomes the limitations of traditional teaching methods. The English-oriented online teaching system not only has rich course resources, but also provides technical support for students’ personalized learning. Therefore, using big data mining techniques may help to analyze students deeply and develop personalized study plans and content. Aiming at the deficiencies of online English teaching platform in the task of knowledge level diagnosis, an Exercise-correlated Knowledge Proficiency Tracing (EKPT) model that integrates multi-objective learning factors is proposed. The learning model maps students and practice information into meaningful knowledge space through practice and knowledge-related information, and quantifies students’ knowledge learning process through forgetting curve theory and learning curve theory. The experimental test results show that the EKPT model has the best performance in knowledge ability prediction and learning performance prediction. The mean absolute error (MAE) values of the EKPT model in the English1 dataset, English2 dataset, written auxiliary dataset and adaptive dataset are 0.32, 0.25, 0.39 and 0.34, respectively, with the smallest error. Therefore, the proposed EKPT model meets the requirements of English online learning. The research content has important reference value for the construction of online English teaching platform.

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“…Under the guidance of intelligent technology, the intelligent classroom is one of the keys to focusing on students' development and cultivating students' comprehensive quality, which is to cultivate students' innovative spirit, give full play to their personalities, enrich and open students' intelligence, and build students' wisdom and teachers' wisdom together to form a lively classroom teaching [11]. The core concept of the smart classroom is "all for the development of each student" so that each student can participate in the classroom to create a teaching environment of equal communication, comprehensive development, and willingness to innovate.…”

Section: Introductionmentioning

confidence: 99%

A Study of Artificial Intelligence-Assisted Teaching on the Cultivation of Students’ Creative Ability

Li,

Wang,

et al. 2023

Applied Mathematics and Nonlinear Sciences

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This paper first studies the use of artificial intelligence technology in the field of education and explores the realization process of “artificial intelligence + education”. Then, the teaching model of “AI+Education” is constructed from three perspectives: knowledge space, creation space and thinking space. Then, based on the logistic regression method, an analytical model of students’ innovation ability was established, and the parameters of the model were solved according to the data to analyze the causal relationship between the variables. Finally, the regression analysis model was used to analyze the relationship between intelligent assisted teaching and students’ innovative ability, innovative knowledgeability, innovative thinking ability, new learning ability and innovative practice ability. The results show that the correlation coefficients of intelligent-assisted teaching and innovative ability and innovative self-efficacy are 0.703 and 0.639, respectively, and all of them are positively correlated at the level of 10%, which indicates that intelligent-assisted teaching promotes the cultivation of students’ innovative ability.

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Improving the effectiveness of traditional education based on computer artificial intelligence and neural network system

Cited by 14 publications

References 16 publications

Intelligent Network Teaching of Product Design Specialty Based on Video Image Processing

Intelligent Network Teaching of Product Design Specialty Based on Video Image Processing

Application of Exercise-Correlated Knowledge Proficiency Tracing Model based on Multiple Learning Objectives in English Teaching Curriculum Resources

A Study of Artificial Intelligence-Assisted Teaching on the Cultivation of Students’ Creative Ability

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