Classification Method of Aerobics Course Online Teaching Resources Based on Artificial Intelligence Technology

Zhao, Hua; Zhang, Xin; Wang, Caixia; Yuan, Weiyu

doi:10.1155/2022/8915705

Cited by 3 publications

(2 citation statements)

References 12 publications

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“…In addition, Zhao, H. et al addressed the problem of unbalanced and insufficient distribution of online resources in aerobics courses, combined artificial intelligence technology with aerobics online resource courses, realized online resource classification of aerobics courses, and constructed an intelligent course resource management system [13]. Bai, X. J. and Li, J. J. pointed out that teachers' realization of management and organization of massive teaching resources in education informatization can rely on an accurate and efficient intelligent search system and introduced the design ideas and implementation steps of a search engine based on artificial intelligence [14].…”

Section: Introductionmentioning

confidence: 99%

The Construction of Informatization System of Internet Technology Mathematics Teacher Education Course

2024

Applied Mathematics and Nonlinear Sciences

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This paper focuses on constructing a regional digital educational resource sharing platform. It applies optimized ant colony clustering technology to support the platform’s personalized service to achieve accurate distribution of educational resources. The research subjects were undergraduate and graduate students majoring in mathematics in teacher training, and by comparing their teaching abilities before and after using and not using the platform, it was found that the average scores of students using the platform were significantly higher than those of students who did not use the platform on each evaluation factor. Undergraduate students’ information literacy competence improved with the academic year, with first-year students’ scores between 20 and 50, while senior students’ scores between 70 and 100. At the graduate level, the difference between first-year graduate students and junior undergraduates was significant, but the difference with senior undergraduates was slight (p-values of 0.042 and 0.053, respectively). The digital education resource sharing platform effectively improved the teaching ability of teacher students. However, most of the students lacked experience in informatization practice activities.

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Section: Introductionmentioning

confidence: 99%

The Construction of Informatization System of Internet Technology Mathematics Teacher Education Course

2024

Applied Mathematics and Nonlinear Sciences

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“…Artificial intelligence is based on big data and analyzes and processes data through complex algorithms such as computer vision, speech recognition, natural language processing, and so on [1][2]. As long as the big data is large enough, the subject can be accurately judged.…”

Section: Introductionmentioning

confidence: 99%

Intelligent Translation System Aiding High-Quality Writing in English in the Age of the Internet

Wang,

Wang

et al. 2024

Applied Mathematics and Nonlinear Sciences

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This study focuses on applying intelligent translation systems in assisting high-quality English writing in the Internet era. The study analyzes statistical machine translation techniques, especially N-gram language modeling and word alignment techniques, and their crucial role in translation quality improvement. In English writing, the intelligent translation system significantly improves the quality of students’ Writing through word block translation. By analyzing 320 students, the mean value of self-efficacy in writing skills of students in the high-quality writing group was 3.78, significantly higher than that of the low-quality group, which was 2.82. After the experiment, 0.57 students indicated that they would improve their English writing vocabulary with the aid of the Intelligent Translation System, which showed the potential of the Intelligent Translation System to enhance students’ interest in and autonomy in Writing. Average distribution analysis shows that word block usage positively correlates with writing performance, with an R Square value of 0.6726. The intelligent translation system improves students’ English writing and enhances their self-efficacy, which is of great significance to English teaching.

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Investigation on the Online-Offline Combined Instruction of Theoretical Mechanics

Wang

2023

Proceedings of the 3rd International Conference on Internet, Education and Information Technology (IEIT 2023)

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Classification Method of Aerobics Course Online Teaching Resources Based on Artificial Intelligence Technology

Cited by 3 publications

References 12 publications

The Construction of Informatization System of Internet Technology Mathematics Teacher Education Course

The Construction of Informatization System of Internet Technology Mathematics Teacher Education Course

Intelligent Translation System Aiding High-Quality Writing in English in the Age of the Internet

Investigation on the Online-Offline Combined Instruction of Theoretical Mechanics

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