PRE 发表于 2025-3-26 22:57:18

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有毒 发表于 2025-3-27 04:31:29

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贸易 发表于 2025-3-27 08:26:33

https://doi.org/10.1007/978-981-19-6446-6nd the use of regression equations for big data evaluation, achieved a comprehensive evaluation of the satisfaction of course resources for automobile maintenance majors. The experimental data shows that the reliability of the proposed model is 15.73% higher than that of the conventional model, and the evaluation accuracy is higher.

LAST 发表于 2025-3-27 10:17:22

Richard J. Herring,Anthony M. Santomeroasurement. Simulation experiments are designed to compare the effectiveness of the analysis method based on artificial intelligence and the traditional analysis method in the teaching stage of physical education.

轮流 发表于 2025-3-27 15:04:00

The Satisfaction Evaluation Model of Course Resources of Automobile Maintenance Major Based on Big Dnd the use of regression equations for big data evaluation, achieved a comprehensive evaluation of the satisfaction of course resources for automobile maintenance majors. The experimental data shows that the reliability of the proposed model is 15.73% higher than that of the conventional model, and the evaluation accuracy is higher.

Frenetic 发表于 2025-3-27 19:55:15

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Juvenile 发表于 2025-3-28 01:34:46

1867-8211 ch as artificial intelligence and big data. The theme of eLEOT 2020 was “Education with New Generation Information Technology”. .978-3-030-63951-8978-3-030-63952-5Series ISSN 1867-8211 Series E-ISSN 1867-822X

acolyte 发表于 2025-3-28 03:30:31

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cloture 发表于 2025-3-28 09:34:08

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Evolve 发表于 2025-3-28 10:30:30

https://doi.org/10.1007/978-3-8350-9138-2alents cultivation mode, and points out the existing problems, and puts forward countermeasures and solutions. Through empirical research, it provides useful exploration and reference for the talents cultivation of design Sino-foreign cooperative education projects in Local Engineering Colleges.
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查看完整版本: Titlebook: e-Learning, e-Education, and Online Training; 6th EAI Internationa Shuai Liu,Guanglu Sun,Weina Fu Conference proceedings 2020 ICST Institut