Research and Practice of Digital Training Model Based on Artificial Intelligence Technology
There are fatal defects in both the simulation practical training model and the actual combat practical training model. This paper firstly takes artificial intelligence technology as the basis for the construction of digital wisdom training classrooms and constructs the artificial intelligence digit...
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| Format: | Article |
| Language: | English |
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Sciendo
2024-01-01
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| Series: | Applied Mathematics and Nonlinear Sciences |
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| Online Access: | https://doi.org/10.2478/amns.2023.2.01507 |
| _version_ | 1797340589166952448 |
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| author | Duan Haipeng |
| author_facet | Duan Haipeng |
| author_sort | Duan Haipeng |
| collection | DOAJ |
| description | There are fatal defects in both the simulation practical training model and the actual combat practical training model. This paper firstly takes artificial intelligence technology as the basis for the construction of digital wisdom training classrooms and constructs the artificial intelligence digital wisdom training model. Secondly, it combines multi-factor reasoning and integrated clustering ideas to portray the vocational ability portrait of the learner group in the model and realizes the recommendation of students’ personalized training teaching resources with the learner’s portrait. Finally, the effectiveness is verified through the application practice of the digital training model for AI in higher vocational colleges. The results show that the use of multi-factor reasoning and integrated clustering can realize the accurate portrayal of the learner portrait of the digital intelligent training students and the difference between the loss value of the training and validation of the personalized recommendation model based on the learner portrait is about 0.01, and the average time consumed is about 1.05s. The digital training model supported by artificial intelligence technology can help students establish higher-order scientific thinking, promote students’ mastery of skills, and fully compensate for the shortcomings of the existing practical training model. |
| first_indexed | 2024-03-08T10:05:21Z |
| format | Article |
| id | doaj.art-fd0e4a2d5a6c470393fc3016925d671b |
| institution | Directory Open Access Journal |
| issn | 2444-8656 |
| language | English |
| last_indexed | 2024-03-08T10:05:21Z |
| publishDate | 2024-01-01 |
| publisher | Sciendo |
| record_format | Article |
| series | Applied Mathematics and Nonlinear Sciences |
| spelling | doaj.art-fd0e4a2d5a6c470393fc3016925d671b2024-01-29T08:52:43ZengSciendoApplied Mathematics and Nonlinear Sciences2444-86562024-01-019110.2478/amns.2023.2.01507Research and Practice of Digital Training Model Based on Artificial Intelligence TechnologyDuan Haipeng01Dean’s Office, China People’s Police University, Langfang, Hebei, 065000, China.There are fatal defects in both the simulation practical training model and the actual combat practical training model. This paper firstly takes artificial intelligence technology as the basis for the construction of digital wisdom training classrooms and constructs the artificial intelligence digital wisdom training model. Secondly, it combines multi-factor reasoning and integrated clustering ideas to portray the vocational ability portrait of the learner group in the model and realizes the recommendation of students’ personalized training teaching resources with the learner’s portrait. Finally, the effectiveness is verified through the application practice of the digital training model for AI in higher vocational colleges. The results show that the use of multi-factor reasoning and integrated clustering can realize the accurate portrayal of the learner portrait of the digital intelligent training students and the difference between the loss value of the training and validation of the personalized recommendation model based on the learner portrait is about 0.01, and the average time consumed is about 1.05s. The digital training model supported by artificial intelligence technology can help students establish higher-order scientific thinking, promote students’ mastery of skills, and fully compensate for the shortcomings of the existing practical training model.https://doi.org/10.2478/amns.2023.2.01507digitizationintegrated clusteringpersonalized recommendationslearner profilingmodes of operation and training68t01 |
| spellingShingle | Duan Haipeng Research and Practice of Digital Training Model Based on Artificial Intelligence Technology Applied Mathematics and Nonlinear Sciences digitization integrated clustering personalized recommendations learner profiling modes of operation and training 68t01 |
| title | Research and Practice of Digital Training Model Based on Artificial Intelligence Technology |
| title_full | Research and Practice of Digital Training Model Based on Artificial Intelligence Technology |
| title_fullStr | Research and Practice of Digital Training Model Based on Artificial Intelligence Technology |
| title_full_unstemmed | Research and Practice of Digital Training Model Based on Artificial Intelligence Technology |
| title_short | Research and Practice of Digital Training Model Based on Artificial Intelligence Technology |
| title_sort | research and practice of digital training model based on artificial intelligence technology |
| topic | digitization integrated clustering personalized recommendations learner profiling modes of operation and training 68t01 |
| url | https://doi.org/10.2478/amns.2023.2.01507 |
| work_keys_str_mv | AT duanhaipeng researchandpracticeofdigitaltrainingmodelbasedonartificialintelligencetechnology |