Construction of Multi-Object Evaluation Index Tutoring System for Physical Education and Teaching Based on Intelligent CAD.
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| Title: | Construction of Multi-Object Evaluation Index Tutoring System for Physical Education and Teaching Based on Intelligent CAD. |
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| Authors: | Weisong Bu1 weisong1593992@126.com |
| Source: | Computer-Aided Design & Applications. 2025 Special Issue, Vol. 22, p211-223. 13p. |
| Subjects: | Effective teaching, Big data, Physical education, Graduate students, Statistical sampling |
| Abstract: | In the BD (big data) era, compared with the past, what we can collect is not random samples but all data; that is, we adopt the full data mode instead of relying on only a small part of the data. Based on BD theory, this paper constructs a scientific and reasonable MOEIS (Multi-object evaluation index system) for physical education and teaching and analyzes the construction level of practice base in combination with empirical research. In this study, the Ridit analysis method is used to screen the evaluation indexes, which objectively ensures the scientificity and rationality of the existing problems and promotion strategies of the index system for the practice base construction. Communication between sites is realized through serialization, a global FP-tree is constructed, and a global FP-tree is mined to form rules. The results show that the accuracy of the algorithm is increasing, and it tends to be stable after the number of iterations increases to 450, and the final average accuracy reaches 96.52%. The designed algorithm is used to integrate and analyze the data to achieve the evaluation goal of teaching quality. [ABSTRACT FROM AUTHOR] |
| Copyright of Computer-Aided Design & Applications is the property of Computer-Aided Design & Applications and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 186758361 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Construction of Multi-Object Evaluation Index Tutoring System for Physical Education and Teaching Based on Intelligent CAD. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Weisong+Bu%22">Weisong Bu</searchLink><relatesTo>1</relatesTo><i> weisong1593992@126.com</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Computer-Aided+Design+%26+Applications%22">Computer-Aided Design & Applications</searchLink>. 2025 Special Issue, Vol. 22, p211-223. 13p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Effective+teaching%22">Effective teaching</searchLink><br /><searchLink fieldCode="DE" term="%22Big+data%22">Big data</searchLink><br /><searchLink fieldCode="DE" term="%22Physical+education%22">Physical education</searchLink><br /><searchLink fieldCode="DE" term="%22Graduate+students%22">Graduate students</searchLink><br /><searchLink fieldCode="DE" term="%22Statistical+sampling%22">Statistical sampling</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: In the BD (big data) era, compared with the past, what we can collect is not random samples but all data; that is, we adopt the full data mode instead of relying on only a small part of the data. Based on BD theory, this paper constructs a scientific and reasonable MOEIS (Multi-object evaluation index system) for physical education and teaching and analyzes the construction level of practice base in combination with empirical research. In this study, the Ridit analysis method is used to screen the evaluation indexes, which objectively ensures the scientificity and rationality of the existing problems and promotion strategies of the index system for the practice base construction. Communication between sites is realized through serialization, a global FP-tree is constructed, and a global FP-tree is mined to form rules. The results show that the accuracy of the algorithm is increasing, and it tends to be stable after the number of iterations increases to 450, and the final average accuracy reaches 96.52%. The designed algorithm is used to integrate and analyze the data to achieve the evaluation goal of teaching quality. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Computer-Aided Design & Applications is the property of Computer-Aided Design & Applications and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.14733/cadaps.2025.S8.211-223 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 13 StartPage: 211 Subjects: – SubjectFull: Effective teaching Type: general – SubjectFull: Big data Type: general – SubjectFull: Physical education Type: general – SubjectFull: Graduate students Type: general – SubjectFull: Statistical sampling Type: general Titles: – TitleFull: Construction of Multi-Object Evaluation Index Tutoring System for Physical Education and Teaching Based on Intelligent CAD. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Weisong Bu IsPartOfRelationships: – BibEntity: Dates: – D: 09 M: 02 Text: 2025 Special Issue Type: published Y: 2025 Identifiers: – Type: issn-print Value: 16864360 Numbering: – Type: volume Value: 22 Titles: – TitleFull: Computer-Aided Design & Applications Type: main |
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