Construction of Multi-Object Evaluation Index Tutoring System for Physical Education and Teaching Based on Intelligent CAD.

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Bibliographic Details
Title:	Construction of Multi-Object Evaluation Index Tutoring System for Physical Education and Teaching Based on Intelligent CAD.
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]
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Database:	Engineering Source

Description
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]
ISSN:	16864360
DOI:	10.14733/cadaps.2025.S8.211-223