Affiliation:
1. School of Physical Education, Northeast Normal University, Changchun 130024, Jilin, China
2. School of Sports Health and Technology, Jilin Institute of Physical Education, Changchun 130022, Jilin, China
Abstract
The purpose of physical education (PE) teaching in general institutions of higher education is to enhance students’ fitness and mental quality, which in turn improves students’ physiological ability and sports skills and finally enables students to develop healthy lifestyle. The conventional assessment of students’ PE instruction only focuses on the evaluation of their body condition and sports skills, ignoring the cultivation of their mental and physical development and healthy living habits and evaluating students with a relatively single evaluation standard, lacking the cultivation of “teaching to suit the individual.” At present, the evaluation method of instructional quality of PE teachers in China’s institutions of higher education is relatively single and dominated by qualitative methods, which cannot be applied to instructional innovation. The evaluation of physical education teaching quality plays an important role in building a complete and effective teaching process, which plays an important role in judging whether the formulation of physical education teaching objectives and principles is reasonable, and the evaluation of students’ learning behavior and learning effect. This article takes the relevant theory of scientific knowledge graph as the guiding idea, based on the current situation of PE teaching assessment in institutions of higher education, and employs experimental research methods to conduct empirical studies on 10 universities in Jilin Province. The empirical findings suggest that students’ satisfaction with the new evaluation method is 83.68 points on average, and the accuracy rate is 84.54 points on average; teachers’ satisfaction with the new evaluation method is 86.12 points on average, and the accuracy rate is 88.4 points on average.
Subject
Computer Networks and Communications,Computer Science Applications
Cited by
1 articles.
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1. Multi-Source Education Knowledge Graph Construction and Fusion for College Curricula;2023 IEEE International Conference on Advanced Learning Technologies (ICALT);2023-07