The Evaluation of the Innovation Teaching Ability of Physical Education in Colleges and Universities under the Regional Difference

Xiu-mei Wu
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引用次数: 5

Abstract

With the development of economy in our country, the curriculum reform of basic education also in advancing smoothly, China's college sports teaching mode and teaching idea of experiencing a profound change, in constantly improve teaching ability in Colleges and universities in China, policy measures to improve at the same time, the reform encountered a variety of problems are solved, how to solve the contradiction between theory and practice, how to improve our country colleges and universities sports teaching innovation ability, especially in relation to the students' subjective initiative play selection mode of innovation capability and its evaluation and need to more deeper research. In this paper the data analysis basis, application of machine learning algorithm, each regional college physical education course innovation ability evaluation model based on SOM neural network algorithm was established, after the implementation of the course innovation of our country sports teaching to make objective and fair evaluation, develop a good robustness, high precision of teaching ability evaluation model.
区域差异下高校体育创新教学能力评价
随着我国经济的发展,基础教育课程改革也在顺利推进,中国高校体育教学模式和教学理念经历了深刻的变革,在不断提高中国高校教学能力、政策措施不断完善的同时,改革中遇到的各种问题都得到了解决,如何解决理论与实践之间的矛盾,如何提高我国高校体育教学创新能力,特别是涉及到学生主观能动性发挥的创新能力的选择模式及其评价,还需要进行更深入的研究。本文在数据分析的基础上,应用机器学习算法,建立了基于SOM神经网络算法的各区域高校体育课程创新能力评价模型,对我国体育教学实施课程创新后做出客观公正的评价,开发出鲁棒性好、精度高的教学能力评价模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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