Internet of Things has the ability to revolutionize computer-based teaching and assess the quality of teaching at the same time. The assessment of teaching efficiency is hampered by two issues: the evaluation index method (EIS) is insufficient, and the assessment framework is incapable of dealing with complicated fuzzy indexes. To address these issues, the theory of fuzzy stratification from IoT perspective is presented for the first time in this paper. This theory is based on the related theory of fuzzy assessment by measuring the teaching quality evaluation index. Initially, theoretical analysis and model measurement were merged to build a better multiangle EIS for teaching quality. To manage fuzzy indexes, a teaching quality assessment model was developed using both quantitative and qualitative studies. The suggested EIS and fuzzy assessment model can effectively evaluate the standard of teaching in schools, colleges, universities, and institutes, according to implementation results. This qualitative assessment approach is empirical and rational, and it strongly promotes the quality enhancement of educational effectiveness, based on our experimental and simulation results.

中文翻译：

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物联网评估算法在计算机教学质量评估中的应用

物联网具有革新基于计算机的教学并同时评估教学质量的能力。教学效率的评估受到两个问题的困扰：评估指标法（EIS）不足，评估框架无法处理复杂的模糊指标。为了解决这些问题，本文首次从物联网的角度提出了模糊分层理论。该理论基于模糊评估的相关理论，通过测量教学质量评估指标来实现。最初，理论分析和模型测量相结合，以建立更好的教学质量的多角度EIS。为了管理模糊指标，建立了使用定量和定性研究的教学质量评估模型。所提出的EIS和模糊评估模型可以根据实施结果有效地评估学校，学院，大学和机构的教学水平。这种定性评估方法是经验性和理性的，并且根据我们的实验和模拟结果，它极大地促进了教育效果的质量提高。