Exploration on Classroom Teaching Quality of Intelligent Digital Information and Cloud Model

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Abstract

In the era of information explosion, digital technology has penetrated into every aspect of people's lives. Intelligent digital information and cloud models, as emerging educational technologies, provide new possibilities for improving the quality of classroom teaching. The quality of classroom teaching is influenced by various factors. Among them, teachers' teaching methods, relevant information skills mastered, and school facilities and equipment can all have an impact on the quality of teaching. This article conducted in-depth research on the quality of classroom teaching and applied relevant methods of digital information and cloud models, enabling a deeper understanding of the detection and calculation of classroom teaching quality. This article mainly applied the survey method and AHP (Analytic Hierarchy Process) to analyze the factors that affect the quality of teaching and calculate the consistency of the factors. The data results showed that there was a significant difference between the consistency and random consistency values of teaching effectiveness, which were 0.0046 and 0.0079, respectively.
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智能数字信息与云模式课堂教学质量探讨
在信息爆炸的时代,数字技术已经渗透到人们生活的方方面面。智能数字信息和云模型作为新兴的教育技术,为提高课堂教学质量提供了新的可能。课堂教学质量受多种因素的影响。其中,教师的教学方法、掌握的相关信息技能、学校的设施设备等都会对教学质量产生影响。本文对课堂教学质量进行了深入的研究,运用了数字信息和云模型的相关方法,对课堂教学质量的检测和计算有了更深入的了解。本文主要运用调查法和层次分析法对影响教学质量的因素进行分析,并计算各因素的一致性。数据结果显示,教学有效性的一致性值与随机一致性值存在显著差异,分别为0.0046和0.0079。
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