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Impact of the Internet on the Teaching Effect of Higher Education Based on Big Data Analysis

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Big Data Analytics for Cyber-Physical System in Smart City (BDCPS 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1303))

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Abstract

This paper mainly uses the reliability test of the scale to test the questionnaire survey. The four factors are the teacher factor scale, the student factor scale, the learning environment factor scale, and the classroom interaction effectiveness measure index scale. Reliability test is performed on the table. If the variable is greater than 0.7, the reliability is good, and the principal component principle is used to evaluate the students’ different learning situations as a whole. In terms of experiments, this paper mainly selects two classes for a school. One for the control class is traditional teaching, and the other is an experimental class, which uses the Internet to integrate traditional education and teach separately. It is mainly discussed in terms of the number of classroom questions, participation in discussions, the number of pre-class previews, online answer scores, homework scores, and overall evaluation scores. The experimental class scores are better than the control class. But in terms of the number of pre-class previews, the control class is higher than the experimental class. Therefore, as far as the integration of the Internet into traditional education and teaching, it may cultivate students’ inertia and test their consciousness. And after the integration of the Internet into traditional teaching, students’ satisfaction with learning is higher than that of traditional teaching, which also greatly promotes the integration of the Internet into traditional teaching.

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Correspondence to Boyu Zang .

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Zang, B. (2021). Impact of the Internet on the Teaching Effect of Higher Education Based on Big Data Analysis. In: Atiquzzaman, M., Yen, N., Xu, Z. (eds) Big Data Analytics for Cyber-Physical System in Smart City. BDCPS 2020. Advances in Intelligent Systems and Computing, vol 1303. Springer, Singapore. https://doi.org/10.1007/978-981-33-4572-0_137

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  • DOI: https://doi.org/10.1007/978-981-33-4572-0_137

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-33-4573-7

  • Online ISBN: 978-981-33-4572-0

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