The Predicament of College English Curriculum Education Reform under the Background of Big Data and Internet of Things

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Abstract

Under the influence of the rapid development of various electronics and data science, software technology has also made great progress. Among them, big data and Internet of Things technologies have developed particularly rapidly, and big data and Internet of Things technologies have gradually become mainstream technologies in this era. The Internet of Everything and data prediction have brought convenience to technological innovation in various industries. Teaching innovation in colleges and universities has always pursued the integration of the latest technology into the teaching process of colleges and universities. Curriculum reform is an important way of college innovation. An important trend of the current university curriculum reform. In order to study the current predicament of college English curriculum reform, this paper distributed corresponding questionnaires to teachers and students of English departments in 35 universities by means of questionnaires distributed on the Star Online. It is concluded that the current predicament of college English curriculum teaching and reform mainly includes the mismatch between training objectives and teaching mode, the untargeted teaching content and the single teaching evaluation mode, and combined with big data and Internet of Things technology to solve the current predicament of college English curriculum reform The plan was designed, and through secondary visits to the colleges and universities surveyed in the previous period, it was found that after the college process curriculum reform combining big data and Internet of Things technology, the students' learning efficiency has been greatly improved, and the teachers' sense of course burden has also decreased.

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APA

Wang, X. (2023). The Predicament of College English Curriculum Education Reform under the Background of Big Data and Internet of Things. Computer-Aided Design and Applications, 20(S12), 73–83. https://doi.org/10.14733/cadaps.2023.S12.73-83

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