This paper puts forward the combination of big data and university physics experiment teaching based on the combination of big data and industrial internet, and tries to get rid of the traditional teaching mode of university physics experiment and develop innovative experiment teaching, focusing on the application of computer data acquisition and data analysis in the process of university physics experiment teaching. Let our students, like scientists and engineers, open up the relevant concepts in reality in their study, reduce the chance of gross errors in the experiment process, use cloud computing to achieve real-Time data feedback, improve the understanding of concepts, increase students'interaction, and promote students' thinking, thus becoming active participants, allowing students to spend more time in analysis and development. High-level thinking skills.
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CITATION STYLE
Han, C. (2020). Reform of University Physics Experiment Course under the Combination of Big Data and Industrial Internet. In IOP Conference Series: Materials Science and Engineering (Vol. 735). Institute of Physics Publishing. https://doi.org/10.1088/1757-899X/735/1/012076