Construction of Middle School Physics Experiment Platform Based on Internet of Things for Cultivating Students' Creative Thinking

With the continuous reform and deepening of the training goal of core literacy talents, the traditional teaching methods are constantly improved in physics experiment teaching in middle schools, and the innovative talent training mode is organically integrated with physics practice, so as to improve the practicality and pertinence of physics discipline. In this article, an assessment model of middle school physics students' innovation ability based on deep learning is proposed. Data are collected through the Internet of Things (IOT), and the collected data are input into the artificial neural network (ANN) model of innovation ability assessment. The performance level of students' innovation ability before and after the cultivation of students' creative thinking is analyzed in terms of instructional content, instructional delivery, instructional materials and instructional assessment. In order to verify the effectiveness of the assessment method, this article carried out a simulation experiment, which proved that it is feasible to apply this method to the assessment of innovation ability of middle school physics students, and it can provide technical support for the construction of middle school physics experiment platform. In the assessment of students' innovative ability, we can find that the cultivation of students' creative thinking is of positive significance to the cultivation of middle school students' innovative ability.