Research on the Construction of an AI Image Recognition-Based Evaluation System for Middle School Physics Experiment Operational Compliance
Ruiqi Zhang

The First Middle School of Chongqing University Town Shapingba District，Chongqing，401331;

Abstract：With the rapid development of artificial intelligence (AI) technology, its application in the educational field is becoming increasingly widespread. This study focuses on research concerning the construction of an AI image recognition-based evaluation system for middle school physics experiment operational compliance. Through an analysis of the current state of evaluation in middle school physics experimental teaching, the necessity of introducing AI technology is elaborated. Key technologies involved in system construction are introduced in detail, including image  recognition algorithms, data acquisition, and processing. Practical case studies demonstrate the system's significant effectiveness in improving evaluation accuracy, objectivity, and teaching efficiency, providing valuable insights for the intelligent development of middle school physics experimental teaching.

Keywords: AI Image Recognition; Middle School Physics Experiments; Operational Compliance; Evaluation System

References

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