Quality Assessment Model of Middle School Geography Teaching Practice Course Based on Decision Tree Algorithm

The implementation of the practical course of geography research needs to take students into the real regional environment, face more complex comprehensive problems than books, and perceive the geographical environment and the relationship with human society through the guidance of teachers and the cooperation between peers. In traditional classroom teaching, teachers pay more attention to the preset classroom objectives and conduct teaching within the teachers' controllable scope. In the real environment of situational teaching, in the student-centered problem-solving teaching model, it is very easy to produce the phenomenon of goal realization. This paper uses decision tree algorithm to analyze the instructional assessment data of the practical course of geography research in middle school, and discusses the inevitable connection between the classroom instructional effect and the teaching link, so as to provide decision support information for the teaching department, urge the teachers to better carry out the teaching work, and improve the instructional level. The simulation results show that the proposed algorithm can get better assessment accuracy when it is used to assess the quality of practical courses of geographical research. The algorithm can mine the key factors that affect the quality of teaching, thus extracting useful information and providing a scientific basis for decision analysis of managers.