Study on the Optimization of Macroeconomics Teaching Model Based on Cluster Analysis in the Context of Data

Abstract

Macroeconomics is a basic course among majors related to economic management. It plays a connecting role and can help students grasp economic phenomena and solve economic problems from an overall perspective. Many teachers still teach macroeconomics using the old teaching method, which ignores students' accepting abilities and preferences. It can not properly encourage pupils to take initiative in their learning, resulting in disconnect between curricular instruction and actual requirements. Teachers should correctly face the teaching reform situation, actively rely on advanced big data technology, upgrade macroeconomics teaching mode, and enhance students' ability to actively learn and solve practical problems and use teaching reform to obtain ideal teaching results. We present an optimization approach for macroeconomics teaching mode based on cluster analysis in the context of data based on this. The model's viability is confirmed through the creation of instructional situations and practical teaching. The experimental results show that students can improve their core knowledge, communication, and learning ability. The method has certain feasibility and effectiveness, which lays a foundation for the optimization of macroeconomics teaching mode.