Research on Differentiated Teaching Model of Python Programming Based on Learning Data Analysis

Abstract

With the widespread application of the Python language in education, how to improve the quality of programming education through differentiated teaching models has become an urgent issue to address. This research, based on learning data analysis, constructs a differentiated teaching model for Python programming courses, aiming to utilize students' learning data to achieve personalized and precise teaching. The model uses data collection and analysis to develop differentiated teaching content and personalized resource recommendation strategies, catering to students' varying learning levels and needs. The research results indicate that this model effectively enhances students' learning interest and programming abilities, offering innovative insights for Python teaching.