Mining and modeling of interactive association rules for mobile learning in flipped classroom based on Apriori algorithm

This study aims to use Apriori algorithm to mine the interactive correlation rules in mobile learning of flipped classroom and construct the corresponding model. First, it summarizes the background and significance of flipped classroom, mobile learning and Apriori algorithm, and defines the research objectives and problems. Then, the principle of Apriori algorithm, the characteristics of the flipped classroom model and the role of mobile learning platform in the flipped classroom are described. In the methodology and experimental design section, the process of data collection, preprocessing, model construction and parameter setting is introduced in detail. The results analysis and discussion section presents the experimental findings, explores the discoveries and insights, and offers guiding suggestions for the implementation of flipped classroom practices. Finally, it summarizes the main contributions of this study, reiterates the application value of the Apriori algorithm in mobile learning within flipped classrooms, and provides reference recommendations for educators.