Research on the Application of Blended Teaching Mode Based on Rain Classroom—An Example of the Course “Data Analysis for E-Commerce”
Year: 2025
Type: article
Abstract: This dissertation takes the course of E-commerce Data Analysis as the research object, focuses on the drawbacks of lagging knowledge updating, weak practical teaching, and insufficient teacher-student interaction that exist in the traditional teaching mode, and discusses in depth the application of blended teaching mode based on rain classroom. Through the systematic elaboration of blended teaching online and offline integration, personalized learning and other characteristics, combined with the development trend of data in the e-commerce industry, analyze the necessity of using this mode in the course. The study describes in detail the practice process of teaching design, teaching implementation and evaluation based on rain classroom, shows the teaching effectiveness from two aspects of student satisfaction survey and course performance comparison, and reflects deeply on the problems existing in practice and puts forward optimization strategies, aiming at providing reference for the teaching reform of e-commerce data analysis course, promoting the improvement of teaching quality, and helping to cultivate high-quality e-commerce talents adapted to the industry needs.
Author: <p>Yao Ma, Qiong Wang, Qing Shen</p>
Language: English
Topic: Online and Blended Learning
Subfield: Education
Field: Social Sciences
Domain: Social Sciences
SDG: Quality education
Open Access status: bronze
OpenAlex ID: W4411900235