Virtual Simulation Experimental Teaching of E-Commerce Course Based on Short Video

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Lili Sun, Xiangping Wang

Abstract

The e-commerce course based on short videos offers a dynamic and accessible learning experience tailored to the fast-paced world of online business. Through concise and engaging video modules, students gain practical insights into various aspects of e-commerce, including market analysis, digital marketing strategies, website development, and customer relationship management. This papers explores the implementation of virtual simulation experimental teaching in an e-commerce course, utilizing short video modules as the primary instructional tool, enhanced by Stacked Ranking Regression Classifier (SRRC). The research aims to enhance student engagement and comprehension by integrating virtual simulations with short video content, providing an immersive and interactive learning experience. Through simulated experiments and empirical validations, the efficacy of SRRC-enhanced virtual simulation teaching methods is evaluated. Results demonstrate significant improvements in student performance and satisfaction compared to traditional teaching approaches. Simulation analysis of students exposed to SRRC-enhanced virtual simulation teaching reported a 25% increase in comprehension levels and a 30% improvement in engagement metrics. Additionally, the SRRC model facilitates personalized learning experiences tailored to individual student needs, leading to enhanced learning outcomes. These findings underscore the potential of virtual simulation experimental teaching with SRRC in revolutionizing e-commerce education and fostering student success.

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