Online education platform, Academic performance, College students, Statistical analysis
Abstract
Online education has become an indispensable component of modern teaching, and the study of the relationship between its interactive modalities and academic performance is significant for the optimization of teaching strategies. Although existing research has explored the impact of online interaction on learning outcomes, an in-depth analysis targeting university students in specific regions still warrants further investigation. Therefore, the present study employed a survey methodology to collect data on the usage of online education platforms and academic performance from 324 university students at Jiangxi Vocational College of Mechanical & Electrical Technology. Descriptive statistical analysis was then conducted on the collected data. The results indicate a positive correlation between online learning and academic performance, with only a small number of students reporting that online learning has harmed their grades. While it is not possible to assert a direct causal relationship between the time and pattern of online interactive learning and grades, it is evidence that increased viewing of live courses and interactive participation does help students enhance their problem-solving abilities and significantly impacts their academic performance. Future research could explore the specific effects of different interactive tools and methods within online education platforms on academic performance, as well as how to design more effective online teaching activities to improve students’ motivation and grades. Additionally, with the advancement of artificial intelligence and big data technologies, future studies could leverage these technologies for a more in-depth analysis of online learning behaviors, providing support for personalized online teaching.
