Learning from Home: A Mixed-Methods Analysis of Live Streaming Based Remote Education Experience in Chinese Colleges During the COVID-19 Pandemic
Zhilong Chen, Hancheng Cao, Yuting Deng, Xuan Gao, Jinghua Piao,, Fengli Xu, Yu Zhang, Yong Li

TL;DR
This study investigates the experiences and challenges of live streaming-based remote education in Chinese colleges during COVID-19, providing insights and guidelines for improving online learning systems in future scenarios.
Contribution
It offers a comprehensive mixed-methods analysis of remote education experiences, revealing design insights and implications for future online learning environments in higher education.
Findings
Identified key design factors affecting remote learning satisfaction
Provided guidelines to enhance live streaming educational platforms
Analyzed differences in experiences between students and instructors
Abstract
The COVID-19 global pandemic and resulted lockdown policies have forced education in nearly every country to switch from a traditional co-located paradigm to a pure online 'distance learning from home' paradigm. Lying in the center of this learning paradigm shift is the emergence and wide adoption of distance communication tools and live streaming platforms for education. Here, we present a mixed-methods study on live streaming based education experience during the COVID-19 pandemic. We focus our analysis on Chinese higher education, carried out semi-structured interviews on 30 students, and 7 instructors from diverse colleges and disciplines, meanwhile launched a large-scale survey covering 6291 students and 1160 instructors in one leading Chinese university. Our study not only reveals important design guidelines and insights to better support current remote learning experience during…
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