Open AccessTechnical and Individual Factors Influencing Mobile Learning in China’s Higher Education during the Outbreak of Covid-19
Author(s) -
Yu Sunze,
Jie Zhang
Publication year - 2021
Publication title -
revista românească pentru educaţie multidimensională
Language(s) - English
Resource type - Journals
eISSN - 2067-9270
pISSN - 2066-7329
DOI - 10.18662/rrem/13.1/358
Subject(s) - affect (linguistics) , covid-19 , psychology , china , pandemic , thematic analysis , path analysis (statistics) , higher education , mathematics education , medical education , qualitative research , computer science , sociology , geography , political science , medicine , disease , social science , communication , archaeology , pathology , machine learning , infectious disease (medical specialty) , law
The COVID-19 pandemic has swept the world like a tornado, caught unprepared of the Chinese higher education system to adapt to widespread unexpected disruption. It forced university students transfer to mobile learning during epidemic disease period, but students' learning efficiency had become a concern for teachers who were used to face-to-face pedagogy. This study applied mixed methods. Qualitative phase interviewed 12 freshmen with e-mail, then constructed a model by thematic analysis that ultimately affects mobile learning efficiency. Quantitative phase survived 367 freshmen by questionnaire and test previous model. The result of path analysis in quantitative phase indicated that individual factors and technological factors positively affect mobile learning acceptance, mobile learning acceptance positively affect mobile learning efficiency. The contributions of this study have strong implications for universities whom conducting mobile learning in other regions, that were still in the midst of the epidemic.