ABSTRACT
This paper examines the impact of learning environments, educators’ attention, and students’ personal qualities on the outcomes of online learning. To approach conclusions, this paper describes the heterogeneous effect of these three types of factors on online learning outcomes and employs a fixed-effect regression to examine what exact factors constitute a good learning environment, appropriate educators’ attention and personal qualities that benefit students’ learning efficiency. The fixed-effect regression is applied on data of students’ answers to questionnaires and their final exam scores collected anonymously at three high schools in northern China during COVID-19 quarantine periods when Chinese high schools all conduct lessons and mid-term exams online but the final exam off-line, which is a major differentiation factor of this study. This paper contributes to three major findings: students who are more self-disciplined benefit more from the improvement of learning environments, practicing sports regularly improves online learning outcomes, and educators should find a balance between ensuring students are focused and not giving students too much pressure.
- Eric P. Bettinger, Lindsay Fox, Susanna Loeb, and Eric S. Taylor. 2017. Virtual Classrooms: How Online College Courses Affect Student Success. American Economic Review 107, 9 (September 2017), 2855–75. https://doi.org/10.1257/aer.20151193Google ScholarCross Ref
- Hans Dietrich, Alexander Patzina, and Adrian Lerche. 2020. Social inequality in the homeschooling efforts of German high school students during a school closing period. European Societies 23(2020), S348 – S369.Google ScholarCross Ref
- Adam Driscoll, Karl Armstrong Jicha, Andrea N. Hunt, Lisa Tichavsky, and Gretchen H. Thompson. 2012. Can Online Courses Deliver In-class Results?Teaching Sociology 40(2012), 312 – 331.Google Scholar
- Hooman Estelami. 2013. Determining The Drivers Of Student Performance In Online Business Courses. American Journal of Business Education 7 (2013), 79–92.Google Scholar
- David N. Figlio, Mark Rush, and Lu Yin. 2013. Is It Live or Is It Internet? Experimental Estimates of the Effects of Online Instruction on Student Learning. Journal of Labor Economics 31 (2013), 763 – 784.Google ScholarCross Ref
- Robert Kunzman and Milton Gaither. 2020. Homeschooling: An Updated Comprehensive Survey of the Research.Google Scholar
- Di Xu and Shanna Smith Jaggars. 2013. The impact of online learning on students’ course outcomes: Evidence from a large community and technical college system. Economics of Education Review 37 (2013), 46–57.Google ScholarCross Ref
Index Terms
- A Heterogeneous Study on Online Education Outcomes during the Quarantine Period
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