{"title":"College peer effects on learning behaviors in synchronous online courses","authors":"Liping Ma , Wei Ha , Yulian Cao","doi":"10.1016/j.chieco.2024.102206","DOIUrl":null,"url":null,"abstract":"<div><p>This study contributes to the growing body of research on peer effects in educational contexts by examining the peer effects on learning behaviors, which are pivotal in understanding how peers impact academic achievements, especially in online education. Drawing upon an administrative dataset and a learning behavior dataset from an online education platform at a Chinese research university in 2020, we employ fixed effects and dynamic models to investigate the peer effects on undergraduates' class absence. Notably, we further consider partially overlapping networks of peers and utilize the class absence of “classmates of classmates” (who are not one's own classmates) as instrumental variables for peers' absence to address potential estimation biases. Our findings reveal significantly positive effects of classmates' class absence on individuals' both full-class and part-class absence in synchronous online courses. Additionally, heterogeneity analyses show that males, freshmen and sophomore students are more susceptible to peer influence and exhibit greater influence on their peers, and peer effects are stronger in subject required courses, courses with larger class sizes, courses with mandatory attendance policies, and among students in the same department or grade level.</p></div>","PeriodicalId":48285,"journal":{"name":"中国经济评论","volume":"86 ","pages":"Article 102206"},"PeriodicalIF":5.2000,"publicationDate":"2024-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"中国经济评论","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1043951X24000956","RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0
Abstract
This study contributes to the growing body of research on peer effects in educational contexts by examining the peer effects on learning behaviors, which are pivotal in understanding how peers impact academic achievements, especially in online education. Drawing upon an administrative dataset and a learning behavior dataset from an online education platform at a Chinese research university in 2020, we employ fixed effects and dynamic models to investigate the peer effects on undergraduates' class absence. Notably, we further consider partially overlapping networks of peers and utilize the class absence of “classmates of classmates” (who are not one's own classmates) as instrumental variables for peers' absence to address potential estimation biases. Our findings reveal significantly positive effects of classmates' class absence on individuals' both full-class and part-class absence in synchronous online courses. Additionally, heterogeneity analyses show that males, freshmen and sophomore students are more susceptible to peer influence and exhibit greater influence on their peers, and peer effects are stronger in subject required courses, courses with larger class sizes, courses with mandatory attendance policies, and among students in the same department or grade level.
期刊介绍:
The China Economic Review publishes original works of scholarship which add to the knowledge of the economy of China and to economies as a discipline. We seek, in particular, papers dealing with policy, performance and institutional change. Empirical papers normally use a formal model, a data set, and standard statistical techniques. Submissions are subjected to double-blind peer review.