The Impact of Peer Influence on Academic Performance in a Multiplex Network: A Three-Stage Co-Evolution Framework
时 间：2019年12月3日（周二）9:00-10:00
地 点：浙江大学紫金港校区行政楼1002会议室
主讲人：丁丹 博士生，新加坡国立大学
主持人：陈熹 教授，yl23411永利
摘 要:
Social networks play a critical role in determining educational outcomes. However, it has been difficult to fully characterize and estimate peer influence largely due to the empirical challenges in using observational data. In this paper, we develop a three-stage co-evolution framework to characterize the multiplexity of two interrelated networks, and assess the prevalence and extent of peer influence in academic outcomes among a cohort of college students. Specifically, we leverage a Monte Carlo Markov Chain (MCMC)-based method to jointly model peer influence and individual network formation. Using a granular and de-identified student-level dataset spanning four years, we characterize the dependency between course enrolment, in-course social interactions, and academic performance. Our results emphasize the presence of a significant and positive effect of peer influence on academic performance. Results from this study shed light on how course enrolments and in-course relations evolve over the duration of a university program, and how students’ performances are subsequently affected by their own decisions as well as peers’ behaviors. Our findings offer important implications for researchers and managers.
主讲人简介：
丁丹，新加坡国立大学信息系统与分析专业博士，Institute for Application of Learning Science and Educational Technology (ALSET) 研究员，曾在乐天Viki (新加坡) 担任数据分析师。主要研究方向为基于大数据的社交网络动态研究，学习分析，商业分析，社交媒体对于用户行为的影响分析。担任 Journal of Strategic Information Systems、Information & Management等杂志审稿人，并在多个信息系统和经济管理国际会议发言报告学术论文。
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