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From the Cover: Integration in emerging social networks explains academic failure and success

机译:从封面开始:新兴社交网络中的集成说明了学术上的失败和成功

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摘要

Academic success of students has been explained with a variety of individual and socioeconomic factors. Social networks that informally emerge within student communities can have an additional effect on their achievement. However, this effect of social ties is difficult to measure and quantify, because social networks are multidimensional and dynamically evolving within the educational context. We repeatedly surveyed a cohort of 226 engineering undergraduates between their first day at university and a crucial examination at the end of the academic year. We investigate how social networks emerge between previously unacquainted students and how integration in these networks explains academic success. Our study measures multiple important dimensions of social ties between students: their positive interactions, friendships, and studying relations. By using statistical models for dynamic network data, we are able to investigate the processes of social network formation in the cohort. We find that friendship ties informally evolve into studying relationships over the academic year. This process is crucial, as studying together with others, in turn, has a strong impact on students’ success at the examination. The results are robust to individual differences in socioeconomic background factors and to various indirect measures of cognitive abilities, such as prior academic achievement and being perceived as smart by other students. The findings underline the importance of understanding social network dynamics in educational settings. They call for the creation of university environments promoting the development of positive relationships in pursuit of academic success.
机译:学生的学业成就已通过各种个人和社会经济因素进行了解释。在学生社区中非正式出现的社交网络可能会对他们的成就产生额外影响。但是,由于社交网络是多维的,并且在教育环境中动态发展,因此很难衡量和量化社会纽带的影响。在大学开学第一天到学年结束时的关键考试之间,我们反复调查了226名工程专业本科生。我们研究了以前不认识的学生之间如何形成社交网络,以及这些网络中的融合如何解释了学业上的成功。我们的研究测量了学生之间社会联系的多个重要方面:他们之间的积极互动,友谊和学习关系。通过使用动态网络数据的统计模型,我们能够研究队列中社交网络的形成过程。我们发现友谊关系在整个学年中非正式地演变为研究关系。这个过程至关重要,因为与其他人一起学习会对学生的考试成功产生重大影响。该结果对于社会经济背景因素的个体差异和认知能力的各种间接测度(如先前的学习成绩和被其他学生视为聪明的人)具有鲁棒性。这些发现强调了了解教育环境中社交网络动态的重要性。他们呼吁创建大学环境,以促进积极的人际关系的发展,以追求学业上的成功。

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