一项大型实地研究中的课堂出勤率、同伴相似性和学习成绩
Class attendance, peer similarity, and academic performance in a large field study
摘要：
确定决定学习成绩的因素是教育研究的重要组成部分。现有的研究表明，上课出勤率是一个有用的预测随后的课程成绩。然而，大多数文献是基于调查和自我报告，这些方法具有众所周知的系统性偏差，导致结论和普遍性的限制，以及实施成本高。在这里，我们提出了一种新的方法来测量上课出勤率，克服了这些限制，通过使用从智能手机传感器收集的位置和蓝牙数据。基于近1,000名本科生的实测出勤数据，我们证明了早期和一致的上课出勤率与学习成绩密切相关。此外，我们的新数据集使我们能够确定，出席社会同行之间的实质性相关（$>$ 0.5），这表明一个重要的同行效应或同质性方面的出席。
英文摘要：
Identifying the factors that determine academic performance is an essential part of educational research. Existing research indicates that class attendance is a useful predictor of subsequent course achievements. The majority of the literature is, however, based on surveys and self-reports, methods which have well-known systematic biases that lead to limitations on conclusions and generalizability as well as being costly to implement. Here we propose a novel method for measuring class attendance that overcomes these limitations by using location and bluetooth data collected from smartphone sensors. Based on measured attendance data of nearly 1,000 undergraduate students, we demonstrate that early and consistent class attendance strongly correlates with academic performance. In addition, our novel dataset allows us to determine that attendance among social peers was substantially correlated ($>$0.5), suggesting either an important peer effect or homophily with respect to attendance.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
