Class attendance, peer similarity, and academic performance in a large field study

Valentin Kassarnig*, Andreas Bjerre-Nielsen, Enys Mones, Sune Lehmann, David Dreyer Lassen

*Korrespondierende/r Autor/in für diese Arbeit

Publikation: Beitrag in einer FachzeitschriftArtikelBegutachtung

Abstract

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.

Originalspracheenglisch
Aufsatznummere0187078
FachzeitschriftPLoS ONE
Jahrgang12
Ausgabenummer11
DOIs
PublikationsstatusVeröffentlicht - 1 Nov 2017

ASJC Scopus subject areas

  • Biochemie, Genetik und Molekularbiologie (insg.)
  • Agrar- und Biowissenschaften (insg.)

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