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Title: Predicting Academic Performance Based on Students' Blog and Microblog Posts
Authors: Dascalu, Mihai
Popescu, Elvira
Becheru, Alexandru
Crossley, Scott
Trausan-Matu, Stefan
Keywords: social media
textual complexity assessment
longitudinal analysis
academic performance
Issue Date: 2016
Publisher: Springer
Citation: Dascalu, M., Popescu, E., Becheru, Alexandru, Crossley, S., & Trausan-Matu, S. (2016). Predicting Academic Performance Based on Students' Blog and Microblog Posts. In 11th European Conference on Technology Enhanced Learning (EC-TEL 2016) (pp. 370–376). Lyon, France: Springer
Abstract: This study investigates the degree to which textual complexity indices applied on students’ online contributions, corroborated with a longitudinal analysis performed on their weekly posts, predict academic performance. The source of student writing consists of blog and microblog posts, created in the context of a project-based learning scenario run on our eMUSE platform. Data is collected from six student cohorts, from six consecutive installments of the Web Applications Design course, comprising of 343 students. A significant model was obtained by relying on the textual complexity and longitudinal analysis indices, applied on the English contributions of 148 students that were actively involved in the undertaken projects.
Appears in Collections:1. RAGE Publications

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