Année : 2019
Lieu de publication de l'article :

Résumé de l'article

We study the usage of a self-guided online tutoring platform calledAlgebra Nation, which is widely by middle school and high schoolstudents who take the End-of-Course Algebra I exam at the end ofthe school year. This article aims to study how the platform con-tributes to increasing students’ exam scores by examining users’logs over a three year period. The platform under considerationwas used by more than 36,000 students in the first year, to nearly67,000 by the third year, thus enabling us to examine how usagepatterns evolved and influenced students’ performance at scale. Wefirst identify which Algebra Nation usage factors in conjunctionwith math overall preparation and socioeconomic factors contributeto the students’ exam performance. Subsequently, we investigatethe effect of increased teacher familiarity level with the AlgebraNation on students’ scores across different grades through media-tion analysis. The results show that the indirect effect of teacher’sfamiliarity with the platform through increasing student’s usagedosage is more significant in higher grades.CCS CONCEPTS· Applied computing → Computer-assisted instruction;KEYWORDSMath education, Online tutoring platform, Hierarchical linear mod-els, Mediation analysisACM Reference Format:Sahba Akhavan Niaki, Clint P. George, George Michailidis, and Carole R.Beal. 2019. Investigating the Usage Patterns of Algebra Nation TutoringPlatform. In The 9th International Learning Analytics & Knowledge Conference(LAK19), March 4–8, 2019, Tempe, AZ, USA. ACM, New York, NY, USA,10 pages. https://doi.org/10.1145/3303772.3303788∗Currently affiliated with Indian Institute of Technology Goa2Corresponding authorPermission to make digital or hard copies of all or part of this work for personal orclassroom use is granted without fee provided that copies are not made or distributedfor profit or commercial advantage and that copies bear this notice and the full citationon the first page. Copyrights for components of this work owned by others than ACMmust be honored. Abstracting with credit is permitted. To copy otherwise, or republish,to post on servers or to redistribute to lists, requires prior specific permission and/or afee. Request permissions from permissions@acm.org.LAK19, March 4–8, 2019, Tempe, AZ, USA© 2019 Association for Computing Machinery.ACM ISBN 978-1-4503-6256-6/19/03. . . $15.00https://doi.org/10.1145/3303772.3303788

Mots-clés

Mediation (statistics),