Open AccessMULTI-FACTORIAL PATTERNS OF ONLINE HOMEWORK USAGE IN ENGINEERING: A PILOT STUDY
Author(s) -
Agnes G. d’Entremont,
Jonathan Verrett,
Shunfu Hu,
Juan Abelló,
Negar M. Harandi,
Tyler Leonzio,
Warren Chan Wan Fong
Publication year - 2020
Publication title -
proceedings of the ... ceea conference
Language(s) - English
Resource type - Journals
ISSN - 2371-5243
DOI - 10.24908/pceea.vi0.14122
Subject(s) - session (web analytics) , factorial analysis , psychology , mathematics education , medical education , computer science , statistics , mathematics , medicine , world wide web
WeBWorK online homework usage data for a second-year, 130-student mechanical engineering course was analyzed using latent profile analysis (LPA) to identify student usage patterns and their relation to tests/exams grades. Ten WeBWorK usage variables were used by LPA to identify three distinct student sub-groups having particular usage patterns. The resulting three sub-groups were found to have statistically significant differences in tests/exam grades. Lower grades corresponded to fewer WeBWorK sessions and questions attempted, with a higher number of attempts and questions attempted per session; lower grades also corresponded to lower collaboration metrics and later first submissions of correct answers. These results might be used by instructors to inform and encourage online homework usage practices that are related to higher grades.