文章基本信息

标题：MULTI-FACTORIAL PATTERNS OF ONLINE HOMEWORK USAGE IN ENGINEERING: A PILOT STUDY
本地全文：下载
作者：Agnes d’Entremont ; Jonathan Verrett ; ShunFu Hu 等
期刊名称：Proceedings of the Canadian Engineering Education Association
出版年度：2020
页码：1-6
DOI：10.24908/pceea.vi0.14122
出版社：The Canadian Engineering Education Association (CEEA)
摘要：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.
关键词：Online homework;WeBWorK;homework submission patterns;learning outcomes;latent profile analysis