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Using Concept Maps in Teaching Operations Management Courses
Author(s) -
Essila Jean C.,
Alhourani Farouq,
Motwani Jaideep
Publication year - 2021
Publication title -
decision sciences journal of innovative education
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.52
H-Index - 19
eISSN - 1540-4609
pISSN - 1540-4595
DOI - 10.1111/dsji.12228
Subject(s) - covariate , analysis of covariance , computer science , mathematics education , concept map , control (management) , teaching method , test (biology) , covariance , artificial intelligence , psychology , machine learning , mathematics , statistics , paleontology , biology
ABSTRACT Teaching quantitative subjects such as operations management (OM) can be quite challenging. In this article, we present a novel approach that uses simplified concept maps for teaching OM. This application of concept maps was investigated to determine if it helps students to answer questions and to solve OM problems more effectively. Our study used a controlled experimental design with students divided into two groups, one taught using concept maps and another group taught using traditional techniques. Student learning was measured with pre‐ and posttests consisting of both multiple‐choice and constructed‐response items. The performance of the two groups was compared using an independent samples t‐test and analysis of covariance to control for the covariate “pretest.” The results indicate that use of simplified concept mapping significantly improved student learning of OM course material. We therefore recommend its adoption as an active‐learning pedagogical technique that can lead to positive change in the OM classroom.