Construction Research Congress 2020
An Automated Grading Method for Activity-on-Node Calculations to Support Construction Management Education
Publication: Construction Research Congress 2020: Safety, Workforce, and Education
ABSTRACT
Construction management education encounters challenges in delivering timely feedback to students given the current significant growth in students’ population. How to provide detailed feedback while finishing the grading efficiently is a question that needs to be addressed. For example, activity-on-node (AON) is a precedence diagramming method to denote schedule activities using boxes. The calculation of AON parameters is an important skill for students. Such calculation must be performed following the logical sequence of activities. The grading of AON calculations is a time-consuming and labor intensive task, especially when the graders have to avoid penalizing students more than once for cascaded errors. In this paper, the authors developed an Excel-based automated grading method for AON calculations, which identified cascaded errors and avoided penalizing students multiple times for cascaded errors. Two case studies grading tests showed that the results of using the proposed method achieved 100% accuracy while reducing manual grading efforts. The proposed automated grading method opens a new door to improving grading efficiencies in construction management education, without penalizing students for cascaded errors or harming the level of details in feedback to students.
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Information & Authors
Information
Published In
Construction Research Congress 2020: Safety, Workforce, and Education
Pages: 733 - 742
Editors: Mounir El Asmar, Ph.D., Arizona State University, David Grau, Ph.D., Arizona State University, and Pingbo Tang, Ph.D., Arizona State University
ISBN (Online): 978-0-7844-8287-2
Copyright
© 2020 American Society of Civil Engineers.
History
Published online: Nov 9, 2020
Published in print: Nov 9, 2020
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