An evaluation framework for engineering design projects for gender bias, domain relatedness, and ambiguity: Development

Shubham Khoje, Elcin Günay, Gül E. Kremer, Kijung Park, Kathy L. Jackson, Xinli Wu

Research output: Contribution to conferencePaper

Abstract

Engineering design learning is one of the key components for an engineering degree; thus engineering design projects are commonly included in engineering curricula to help students cultivate design thinking and creative problem-solving skills. However, an engineering design project is prone to the following issues if it is not appropriately provided to engineering students. First, gender bias can occur when the design project is perceived to be more skewed to one gender in comparison to the other. Second, domain bias can occur when the discipline of the design project is not related to the chosen major and interest areas of a student. Third, ambiguity can arise from the lack of clarity on design objectives and the scope. These issues can lead to diminished engagement and self-efficacy for engineering students. In order to tackle these issues, this study performs a preliminary work to build a framework that appropriately assesses engineering design projects. The evaluation framework is based on a measurement system that helps educators to evaluate the appropriateness of the design projects through designated questionnaires. The framework for design projects proposed in this study would help engineering educators to better prepare and revise their design projects, so that the engineering design projects can improve student engagement and learning performance.

Original languageEnglish (US)
Pages658-663
Number of pages6
Publication statusPublished - Jan 1 2018
Event2018 Institute of Industrial and Systems Engineers Annual Conference and Expo, IISE 2018 - Orlando, United States
Duration: May 19 2018May 22 2018

Other

Other2018 Institute of Industrial and Systems Engineers Annual Conference and Expo, IISE 2018
CountryUnited States
CityOrlando
Period5/19/185/22/18

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All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering

Cite this

Khoje, S., Günay, E., Kremer, G. E., Park, K., Jackson, K. L., & Wu, X. (2018). An evaluation framework for engineering design projects for gender bias, domain relatedness, and ambiguity: Development. 658-663. Paper presented at 2018 Institute of Industrial and Systems Engineers Annual Conference and Expo, IISE 2018, Orlando, United States.