Undergraduate engineering courses excel at teaching students foundational engineering concepts but the integration of these concepts with their broader societal context, and the communication of these concepts to different audiences is often lacking. To address this gap, we re-designed a third-year civil and environmental engineering course to address three target areas: 1) strengthen students’ problem solving, data analysis and data visualization skills, and confidence using computational tools; 2) increase students’ awareness and understanding of engineering in a societal context; and 3) develop students’ ability to communicate their expertise to a range of audiences, including peer technical experts, policy makers, and the broader public.
In this case study, we present the design of an assigned project for which students are asked to make recommendations on whether a coal-fired power plant should be decommissioned or remain in operation. This project requires students to visualize and analyze real data from their assigned power plant using R, building on skills they learned in a second-year civil engineering course. The data analysis includes evaluating impacts to local and global environments, human health and risk, and economic, consumer, and social considerations. Students first communicate their analysis and recommendation in the form of a technical report intended for a supervisor or other technical experts. To build up to this report, we developed a set of scaffolded and integrated programming and writing homework assignments. After the technical report, students are then tasked with communicating their recommendation in the form of two public-facing documents: 1) a policy memo that has a target audience of local decision makers (e.g., county and city officials local to the power plant); and 2) an Op-Ed intended for a local newspaper.
Students were surveyed at the beginning and end of each semester to assess attitudes around programming, communication, and engineering in a societal context. Key outcomes from the Fall 2024 end-of-semester surveys demonstrate that students felt the course improved their understanding in all three targeted areas: 1) confidence using computational tools for data analysis, data visualization, and problem solving (18/25 moderately to extremely confident); 2) awareness and understanding of engineering in a societal context (23/24 moderately to extremely well); and 3) confidence in ability to communicate to a range of audiences (24/24 moderately to extremely confident).
The full paper will be available to logged in and registered conference attendees once the conference starts on June 22, 2025, and to all visitors after the conference ends on June 25, 2025