Conference Session

Introducing Sustainability into Engineering Education

Collection

2011 ASEE Annual Conference & Exposition

Authors

Jonathan Wiggins, University of Colorado, Boulder; Mary E. McCormick, Tufts University; Angela R. Bielefeldt, University of Colorado, Boulder; Christopher W. Swan, Tufts University; Kurt Paterson, Michigan Technological University

Tagged Divisions

Environmental Engineering

-efficacy to practice sustainable engineering, were foundsignificant. These three constructs were used as a basis for developing a revised instrument.The second version of the survey is geared towards measuring students' motivation to practicesustainable engineering. The thirty-five survey questions comprising the second instrument arestructured in an Expectancy Value Theory framework in the domain of sustainable engineering,comprised of self-efficacy, motivation, and affect27,28. The quantitative assessment survey wasintended to be administered after the qualitative instrument. It is comprised of several sections.The revised survey takes about five minutes to complete and opens with a consent form,institution attending, and code name for linkage

Conference Session

What Else do Environmental Engineers Need to Know

Collection

2011 ASEE Annual Conference & Exposition

Authors

Susan Powers, Clarkson University; Jan DeWaters, Clarkson University; Suresh Dhaniyala, Clarkson University; Mary Margaret Monica Small, Clarkson University

Tagged Divisions

Environmental Engineering

toward global climate change and climate change science (Table 3).• Competency Survey: An Engineering Self-Efficacy Scale, which contains 15 Likert-type statements, was developed and used as part of a previous NSF-funded gender equity program at Clarkson University. It was adapted and used in this project to evaluate participants’ feelings of personal competency relative to NASA education and career goals and scientific/ technical careers related to climate change.Surveys were administered at the beginning and end of the semester for summative purposes.Statistical applications, including inferential statistics such as paired sample t-test, have beenused to measure pre/post changes in student responses. Analyses were conducted with