Virtual On line
June 22, 2020
June 22, 2020
June 26, 2021
Liberal Education/Engineering & Society
Diversity
13
10.18260/1-2--35517
https://peer.asee.org/35517
461
I am a lecturer in the department of biomedical engineering at Georgia institute of technology /Emory University. I have been working on educational research since 2016. My main focus is on problem based learning core courses. But specifically I work on inclusive model based reasoning and interpersonal skills. I have a Phd in bioelectronics and also do research in functional MRI, with the focus on functional network analysis and working memory.
Mel Chua (melchua.com) is a contagiously enthusiastic hacker, scholar, dancer, bimodal polyglot, and perpetual motion machine. She started out in electrical/computer engineering and spent several years wrangling large distributed technical teams in the open source software and hardware world before returning to academia. Mel's research focuses on learning in hacker/maker communities, faculty development, embodied and critical postmodern qualitative research methodologies, and prototyping alternate ontologies of curricular culture in engineering education.
Joe Le Doux is the Associate Chair for Undergraduate Learning and Experience in the Department of Biomedical Engineering at Georgia Tech and Emory University. Dr. Le Doux's research interests in engineering education focus on problem-solving, diagrammatic reasoning, and on the socio-cognitive aspects of the flipped and blended learning environments.
As engineering educators prepare increasingly diverse cohorts of students to tackle complex global challenges, the need for engineers with inclusive mindsets has become more apparent. One aspect of inclusion is the awareness of our potential for biases in the models we create of the world -- mathematical models that go on to influence the technologies we produce. This paper presents a work-in-progress case study of an intervention in a middle-years analytical course with a heavy focus on mathematical modeling. The intervention is designed to make students aware of biases in mathematical models, their own tendencies towards these kinds of biases, and the sorts of impacts these biases can have on real populations. An important component of the intervention is that it is embedded into the teaching of analytical content, rather than being an additional unit on “inclusion” that remains separate from quantitative work.
Nezafati, M., & Chua, M., & LeDoux, J. M. (2020, June), WIP: A Case Study of Integrating Inclusive Engineering Skills into a Middle-years Biomedical Engineering Course via Model-based Reasoning Paper presented at 2020 ASEE Virtual Annual Conference Content Access, Virtual On line . 10.18260/1-2--35517
ASEE holds the copyright on this document. It may be read by the public free of charge. Authors may archive their work on personal websites or in institutional repositories with the following citation: © 2020 American Society for Engineering Education. Other scholars may excerpt or quote from these materials with the same citation. When excerpting or quoting from Conference Proceedings, authors should, in addition to noting the ASEE copyright, list all the original authors and their institutions and name the host city of the conference. - Last updated April 1, 2015