Virtual On line
June 22, 2020
June 22, 2020
June 26, 2021
ABET is committed to promoting the broad development of engineering students including knowledge of the social, cultural, environmental, and global implications of engineering practice. Coincident with the cultural shift within engineering education is a scholarly interest in the communications of engineers and students. The present study is situated in a graduate course in environmental engineering that incorporated lectures and activities that used art and narrative topics with the goal of making students more reflective about engineering practices. The goal of this paper is to describe and analyze two methods of machine-based formative assessment of students’ essays written in response to these lectures. The two machine tools used were i) naïve Bayes analysis and ii) Meaning Extraction Helper. The results showed that both methods were able to identify differences in student essays. We suggest several ways in which these machine methods could be extended to aid in assessing learning and reflective thinking in students.
Taraban, R., & Robledo, D., & Donato, F. V., & Campbell, R. C., & Kim, J., & Reible, D. D., & Na, C. (2020, June), Machine-assisted Analysis of Communication in Environmental Engineering Paper presented at 2020 ASEE Virtual Annual Conference Content Access, Virtual On line . 10.18260/1-2--34934
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