Search
Browse By Day
Browse By Person
Browse By Room
Browse By Content Area
Browse By Session Type
Search Tips
LRA Home Page
Personal Schedule
Sign In
X (Twitter)
We report preliminary results from a work-in-progress study that interrogates engineering discourses. We use machine learning in combination with critical discourse analysis to trace topical patterns within approximately 8200 engineering education scholarly articles. We bring special attention to engineering design and issues of equity and justice in engineering. In this paper, we share the topic modeling analysis from a sub-corpus that indicates the timid and growing presence of attention to critical issues in engineering education.