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In this study, I use topic modeling, a machine learning technique for big corpora analysis, to identify discursive patterns in about 8,500 engineering education scholarly articles with special attention to the representation of engineering design and issues of equity, social justice, and ethical responsibility in engineering. This inquiry allows the tracing of the field of engineering education at scale to notice patterns that would be difficult to identify using other means. The topic modeling examination will be complemented by the use of discourse analysis tools in a sample of articles illustrative of the topics identified initially in the model. The results will have ethical and methodological implications for the engineering education research community.