Gabriella Coloyan Fleming

Research scientist

Gabriella conducts research at the intersection of undergraduate and graduate education and career pathways, focusing on students themselves and the people, practices, and policies that impact them.

Research areas

Generative AI
Natural language processing
Qualitative research methods
Graduate education

Projects

How can NLP methods help engineering education researchers and instructors analyze text-rich learning data responsibly and at scale?

Publications

Thematic analysis with open-source generative AI and machine learning: A new method for inductive qualitative codebook development

Andrew Katz, Gabriella Coloyan Fleming and Joyce B. Main, Humanities and Social Sciences Communications, 2026. doi.org/10.1057/s41599-026-06508-5 Earlier preprint
Thematic Analysis with Open-Source Generative AI and Machine Learning: A New Method for Inductive Qualitative Codebook Development

Andrew Katz, Gabriella Coloyan Fleming and Joyce Main, arXiv preprint, 2024. doi.org/10.48550/arXiv.2410.03721
What engineering employers want: An analysis of technical and professional skills in engineering job advertisements

Gabriella Coloyan Fleming, M. Klopfer, Andrew Katz et al., Journal of Engineering Education, 2024. doi.org/10.1002/jee.20581

Education

PhD in Mechanical Engineering (2018)

Contact

LinkedIn