Andrew Katz
Engineering · Purdue University West Lafayette
Publications
122
Citations
736
Est. group size
~3
Recurring co-author estimate
Active years
51
Publishing since 1976
Andrew Katz works in engineering education research, focusing on how students experience and learn engineering, including topics like career interests, curriculum design, and ethics. Much of the recent work applies natural language processing and generative AI (including large language models and chatbots) to analyze text data such as student writing, social media posts, and classroom interactions. This combines qualitative research methods in education with computational text-analysis tools.
Publication output has grown substantially over the last decade, rising from just a handful of papers per year before 2020 to a peak of 35 in 2024, though the most recent 2025-2026 counts appear lower (possibly reflecting incomplete or forthcoming records).
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Thematic analysis with open-source generative AI and machine learning: a new method for inductive qualitative codebook development
Humanities and Social Sciences Communications · 2026
- Understanding health systems thinking in medical education: qualitative interviews with expert clinicians
BMC Medical Education · 2026
- Extending Minimal Pairs with Ordinal Surprisal Curves and Entropy Across Applied Domains
arXiv (Cornell University) · 2026
- Can LLMs Reason About Attention? Towards Zero-Shot Analysis of Multimodal Classroom Behavior
arXiv (Cornell University) · 2026
- Can LLMs Reason About Attention? Towards Zero-Shot Analysis of Multimodal Classroom Behavior
arXiv (Cornell University) · 2026
- Visualizing 30 Years of CHI Research with Generative AI
2026
- Advancing Qualitative Analysis in Professional Disaster and Risk Communication: A Comparative Study of an Openai Chatgpt 3.5 Model-Enabled Method for Processing Complex Public Discourse
SSRN Electronic Journal · 2025
- A Reinforcement Learning Framework for N-Ary Document-Level Relation Extraction
IEEE Transactions on Big Data · 2024
- Curriculum comparison: chemical and mechanical engineering education in the United States and Turkey
Australasian journal of engineering education · 2024
- Engineering students' interests in nonprofit and public policy careers: Applying a data‐driven approach to identifying contributing factors
Journal of Engineering Education · 2024
- Using Chatbots as Smart Teaching Assistants for First-Year Engineering Students
2024
- Harvesting tweets for a better understanding of Engineering Students' First-Year Experiences
2024
- A Thematic and Trend Analysis of Engineering Education for Sustainable Development
2024
- Explore Public's Perspectives on Generative AI in Computer Science (CS) Education: A Social Media Data Analysis
2024
- Factors Associated with Collaboration Networks in ASEE Conference Papers
2021 ASEE Virtual Annual Conference Content Access Proceedings · 2024
- arXiv (Cornell University)×7
- Journal of Engineering Education×6
- 2021 ASEE Virtual Annual Conference Content Access Proceedings×5
- SSRN Electronic Journal×4
- 2022 IEEE Frontiers in Education Conference (FIE)×4
- Carla Zoltowski
Engineering · Purdue University West Lafayette
- Brent Jesiek
Engineering · Purdue University West Lafayette
- Xiaofeng Tang
Engineering · The Ohio State University
- Benjamin Ahn
Engineering · The Ohio State University
- Anne Lucietto
Engineering · Purdue University West Lafayette
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
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