Research Statement
Dr. Katz leads the IDEEAS Lab (Innovation, Decision-making, Engineering Education, and Analytics Systems), where his research sits at the intersection of artificial intelligence, natural language processing, and engineering education. His work asks how modern AI and machine learning methods can responsibly scale qualitative and quantitative analysis of educational data, from large-scale thematic analysis of open-ended student responses, to vision-language analysis of concept maps, to large language models that scaffold student self-regulated learning. A through-line across these projects is keeping human judgment central: the lab designs AI-assisted research workflows that remain inspectable and accountable rather than treating models as black-box oracles. He also studies how faculty form mental models of generative AI and translate them into instructional decisions, and how data-informed systems can support better decision-making in engineering education and practice. The lab pairs methodological development with building usable software, so that research methods become tools others can apply.
Education
- Ph.D. in Engineering Education, Purdue University
- M.S. in Environmental Engineering, Texas A&M University
- B.S. in Chemical Engineering, Tulane University
Selected Publications
- Thematic analysis with open-source generative AI and machine learning: A new method for inductive qualitative codebook development
Andrew Katz, Gabriella Coloyan Fleming, Joyce B. Main · Humanities and Social Sciences Communications · 2026
- Using generative AI for large-scale qualitative analysis of social media posts to understand why people leave computer science
Amanda Ross, Andrew Katz · Journal of Engineering Education · 2025
- 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 Posts
Margaret Webb, Harman Singh, Rachel Inman, Sweta Baniya, Andrew Katz · International Journal of Disaster Risk Reduction · 2025
- Expanding possibilities for generative AI in qualitative analysis: Fostering student feedback literacy through the application of a feedback quality rubric
Katherine Drinkwater Gregg, Olivia Ryan, Andrew Katz, Mark Huerta, Susan Sajadi · Journal of Engineering Education · 2025
- Automated Analysis of Knowledge Types in Computer Science Textbooks: A Natural Language Processing Approach to Understanding Epistemic Climate
Mitchell Gerhardt, Andrew Katz · Proceedings of the 2025 ASEE Annual Conference & Exposition · 2025
- Leveraging Generative Text Models and Natural Language Processing to Perform Traditional Thematic Data Analysis
Isil Anakok, Andrew Katz, Kai Jun Chew, Holly Matusovich · International Journal of Qualitative Methods · 2025
- Understanding instructor decision-making in engineering education for sustainable development: a comparison of institutions in Denmark and the United States
Maya Menon, Marie C. Paretti, Jennifer M. Case, Andrew S. Katz · European Journal of Engineering Education · 2025
- Curriculum comparison: chemical and mechanical engineering education in the United States and Turkey
Hatice Cilsalar-Sagnak, Isil Anakok, Andrew Katz · Australasian Journal of Engineering Education · 2025
- Engineering students' interests in nonprofit and public policy careers: Applying a data-driven approach to identifying contributing factors
Dayoung Kim, Andrew Katz · Journal of Engineering Education · 2025
- A Reinforcement Learning Framework for N-Ary Document-Level Relation Extraction
C. Yuan, R. Rossi, A. Katz, H. Eldardiry · IEEE Transactions on Big Data · 2024
- From Manual Coding to Machine Understanding: Students' Feedback Analysis
A. Alsharif, A. Katz · Proceedings of the 131st Annual Conference of the American Society for Engineering Education · 2024
- How do ethics and diversity, equity, and inclusion relate in engineering? A systematic review
J. L. Hess, A. Lin, A. Whitehead, A. Katz · Journal of Engineering Education · 2024
- Inspiring Sustainability in Undergraduate Engineering Programs
T. Griesinger, K. Reid, D. Knight, A. Katz, J. Somers · Sustainability · 2024
- Novel Approach Designing Interview Protocols with Generative Large Language Models to Study Mental Models and Engineering Design
F. Bilow, M. Paretti, T. Shealy, A. Katz · Proceedings of the 131st Annual Conference of the American Society for Engineering Education · 2024
- Paradigm Shift? Preliminary Findings of Engineering Faculty Members’ Mental Models of Assessment in the Era of Generative AI
I. Anakok, K. Chew, H. Matusovich, A. Katz · Proceedings of the 131st Annual Conference of the American Society for Engineering Education · 2024
- Skill Development of Engineering and Physical Science Doctoral Students: Understanding the Role of Advisor, Faculty, and Peer Interactions
A. Alsharif, M. Denton, D. Knight, M. Borrego, A. Katz · Proceedings of the 131st Annual Conference of the American Society for Engineering Education · 2024
- Stumbling Our Way Through Finding a Better Prompt: Using GPT-4 to Analyze Engineering Faculty’s Mental Models of Assessment
A. Ross, A. Katz, K. Chew, H. Matusovich · Proceedings of the 131st Annual Conference of the American Society for Engineering Education · 2024
- Thematic Analysis with Open-Source Generative AI and Machine Learning: A New Method for Inductive Qualitative Codebook Development
Andrew Katz, Gabriella Coloyan Fleming, Joyce Main · arXiv preprint · 2024
- Using Generative Text Models to Create Qualitative Codebooks for Student Evaluations of Teaching
Andrew Katz, Mitch Gerhardt, Michelle Soledad · International Journal of Qualitative Methods · 2024
- Using Generative Text Models to Create Qualitative Codebooks for Student Evaluations of Teaching
A. Katz, M. Gerhardt, M. Soledad · arXiv preprint · 2024
- What engineering employers want: An analysis of technical and professional skills in engineering job advertisements
G. C. Fleming, M. Klopfer, A. Katz, D. Knight · Journal of Engineering Education · 2024
- Advanced Considerations in Quantitative Methods for New Directions in Engineering Education Research
A. Katz, A. Godwin, C. Brozina · International Handbook of Engineering Education Research · 2023
- Advancing qualitative analysis: An exploration of the potential of generative AI and NLP in thematic coding
Yasir Gamieldien, Jennifer M Case, Andrew Katz · Available at SSRN 4487768 · 2023
- Exploring Faculty Members' Conceptualizations of Diversity, Equity, and Inclusion in Engineering Education
I. Anakok, J. Hess, S. Panuganti, A. Katz · IEEE Frontiers in Education Conference (FIE) · 2023
- Exploring NLP-based Methods for Generating Engineering Ethics Assessment Qualitative Codebooks
A. Hingle, A. Katz, A. Johri · IEEE Frontiers in Education Conference (FIE) · 2023
- Exploring the Efficacy of ChatGPT in Analyzing Student Teamwork Feedback with an Existing Taxonomy
A. Katz, S. Wei, G. Nanda, C. Brinton, M. Ohland · arXiv preprint · 2023
- Exploring the Impact of Engineering Projects in Community Service on Engineering Students’ Perspectives about Engineering as a Major
I. Anakok, M. Huerta, A. Katz · IEEE Frontiers in Education Conference (FIE) · 2023
- How Participating in Extracurricular Activities Supports Dimensions of Student Wellness
B. Johnson, J. Main, A. Katz · IEEE Frontiers in Education Conference (FIE) · 2023
- Promoting Research Quality to Study Mental Models of Ethics and Diversity, Equity, and Inclusion (DEI) in Engineering
J. Hess, A. Katz, I. Anakok, B. Jesiek, A. Whitehead, S. Panuganti · Proceedings of the 130th Annual Conference of the American Society for Engineering Education · 2023
- Pushing Ethics Assessment Forward in Engineering: NLP-Assisted Qualitative Coding of Student Responses
U. Shakir, J. Hess, M. James, A. Katz · Proceedings of the 130th Annual Conference of the American Society for Engineering Education · 2023
- The Utility of Large Language Models and Generative AI for Education Research
A. Katz, U. Shakir, B. Chambers · arXiv preprint · 2023
- Utilizing Natural Language Processing to Examine Self-Reflections in Self-Regulated Learning
Yasir Gamieldien, Rachel McCord, Andrew Katz · Available at SSRN 4487795 · 2023
- WIP: Faculty Use of Metaphors When Discussing Assessment
A. Ross, A. Katz, H. Matusovich, K. Chew · Proceedings of the 130th Annual Conference of the American Society for Engineering Education · 2023
- A Thematic and Trend Analysis of Engineering Education for Sustainable Development
M. Menon, A. Katz, M. Paretti · 2022 ASEE Annual Conference \& Exposition · 2022
- An Empirical Study of Programming Languages Specified in Engineering Job Postings
L. Schibelius, A. Ross, A. Katz · 2022 ASEE Annual Conference \& Exposition · 2022
- Analysis of Advances in Engineering Education Publications (2007-2020) to Examine Impact and Coverage of Topics
A. Katz, C. Brozina, A. Johri, L. Shuman · 2022 IEEE Frontiers in Education Conference (FIE) · 2022
- Applying concepts from political science and economics to advance the study of engineering education
A. Katz, J. Main · Studies in Engineering Education · 2022
- Augmented Reality for Sustainable Collaborative Design
S. Yan, E. Kang, A. Katz, A. Hira · 2022 ASEE Annual Conference \& Exposition · 2022
- Clustering-based unsupervised generative relation extraction
Chenhan Yuan, Ryan A Rossi, Andrew Katz, Hoda Eldardiry · 2022 IEEE International Conference on Big Data (Big Data) · 2022
- Collateral Damage: Investigating the Impacts of COVID on STEM Professionals with Caregiving Responsibilities
A. Maltese, K. Paul, J. Kim, A. Godwin, A. Katz, A. Diekman · 2022 ASEE Annual Conference \& Exposition · 2022
- Defining Assessment: Foundation Knowledge Toward Exploring Engineering Faculty’s Assessment Mental Models
K. Chew, A. Ross, A. Katz, H. M. Matusovich · 2022 IEEE Frontiers in Education Conference (FIE) · 2022
- Development of hybrid laboratory sessions during the COVID-19 Pandemic
M. Szoke, A. Katz, A. Borgoltz, W. J. Devenport · Advances in Engineering Education · 2022
- Students’ Feedback About Their Experiences in EPICS Using Natural Language Processing
I. Anakok, J. Woods, M. Huerta, J. Schoepf, H. Murzi, A. Katz · 2022 IEEE Frontiers in Education Conference (FIE) · 2022
- Understanding First-year Engineering Students’ Perceptions of Working with Real Stakeholders on a Design Project: A PBL Approach
H. Murzi, L. Fielding, M. Huerta, J. O. Alvarez, M. James, A. Katz, J. Grohs · 2022 IEEE Frontiers in Education Conference (FIE) · 2022
- Using Natural Language Processing to Explore Undergraduate Students’ Perspectives of Social Class, Gender, and Race
U. Shakir, S. Ovink, A. Katz · 2022 ASEE Annual Conference \& Exposition · 2022
- Using Sentiment Analysis to Evaluate First-year Engineering Students Teamwork Textual Feedback
A. Alsharif, A. Katz, D. Knight, S. Alatwah · 2022 ASEE Annual Conference \& Exposition · 2022
- Work-in-Progress: Using Latent Dirichlet Allocation to uncover themes in student comments from peer evaluations of teamwork
G. Nanda, S. Wei, M. Ohland, A. Katz, C. Brinton · 2022 ASEE Annual Conference \& Exposition · 2022
- Civil Engineering Students’ Beliefs about Global Warming and Misconceptions about Climate Science
T. Shealy, A. Katz, A. Godwin, M. Bell · Journal of Civil Engineering Education · 2021
- Engineering ethics in engineering design courses: A preliminary investigation
A. Katz, U. Shakir, I. Anakok, H. Murzi · American Society for Engineering Education Annual Conference · 2021
- Factors associated with collaboration networks in ASEE conference papers
S. Abdelhamid, A. Katz · American Society for Engineering Education Annual Conference · 2021
- Figurative language in computer education: Evidence from YouTube instructional videos
S. Abdelhamid, A. Katz · American Society for Engineering Education Annual Conference · 2021
- Higher perceived design thinking traits and active learning in design courses motivate engineering students to tackle energy sustainability in their careers
J. Milovanovic, T. Shealy, A. Katz · Sustainability · 2021
- Predicting engineering students’ desire to address climate change in their careers: An exploratory study using responses from a U.S. National survey
T. Shealy, A. Katz, A. Godwin · Environmental Education Research · 2021
- Taking stock: An Analysis of IJEE publications from 1996--2020 to examine impact and coverage of topics
C. Brozina, A. Katz, A. Johri · International Journal of Engineering Education · 2021
- The correlation between undergraduate student diversity and the representation of women of color faculty in engineering
J. Main, L. Tan, M. Cox, E. McGee, A. Katz · Journal of Engineering Education · 2021
- Using natural language processing to facilitate student feedback analysis
A. Katz, M. Norris, A. Alsharif, M. Klopfer, D. Knight, J. Grohs · American Society for Engineering Education Annual Conference · 2021
- Your views can be my views: Understanding differences in paradigms held by traditionally marginalized students in engineering
Q. Ketchum, M. C. Paretti, H. Murzi, A. Katz · American Society for Engineering Education Annual Conference · 2021
- An Investigation of When and Where Ethics Appears in Undergraduate Engineering Curricula
A. Katz, U. Shakir · 2020 ASEE Virtual Annual Conference · 2020
- Civil Engineering Students’ Beliefs about the Technical and Social Implications of Global Warming and When Global Warming Will Impact Them Personally and Others
A. Katz, T. Shealy, A. Godwin · 2020 ASEE Virtual Annual Conference · 2020
- Clustering-based Unsupervised Generative Relation Extraction
C. Yuan, R. Rossi, A. Katz, H. Eldardiry · arXiv preprint · 2020
- Harvesting tweets for a better understanding of engineering students' first-year experiences
S. Abdelhamid, A. Katz · 2020 First-Year Engineering Experience Conference · 2020
- Overcoming Challenges to Enhance a First Year Engineering Ethics Curriculum
A. Katz, K. Reid, D. Riley, N. Van Tyne · Advances in Engineering Education · 2020
- Reinforcement Learning-based N-ary Cross-Sentence Relation Extraction
C. Yuan, R. Rossi, A. Katz, H. Eldardiry · arXiv preprint · 2020
- Using Chatbots as Smart Teaching Assistants for First-Year Engineering Students
S. Abdelhamid, A. Katz · 2020 First-Year Engineering Experience Conference · 2020
- Monetizing Life May Be the Ethical Thing to Do
A. Salado, A. Katz · 2019 American Society for Engineering Education Annual Conference · 2019
- Investigating influences on first-year engineering students’ views of ethics and social responsibility
S. Nittala, T. Zephirin, S. M. J. Howland, D. Kim, A. Katz, B. K. Jesiek · American Society for Engineering Education Annual Conference · 2018
- Learning from failures: Engineering education in an age of academic capitalism
A. Katz, D. Riley · American Society for Engineering Education Annual Conference · 2018
- Factors related to faculty views of undergraduate engineering ethics education
A. Katz, D. Knight · American Society for Engineering Education Annual Conference · 2017
- Telling it like it was: Histories of change in engineering ethics education
M. Davis, J. Herkert, M. Loui, I. Nair, S. Pfatteicher, M. Pritchard, A. Katz · Panel Session at the Association for Practical and Professional Ethics Annual Conference · 2017
- Addressing the state of higher education in State of the Union Addresses
A. Katz · Association for the Study of Higher Education Annual Conference · 2016
- Shadow codes of engineering ethics: An experiment in ethics imaginaries
A. Katz, Y. Lambrinidou, D. M. Riley · Association for Practical and Professional Ethics Annual Conference · 2016
- The revealing effects of disaster: A case study from Tulane University
A. Katz · American Society for Engineering Education Annual Conference · 2016
- Educating for a revolution: Discerning together the Highlander idea and its lessons for ESJP’s work
D. Riley, A. Katz · Engineering, Social Justice, and Peace Annual Conference · 2015
Selected Projects
- CAREER: Minds and Machines: Exploring Engineering Faculty Member Mental Models of Generative AI and Instructional Decisions
- Design for Sustainability: How Mental Models of Social-Ecological Systems Shape Engineering Design Decisions
- EAGER: Natural Language Processing for Teaching and Research in Engineering Education (NLPTREE)
- Using Large Language Models and Generative AI to Scale Qualitative Data Analysis
- Structures and Machines: An Interdisciplinary Approach to Mapping the Policy Implications of Generative AI in Higher Education