Research & Publications

Conference & Journal Papers

A Computational Method for Measuring "Open Codes" in Qualitative Analysis

John Chen, Alexandros Lotsos, Sihan Cheng, Caiyi Wang, Lexie Zhao, Jessica Hullman, Bruce Sherin, Uri Wilensky, Michael Horn

arXiv 2025 [DOI]

Processes Matter: How ML/GAI Approaches Could Support Open Qualitative Coding of Online Discourse Datasets

John Chen, Alexandros Lotsos, Grace Wang, Lexie Zhao, Bruce Sherin, Uri Wilensky, Michael Horn

Proceedings of the 18th International Conference on Computer-Supported Collaborative Learning - CSCL 2025 2025 [DOI]

Conceptions of Design Practice From Academy to Industry: Implications for HCI and Design Education

Alexandros Lotsos, Yizhu Wang, Michael Stephen Horn

Proceedings of the 7th Annual Symposium on HCI Education 2025 [DOI]

The More Similar, the Better? Associations Between Latent Semantic Similarity and Emotional Experiences Differ Across Conversation Contexts

Chen-Wei Yu, Yun-Shiuan Chuang, Alexandros Lotsos, Tabea Meier, Claudia M. Haase

Journal of Language and Social Psychology 2025 [DOI]

Prompts Matter: Comparing ML/GAI Approaches for Generating Inductive Qualitative Coding Results

John Chen, Alexandros Lotsos, Lexie Zhao, Grace Wang, Uri Wilensky, Bruce Sherin, Michael Horn

arXiv 2024 [DOI]

Posters & Presentations

Navigating Pathways for Automated Inductive Coding with Generative AI/Topic Modeling: An Exploratory Study

John Chen, Alexandros Lotsos, Lexie Zhao, Grace Wang, Uri Wilensky, Bruce Sherin, Michael Stephen Horn

American Educational Research Association (AERA) 2025

Exploring ML/GAI Approaches for Inductive Qualitative Coding

Alexandros Lotsos, John Chen, Lexie Zhao, Grace Wang, Uri Wilensky, Bruce Sherin, Michael Stephen Horn

Symposium on AI, Education, and the Learning Sciences 2025

When LLMs Meet Grounded Theory: Generate and Evaluate Open-Ended Qualitative Codes through Human-AI Collaboration

John Chen, Alexandros Lotsos

Human-Computer Interaction Consortium (HCIC) 2024