| 2026 | AIED | Tools, Teammates, or Threats? How Pedagogical Reasoning Shapes Novice Instructional Designers' Judgments About AI in Education. | Steven Moore, Christine Kwon |
| 2025 | AIED | Applications of Generative AI to Support Teaching and Learning in Higher Education: A Half-Day Workshop. | Ren F. Kizilcec, Ryan Shaun Baker, Christopher Brooks, Jadon Geathers, Yann Hicke, Steven Moore, Bo Wu |
| 2025 | AIED | Generative AI in Instructional Design Education: Effects on Novice Microlesson Quality. | Steven Moore, Lydia Eckstein, Christine Kwon, John C. Stamper |
| 2025 | LAK | Platform-based Adaptive Experimental Research in Education: Lessons Learned from The Digital Learning Challenge. | Ilya Musabirov, Mohi Reza, Haochen Song, Steven Moore, Pan Chen, Harsh Kumar, Tong Li, John C. Stamper, Norman L. Bier, Anna N. Rafferty, Thomas W. Price, Nina Deliu, Audrey Durand, Michael Liut, Joseph Jay Williams |
| 2024 | AIED | An Automatic Question Usability Evaluation Toolkit. | Steven Moore, Eamon Costello, Huy Anh Nguyen, John C. Stamper |
| 2024 | EDM | Leveraging Large Language Models for Next-Generation Educational Technologies. | Neil T. Heffernan, Rose E. Wang, Christopher MacLellan, Arto Hellas, Chenglu Li, Candace A. Walkington, Joshua Littenberg-Tobias, David Joyner, Steven Moore, Adish Singla, Zach A. Pardos, Maciej Pankiewicz, Juho Kim, Shashank Sonkar, Clayton Cohn, Anthony Botelho, Andrew S. Lan, Lan Jiang, Mingyu Feng, Tanja Kser, Eamon Worden |
| 2024 | EDM | A Preliminary Analysis of Students' Help Requests with an LLM-powered Chatbot when Completing CS1 Assignments. | Ruiwei Xiao, Xinying Hou, Harsh Kumar, Steven Moore, John C. Stamper, Michael Liut |
| 2023 | AIED | Empowering Education with LLMs - The Next-Gen Interface and Content Generation. | Steven Moore, Richard Jiarui Tong, Anjali Singh, Zitao Liu, Xiangen Hu, Yu Lu, Joleen Liang, Chen Cao, Hassan Khosravi, Paul Denny, Christopher Brooks, John C. Stamper |
| 2023 | CHI | fAIlureNotes: Supporting Designers in Understanding the Limits of AI Models for Computer Vision Tasks. | Steven Moore, Q. Vera Liao, Hariharan Subramonyam |
| 2023 | ICCE | Tracking Knowledge for Learning Japanese as a 2nd Language. | Tomoko Okimoto, Matthew W. Johnson, Huy Anh Nguyen, Steven Moore, Michael Eagle, John C. Stamper |
| 2022 | EDM | Towards Automated Generation and Evaluation of Questions in Educational Domains. | Shravya Bhat, Huy Anh Nguyen, Steven Moore, John C. Stamper, Majd Sakr, Eric Nyberg |
| 2021 | LAK | Exploring Metrics for the Analysis of Code Submissions in an Introductory Data Science Course. | Huy Anh Nguyen, Michelle Lim, Steven Moore, Eric Nyberg, Majd Sakr, John C. Stamper |
| 2020 | AIED | Evaluating Crowdsourcing and Topic Modeling in Generating Knowledge Components from Explanations. | Steven Moore, Huy Anh Nguyen, John C. Stamper |
| 2020 | ICCE | Utilizing Crowdsourcing and Topic Modeling to Generate Knowledge Components for Math and Writing Problems. | Steven Moore, Huy Nugyen, John C. Stamper |
| 2019 | AIED | Exploring Teachable Humans and Teachable Agents: Human Strategies Versus Agent Policies and the Basis of Expertise. | John C. Stamper, Steven Moore |
| 2019 | EDM | Exploring Expertise through Visualizing Agent Policies and Human Strategies in Open-Ended Games. | Steven Moore, John C. Stamper |
| 2019 | ITS | Decision Support for an Adversarial Game Environment Using Automatic Hint Generation. | Steven Moore, John C. Stamper |