Integrated parallel printing systems with hypermodular architecture. - David Biegelsen; Lara S. Crawford; Minh Do; Dave Duff; Craig Eldershaw; Markus P. J. Fromherz; Haitham A. Hindi; Gregory Kott; Daniel Larner; Barry Mandel; Steven Moore; Bryan Preas; et al. (Parallel Processing for Imaging Applications, 2011)

Usability and Usage of Interactive Features in an Online Ebook for CS Teachers. - Barbara Ericson; Steven Moore; Briana B. Morrison; Mark Guzdial (WiPSCE, 2015)

Cisco's Enhanced Interior Gateway Routing Protocol (EIGRP). - Donnie V. Savage; James Ng; Steven Moore; Donald Slice; Peter Paluch; Russ White (RFC, 2016)

Moonstone: Support for understanding and writing exception handling code. - Florian Kistner; Mary Beth Kery; Michael Puskas; Steven Moore; Brad A. Myers (VL/HCC, 2017)

Exploring Teachable Humans and Teachable Agents: Human Strategies Versus Agent Policies and the Basis of Expertise. - John C. Stamper; Steven Moore (AIED (2), 2019)

Exploring Expertise through Visualizing Agent Policies and Human Strategies in Open-Ended Games. - Steven Moore; John C. Stamper (EDM (Workshops), 2019)

Decision Support for an Adversarial Game Environment Using Automatic Hint Generation. - Steven Moore; John C. Stamper (ITS, 2019)

Evaluating Crowdsourcing and Topic Modeling in Generating Knowledge Components from Explanations. - Steven Moore; Huy Anh Nguyen; John C. Stamper (AIED (1), 2020)

Utilizing Crowdsourcing and Topic Modeling to Generate Knowledge Components for Math and Writing Problems. - Steven Moore; Huy Nugyen; John C. Stamper (ICCE, 2020)

Crowdsourcing Explanations for Improving Assessment Content and Identifying Knowledge Components. - Steven Moore; Huy Anh Nguyen; John C. Stamper (ICLS, 2020)

Towards Crowdsourcing the Identification of Knowledge Components. - Steven Moore; Huy Anh Nguyen; John C. Stamper (L@S, 2020)

A Human-Centered Approach to Data Driven Iterative Course Improvement. - Steven Moore; John C. Stamper; Norman L. Bier; Mary Jean Blink (REV, 2020)

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 (LAK, 2021)

Examining the Effects of Student Participation and Performance on the Quality of Learnersourcing Multiple-Choice Questions. - Steven Moore; Huy Anh Nguyen; John C. Stamper (L@S, 2021)

Assessing the Quality of Student-Generated Short Answer Questions Using GPT-3. - Steven Moore; Huy Anh Nguyen; Norman L. Bier; Tanvi Domadia; John C. Stamper (EC-TEL, 2022)

Towards Generalized Methods for Automatic Question Generation in Educational Domains. - Huy Anh Nguyen; Shravya Bhat; Steven Moore; Norman L. Bier; John C. Stamper (EC-TEL, 2022)

Towards Automated Generation and Evaluation of Questions in Educational Domains. - Shravya Bhat; Huy Anh Nguyen; Steven Moore; John C. Stamper; Majd Sakr; Eric Nyberg (EDM, 2022)

Learnersourcing: Student-generated Content @ Scale. - Steven Moore; John C. Stamper; Christopher Brooks 001; Paul Denny 001; Hassan Khosravi (L@S, 2022)

Empowering Education with LLMs - The Next-Gen Interface and Content Generation. - Steven Moore; Richard Jiarui Tong; Anjali Singh; Zitao Liu 001; Xiangen Hu; Yu Lu 003; Joleen Liang; Chen Cao 005; Hassan Khosravi; Paul Denny 001; Christopher Brooks 001; John C. Stamper (AIED (Posters/Late Breaking Results/...), 2023)

fAIlureNotes: Supporting Designers in Understanding the Limits of AI Models for Computer Vision Tasks. - Steven Moore; Q. Vera Liao; Hariharan Subramonyam (CHI, 2023)

Developing an Automated Evaluation Tool for Multiple-Choice Questions. - Steven Moore (EC-TEL (Doctoral Consortium), 2023)

Assessing the Quality of Multiple-Choice Questions Using GPT-4 and Rule-Based Methods. - Steven Moore; Huy Anh Nguyen; Tianying Chen 001; John C. Stamper (EC-TEL, 2023)

Tracking Knowledge for Learning Japanese as a 2nd Language. - Tomoko Okimoto; Matthew W. Johnson 001; Huy Anh Nguyen; Steven Moore; Michael Eagle; John C. Stamper (ICCE, 2023)

Crowdsourcing the Evaluation of Multiple-Choice Questions Using Item-Writing Flaws and Bloom's Taxonomy. - Steven Moore; Ellen Fang; Huy Anh Nguyen; John C. Stamper (L@S, 2023)

Learnersourcing in the age of AI: Student, educator and machine partnerships for content creation. - Hassan Khosravi; Paul Denny 001; Steven Moore; John C. Stamper (Comput. Educ. Artif. Intell., 2023)

An Automatic Question Usability Evaluation Toolkit. - Steven Moore; Eamon Costello; Huy Anh Nguyen; John C. Stamper (AIED (2), 2024)

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; et al. (EDM, 2024)

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 (CSEDM@EDM, 2024)

Learnersourcing: Student-generated Content @ Scale: 2nd Annual Workshop. - Steven Moore; Anjali Singh; Xinyi Lu; Hyoungwook Jin; Hassan Khosravi; Paul Denny 001; Christopher Brooks 001; Xu Wang 016; Juho Kim 001; John C. Stamper (L@S, 2024)

Automated Generation and Tagging of Knowledge Components from Multiple-Choice Questions. - Steven Moore; Robin Schmucker; Tom M. Mitchell; John C. Stamper (L@S, 2024)

Toward Transparent AI for Neurological Disorders: A Feature Extraction and Relevance Analysis Framework. - Mitchell D. Woodbright; Ahsan Morshed; Matthew Browne; Biplob Ray; Steven Moore (IEEE Access, 2024)

Generative AI for Education (GAIED): Advances, Opportunities, and Challenges. - Paul Denny 001; Sumit Gulwani; Neil T. Heffernan; Tanja Käser; Steven Moore; Anna N. Rafferty; Adish Singla (CoRR, 2024)

Generative AI in Instructional Design Education: Effects on Novice Microlesson Quality. - Steven Moore; Lydia Eckstein; Christine Kwon; John C. Stamper (AIED (4), 2025)

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; et al. (LAK, 2025)

The Impact of Item-Writing Flaws on Difficulty and Discrimination in Item Response Theory. - Robin Schmucker; Steven Moore (CoRR, 2025)