Steven Moore

According to our database, Steven Moore authored at least 30 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Generative AI for Education (GAIED): Advances, Opportunities, and Challenges.

Paul Denny, Sumit Gulwani, Neil T. Heffernan, Tanja Käser, Steven Moore, Anna N. Rafferty, Adish Singla

CoRR, 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

Automated Generation and Tagging of Knowledge Components from Multiple-Choice Questions.

Steven Moore, Robin Schmucker, Tom M. Mitchell, John C. Stamper

Proceedings of the Eleventh ACM Conference on Learning @ Scale, 2024

Learnersourcing: Student-generated Content @ Scale: 2nd Annual Workshop.

Steven Moore, Anjali Singh, Xinyi Lu, Hyoungwook Jin, Hassan Khosravi, Paul Denny, Christopher Brooks, Xu Wang, Juho Kim, John C. Stamper

Proceedings of the Eleventh ACM Conference on Learning @ Scale, 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

Proceedings of 8th Educational Data Mining in Computer Science Education Workshop (CSEDM 2024) co-located with the 17th Educational Data Mining Conference (EDM 2024), 2024

Leveraging Large Language Models for Next-Generation Educational Technologies.

Neil T. Heffernan, Rose Wang, Christopher MacLellan, Arto Hellas, Chenglu Li, Candace Walkington, Joshua Littenberg-Tobias, David Joyner, Steven Moore, Adish Singla, Zach Pardos, Maciej Pankiewicz, Juho Kim, Shashank Sonkar, Clayton Cohn, Anthony Botelho, Andrew Lan, Lan Jiang, Mingyu Feng, Tanja Käser, Eamon Worden

Proceedings of the 17th International Conference on Educational Data Mining, 2024

An Automatic Question Usability Evaluation Toolkit.

Steven Moore, Eamon Costello, Huy Anh Nguyen, John C. Stamper

Proceedings of the Artificial Intelligence in Education - 25th International Conference, 2024

2023

Learnersourcing in the age of AI: Student, educator and machine partnerships for content creation.

Hassan Khosravi, Paul Denny, Steven Moore, John C. Stamper

Comput. Educ. Artif. Intell., 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

Proceedings of the Tenth ACM Conference on Learning @ Scale, 2023

Assessing the Quality of Multiple-Choice Questions Using GPT-4 and Rule-Based Methods.

Steven Moore, Huy Anh Nguyen, Tianying Chen, John C. Stamper

Proceedings of the Responsive and Sustainable Educational Futures, 2023

Developing an Automated Evaluation Tool for Multiple-Choice Questions.

Steven Moore

Proceedings of the Doctoral Consortium of the 18th European Conference on Technology Enhanced Learning (DCECTEL 2023) co-located with the 18th European Conference on Technology Enhanced Learning (EC-TEL 2023), 2023

fAIlureNotes: Supporting Designers in Understanding the Limits of AI Models for Computer Vision Tasks.

Steven Moore, Q. Vera Liao, Hariharan Subramonyam

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

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

Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky, 2023

2022

Learnersourcing: Student-generated Content @ Scale.

Steven Moore, John C. Stamper, Christopher Brooks, Paul Denny, Hassan Khosravi

Proceedings of the L@S'22: Ninth ACM Conference on Learning @ Scale, New York City, NY, USA, June 1, 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

Proceedings of the 15th International Conference on Educational Data Mining, 2022

Towards Generalized Methods for Automatic Question Generation in Educational Domains.

Huy Anh Nguyen, Shravya Bhat, Steven Moore, Norman L. Bier, John C. Stamper

Proceedings of the Educating for a New Future: Making Sense of Technology-Enhanced Learning Adoption, 2022

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

Proceedings of the Educating for a New Future: Making Sense of Technology-Enhanced Learning Adoption, 2022

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

Proceedings of the L@S'21: Eighth ACM Conference on Learning @ Scale, 2021

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

Proceedings of the LAK'21: 11th International Learning Analytics and Knowledge Conference, 2021

2020

A Human-Centered Approach to Data Driven Iterative Course Improvement.

Steven Moore, John C. Stamper, Norman L. Bier, Mary Jean Blink

Proceedings of the Cross Reality and Data Science in Engineering, 2020

Towards Crowdsourcing the Identification of Knowledge Components.

Steven Moore, Huy Anh Nguyen, John C. Stamper

Proceedings of the L@S'20: Seventh ACM Conference on Learning @ Scale, 2020

Crowdsourcing Explanations for Improving Assessment Content and Identifying Knowledge Components.

Steven Moore, Huy Anh Nguyen, John C. Stamper

Proceedings of the Interdisciplinarity in the Learning Sciences: Proceedings of the 14th International Conference of the Learning Sciences, 2020

Evaluating Crowdsourcing and Topic Modeling in Generating Knowledge Components from Explanations.

Steven Moore, Huy Anh Nguyen, John C. Stamper

Proceedings of the Artificial Intelligence in Education - 21st International Conference, 2020

2019

Decision Support for an Adversarial Game Environment Using Automatic Hint Generation.

Steven Moore, John C. Stamper

Proceedings of the Intelligent Tutoring Systems - 15th International Conference, 2019

Exploring Expertise through Visualizing Agent Policies and Human Strategies in Open-Ended Games.

Steven Moore, John C. Stamper

Proceedings of the Joint Proceedings of the Workshops of the 12th International Conference on Educational Data Mining co-located with the 12th International Conference on Educational Data Mining, 2019

Exploring Teachable Humans and Teachable Agents: Human Strategies Versus Agent Policies and the Basis of Expertise.

John C. Stamper, Steven Moore

Proceedings of the Artificial Intelligence in Education - 20th International Conference, 2019

2017

Moonstone: Support for understanding and writing exception handling code.

Florian Kistner, Mary Beth Kery, Michael Puskas, Steven Moore, Brad A. Myers

Proceedings of the 2017 IEEE Symposium on Visual Languages and Human-Centric Computing, 2017

2016

Cisco's Enhanced Interior Gateway Routing Protocol (EIGRP).

Donnie V. Savage, James Ng, Steven Moore, Donald Slice, Peter Paluch, Russ White

RFC, May, 2016

2015

Usability and Usage of Interactive Features in an Online Ebook for CS Teachers.

Barbara Ericson, Steven Moore, Briana B. Morrison, Mark Guzdial

Proceedings of the Workshop in Primary and Secondary Computing Education, 2015

2011

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, Wheeler Ruml, Greg Schmitz, Lars Swartz, Rong Zhou

Proceedings of the Conference on Parallel Processing for Imaging Applications 2011, 2011