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2020 – today
- 2024
[j2]Mitchell D. Woodbright
, Ahsan Morshed, Matthew Browne, Biplob Ray, Steven Moore:
Toward Transparent AI for Neurological Disorders: A Feature Extraction and Relevance Analysis Framework. IEEE Access 12: 37731-37743 (2024)- [c26]Steven Moore, Eamon Costello, Huy Anh Nguyen, John C. Stamper:
An Automatic Question Usability Evaluation Toolkit. AIED (2) 2024: 31-46 - [c25]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:
Leveraging Large Language Models for Next-Generation Educational Technologies. EDM 2024 - [c24]Ruiwei Xiao, Xinying Hou, Harsh Kumar, Steven Moore, John C. Stamper, Michael Liut:
A Preliminary Analysis of Students' Help Requests with an LLM-powered Chatbot when Completing CS1 Assignments. CSEDM@EDM 2024 - [c23]Steven Moore, Robin Schmucker, Tom M. Mitchell, John C. Stamper:
Automated Generation and Tagging of Knowledge Components from Multiple-Choice Questions. L@S 2024: 122-133 - [c22]Steven Moore, Anjali Singh, Xinyi Lu, Hyoungwook Jin, Hassan Khosravi, Paul Denny, Christopher Brooks, Xu Wang, Juho Kim, John C. Stamper:
Learnersourcing: Student-generated Content @ Scale: 2nd Annual Workshop. L@S 2024: 559-562 - [i7]Paul Denny, Sumit Gulwani, Neil T. Heffernan, Tanja Käser, Steven Moore, Anna N. Rafferty, Adish Singla:
Generative AI for Education (GAIED): Advances, Opportunities, and Challenges. CoRR abs/2402.01580 (2024) - [i6]Steven Moore, Robin Schmucker, Tom M. Mitchell, John C. Stamper:
Automated Generation and Tagging of Knowledge Components from Multiple-Choice Questions. CoRR abs/2405.20526 (2024) - [i5]Steven Moore, Eamon Costello, Huy Anh Nguyen, John C. Stamper:
An Automatic Question Usability Evaluation Toolkit. CoRR abs/2405.20529 (2024) - 2023
- [j1]Hassan Khosravi, Paul Denny, Steven Moore, John C. Stamper:
Learnersourcing in the age of AI: Student, educator and machine partnerships for content creation. Comput. Educ. Artif. Intell. 5: 100151 (2023) - [c21]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:
Empowering Education with LLMs - The Next-Gen Interface and Content Generation. AIED (Posters/Late Breaking Results/...) 2023: 32-37 - [c20]Steven Moore, Q. Vera Liao, Hariharan Subramonyam:
fAIlureNotes: Supporting Designers in Understanding the Limits of AI Models for Computer Vision Tasks. CHI 2023: 10:1-10:19 - [c19]Steven Moore:
Developing an Automated Evaluation Tool for Multiple-Choice Questions. EC-TEL (Doctoral Consortium) 2023: 26-30 - [c18]Steven Moore, Huy Anh Nguyen, Tianying Chen, John C. Stamper:
Assessing the Quality of Multiple-Choice Questions Using GPT-4 and Rule-Based Methods. EC-TEL 2023: 229-245 - [c17]Steven Moore, Ellen Fang, Huy Anh Nguyen, John C. Stamper:
Crowdsourcing the Evaluation of Multiple-Choice Questions Using Item-Writing Flaws and Bloom's Taxonomy. L@S 2023: 25-34 - [e2]Steven Moore, John C. Stamper, Richard Jiarui Tong, Chen Cao, Zitao Liu, Xiangen Hu, Yu Lu, Joleen Liang, Hassan Khosravi, Paul Denny, Anjali Singh, Christopher Brooks:
Proceedings of the Workshop on Empowering Education with LLMs - the Next-Gen Interface and Content Generation 2023 co-located with 24th International Conference on Artificial Intelligence in Education (AIED 2023), Tokyo, Japan, July 7, 2023. CEUR Workshop Proceedings 3487, CEUR-WS.org 2023 [contents] - [e1]Steven Moore, John C. Stamper, Paul Denny, Hassan Khosravi, Christopher Brooks:
Proceedings of the Workshop on Learnersourcing: Student-Generated Content @ Scale 2022 co-located with 9th ACM Conference on Learning @ Scale (L@S 2022), New York City, United States, June 1, 2022. CEUR Workshop Proceedings 3410, CEUR-WS.org 2023 [contents] - [i4]Steven Moore, Q. Vera Liao, Hariharan Subramonyam:
fAIlureNotes: Supporting Designers in Understanding the Limits of AI Models for Computer Vision Tasks. CoRR abs/2302.11703 (2023) - [i3]Hassan Khosravi, Paul Denny, Steven Moore, John C. Stamper:
Learnersourcing in the Age of AI: Student, Educator and Machine Partnerships for Content Creation. CoRR abs/2306.06386 (2023) - [i2]Steven Moore, Huy Anh Nguyen, Tianying Chen, John C. Stamper:
Assessing the Quality of Multiple-Choice Questions Using GPT-4 and Rule-Based Methods. CoRR abs/2307.08161 (2023) - 2022
- [c16]Steven Moore, Huy Anh Nguyen, Norman L. Bier, Tanvi Domadia, John C. Stamper:
Assessing the Quality of Student-Generated Short Answer Questions Using GPT-3. EC-TEL 2022: 243-257 - [c15]Huy Anh Nguyen, Shravya Bhat, Steven Moore, Norman L. Bier, John C. Stamper:
Towards Generalized Methods for Automatic Question Generation in Educational Domains. EC-TEL 2022: 272-284 - [c14]Shravya Bhat, Huy Anh Nguyen, Steven Moore, John C. Stamper, Majd Sakr, Eric Nyberg:
Towards Automated Generation and Evaluation of Questions in Educational Domains. EDM 2022 - [c13]Steven Moore, John C. Stamper, Christopher Brooks, Paul Denny, Hassan Khosravi:
Learnersourcing: Student-generated Content @ Scale. L@S 2022: 259-262 - 2021
- [c12]Huy Anh Nguyen, Michelle Lim, Steven Moore, Eric Nyberg, Majd Sakr, John C. Stamper:
Exploring Metrics for the Analysis of Code Submissions in an Introductory Data Science Course. LAK 2021: 632-638 - [c11]Steven Moore, Huy Anh Nguyen, John C. Stamper:
Examining the Effects of Student Participation and Performance on the Quality of Learnersourcing Multiple-Choice Questions. L@S 2021: 209-220 - 2020
- [c10]Steven Moore, Huy Anh Nguyen, John C. Stamper:
Evaluating Crowdsourcing and Topic Modeling in Generating Knowledge Components from Explanations. AIED (1) 2020: 398-410 - [c9]Steven Moore, Huy Anh Nguyen, John C. Stamper:
Crowdsourcing Explanations for Improving Assessment Content and Identifying Knowledge Components. ICLS 2020 - [c8]Steven Moore, Huy Anh Nguyen, John C. Stamper:
Towards Crowdsourcing the Identification of Knowledge Components. L@S 2020: 245-248 - [c7]Steven Moore, John C. Stamper, Norman L. Bier, Mary Jean Blink:
A Human-Centered Approach to Data Driven Iterative Course Improvement. REV 2020: 742-761
2010 – 2019
- 2019
- [c6]John C. Stamper, Steven Moore:
Exploring Teachable Humans and Teachable Agents: Human Strategies Versus Agent Policies and the Basis of Expertise. AIED (2) 2019: 269-274 - [c5]Steven Moore, John C. Stamper:
Exploring Expertise through Visualizing Agent Policies and Human Strategies in Open-Ended Games. EDM (Workshops) 2019: 30-37 - [c4]Steven Moore, John C. Stamper:
Decision Support for an Adversarial Game Environment Using Automatic Hint Generation. ITS 2019: 82-88 - 2017
- [c3]Florian Kistner, Mary Beth Kery, Michael Puskas, Steven Moore, Brad A. Myers:
Moonstone: Support for understanding and writing exception handling code. VL/HCC 2017: 63-71 - 2016
- [i1]Donnie V. Savage, James Ng, Steven Moore, Donald Slice, Peter Paluch, Russ White:
Cisco's Enhanced Interior Gateway Routing Protocol (EIGRP). RFC 7868: 1-80 (2016) - 2015
- [c2]Barbara Ericson, Steven Moore, Briana B. Morrison, Mark Guzdial:
Usability and Usage of Interactive Features in an Online Ebook for CS Teachers. WiPSCE 2015: 111-120 - 2011
- [c1]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:
Integrated parallel printing systems with hypermodular architecture. Parallel Processing for Imaging Applications 2011: 787206
Coauthor Index
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last updated on 2024-10-31 20:12 CET by the dblp team
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