| Assessing the quality of student-generated short answer questions using GPT-3 S Moore, HA Nguyen, N Bier, T Domadia, J Stamper European conference on technology enhanced learning, 243-257, 2022 | 83 | 2022 |
| Empowering education with llms-the next-gen interface and content generation S Moore, R Tong, A Singh, Z Liu, X Hu, Y Lu, J Liang, C Cao, H Khosravi, ... International Conference on Artificial Intelligence in Education, 32-37, 2023 | 37 | 2023 |
| Usability and usage of interactive features in an online ebook for CS teachers B Ericson, S Moore, B Morrison, M Guzdial Proceedings of the Workshop in Primary and Secondary Computing Education …, 2015 | 29 | 2015 |
| Examining the Effects of Student Participation and Performance on the Quality of Learnersourcing Multiple-Choice Questions S Moore, HA Nguyen, J Stamper Proceedings of the Eighth ACM Conference on Learning@ Scale, 209-220, 2021 | 28 | 2021 |
| Towards generalized methods for automatic question generation in educational domains HA Nguyen, S Bhat, S Moore, N Bier, J Stamper European conference on technology enhanced learning, 272-284, 2022 | 25 | 2022 |
| Towards Automated Generation and Evaluation of Questions in Educational Domains S Bhat, HA Nguyen, S Moore, J Stamper, M Sakr, E Nyberg International Educational Data Mining Society, 701-704, 2022 | 25 | 2022 |
| Assessing the Quality of Multiple-Choice Questions Using GPT-4 and Rule-Based Methods S Moore, HA Nguyen, T Chen, J Stamper Responsive and Sustainable Educational Futures: 18th European Conference on …, 2023 | 23 | 2023 |
| Assessing the Quality of Multiple-Choice Questions Using GPT-4 and Rule-Based Methods S Moore, HA Nguyen, T Chen, J Stamper European Conference on Technology Enhanced Learning, 229-245, 2023 | 23 | 2023 |
| Learnersourcing in the age of AI: Student, educator and machine partnerships for content creation H Khosravi, P Denny, S Moore, J Stamper Computers and Education: Artificial Intelligence 5, 100151, 2023 | 18 | 2023 |
| Evaluating crowdsourcing and topic modeling in generating knowledge components from explanations S Moore, HA Nguyen, J Stamper Artificial Intelligence in Education: 21st International Conference, AIED …, 2020 | 18 | 2020 |
| Generative AI for Education (GAIED): Advances, Opportunities, and Challenges P Denny, S Gulwani, NT Heffernan, T Käser, S Moore, AN Rafferty, ... arXiv preprint arXiv:2402.01580, 2024 | 15 | 2024 |
| fAIlureNotes: Supporting Designers in Understanding the Limits of AI Models for Computer Vision Tasks S Moore, QV Liao, H Subramonyam Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems …, 2023 | 15 | 2023 |
| Instrumenting courseware and leveraging data with the Open Learning Initiative (OLI) N Bier, S Moore, M Van Velsen Companion Proceedings 9th International Learning Analytics & Knowledge …, 2019 | 11 | 2019 |
| Decision support for an adversarial game environment using automatic hint generation S Moore, J Stamper Intelligent Tutoring Systems: 15th International Conference, ITS 2019 …, 2019 | 10 | 2019 |
| Towards crowdsourcing the identification of knowledge components S Moore, HA Nguyen, J Stamper Proceedings of the Seventh ACM Conference on Learning@ Scale, 245-248, 2020 | 9 | 2020 |
| Learnersourcing: student-generated content@ scale S Moore, J Stamper, C Brooks, P Denny, H Khosravi Proceedings of the ninth ACM conference on learning@ scale, 259-262, 2022 | 8 | 2022 |
| Leveraging Students to Generate Skill Tags that Inform Learning Analytics S Moore, HA Nguyen, J Stamper Proceedings of the 16th International Conference of the Learning Sciences …, 2022 | 8 | 2022 |
| Exploring teachable humans and teachable agents: Human strategies versus agent policies and the basis of expertise J Stamper, S Moore Artificial Intelligence in Education: 20th International Conference, AIED …, 2019 | 8 | 2019 |
| A human-centered approach to data driven iterative course improvement S Moore, J Stamper, N Bier, MJ Blink Cross Reality and Data Science in Engineering: Proceedings of the 17th …, 2021 | 7 | 2021 |
| Exploring metrics for the analysis of code submissions in an introductory data science course H Nguyen, M Lim, S Moore, E Nyberg, M Sakr, J Stamper LAK21: 11th International Learning Analytics and Knowledge Conference, 632-638, 2021 | 5 | 2021 |
John StamperHuman-Computer Interaction Institute, Carnegie Mellon UniversityVerified email at stamper.org
