Learning is not a spectator sport: Doing is better than watching for learning from a MOOC KR Koedinger, J Kim, JZ Jia, EA McLaughlin, NL Bier Proceedings of the second (2015) ACM conference on learning@ scale, 111-120, 2015 | 413 | 2015 |
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 | 139 | 2022 |
Is the doer effect a causal relationship? How can we tell and why it's important KR Koedinger, EA McLaughlin, JZ Jia, NL Bier Proceedings of the sixth international conference on learning analytics …, 2016 | 98 | 2016 |
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 | 41 | 2022 |
Machine Beats Experts: Automatic Discovery of Skill Models for Data-Driven Online Course Refinement. N Matsuda, T Furukawa, N Bier, C Faloutsos International Educational Data Mining Society, 2015 | 34 | 2015 |
An approach to knowledge component/skill modeling in online courses N Bier, S Lip, R Strader, C Thille, D Zimmaro Open Learning, 1-14, 2014 | 27* | 2014 |
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 | 17 | 2019 |
An online learning approach to information systems security education N Bier, M Lovett, R Seacord Proceedings of the 15th Colloquium for Information Systems Security …, 2011 | 13 | 2011 |
Open Learning Initiative courses in community colleges: Evidence on use and effectiveness J Kaufman, R Ryan, C Thille, N Bier Mellon University, Pittsburgh, PA. Available online: http://www. hewlett …, 2013 | 12 | 2013 |
Machine-generated questions attract instructors when acquainted with learning objectives M Shimmei, N Bier, N Matsuda International Conference on Artificial Intelligence in Education, 3-15, 2023 | 8 | 2023 |
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 |
Latent skill mining and labeling from courseware content N Matsuda, J Wood, R Shrivastava, M Shimmei, N Bier Journal of educational data mining 14 (2), 2022 | 5 | 2022 |
Who writes tomorrow’s learning activities? Exploring community college student participation in learnersourcing S Moore, HA Nguyen, N Bier, T Domadia, J Stamper Proceedings of the 17th International Conference of the Learning Sciences …, 2023 | 3 | 2023 |
Assessing Educational Quality: Comparative Analysis of Crowdsourced, Expert, and AI-Driven Rubric Applications S Moore, N Bier, J Stamper Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 12 …, 2024 | 2 | 2024 |
OLI Torus: a next-generation, open platform for adaptive courseware development, delivery, and research N Bier, J Stamper, S Moore, D Siegel, A Anbar LAK 2023: 13th International Learning Analytics and Knowledge Conference, 2023 | 2 | 2023 |
Curio: An On-Demand Help-Seeking System on iTextbooks for Accelerating Research on Educational Recommendation Algorithms. YJ Tseng, YH Lin, G Yadav, NL Bier, V Aleven iTextbooks@ AIED, 94-101, 2023 | 1 | 2023 |
Platform-based Adaptive Experimental Research in Education: Lessons Learned from The Digital Learning Challenge I Musabirov, M Reza, H Song, S Moore, P Chen, H Kumar, T Li, J Stamper, ... Proceedings of the 15th International Learning Analytics and Knowledge …, 2025 | | 2025 |
Curio: Enhancing STEM Online Video Learning Experience Through Integrated, Just-in-Time Help-Seeking YJ Tseng, YH Lin, G Yadav, N Bier, V Aleven European Conference on Technology Enhanced Learning, 437-451, 2024 | | 2024 |
User-Centered Design to Democratize Research Experiments on Digital Learning Platforms M An, J Fortunato, I Musabirov, M Reza, N Bier, J Willams, J Stamper PELE, 2024 | | 2024 |
Improving and Expanding Access to Digital Learning through Open Source Adaptive Authoring AD Anbar, JL Swann, S Kirk, D Hunsley, N Bier AGU Fall Meeting Abstracts 2023, ED34A-01, 2023 | | 2023 |