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Candace Thille
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2020 – today
- 2024
- [c13]Anna Carolina Muller Queiroz, Jeremy N. Bailenson, Kristen Pilner Blair, Daniel L. Schwartz, Candace Thille, Anthony David Wagner:
Extended Realities and the Future of Knowledge Work: Opportunities and Challenges. VR Workshops 2024: 662-666 - 2023
- [c12]Yunsung Kim, Sreechan Sankaranarayanan, Chris Piech, Candace Thille:
Variational Temporal IRT: Fast, Accurate, and Explainable Inference of Dynamic Learner Proficiency. EDM 2023 - [i2]Yunsung Kim, Sreechan Sankaranarayanan, Chris Piech, Candace Thille:
Variational Temporal IRT: Fast, Accurate, and Explainable Inference of Dynamic Learner Proficiency. CoRR abs/2311.08594 (2023) - 2021
- [c11]Jinjin Zhao, Candace Thille, Dawn Zimmaro:
Data Mining for Discovering Cognitive Models of Learning. ICAAI 2021: 130-139 - [c10]Jinjin Zhao, Candace Thille, Neelesh Gattani, Dawn Zimmaro:
A Novel Framework for Discovering Cognitive Models of Learning. L@S 2021: 271-274 - 2020
- [c9]Jonathan Bassen, Bharathan Balaji, Michael Schaarschmidt, Candace Thille, Jay Painter, Dawn Zimmaro, Alex Games, Ethan Fast, John C. Mitchell
:
Reinforcement Learning for the Adaptive Scheduling of Educational Activities. CHI 2020: 1-12 - [c8]Jinjin Zhao, Shreyansh P. Bhatt, Candace Thille, Dawn Zimmaro, Neelesh Gattani:
Interpretable Personalized Knowledge Tracing and Next Learning Activity Recommendation. L@S 2020: 325-328 - [c7]Jinjin Zhao, Shreyansh P. Bhatt, Candace Thille, Neelesh Gattani, Dawn Zimmaro:
Cold Start Knowledge Tracing with Attentive Neural Turing Machine. L@S 2020: 333-336 - [c6]Shreyansh P. Bhatt, Jinjin Zhao, Candace Thille, Dawn Zimmaro, Neelesh Gattani:
A Novel Approach for Knowledge State Representation and Prediction. L@S 2020: 353-356 - [c5]Shreyansh P. Bhatt, Jinjin Zhao, Candace Thille, Dawn Zimmaro, Neelesh Gattani:
Evaluating Bayesian Knowledge Tracing for Estimating Learner Proficiency and Guiding Learner Behavior. L@S 2020: 357-360 - [c4]Jinjin Zhao, Shreyansh P. Bhatt, Candace Thille, Dawn Zimmaro, Neelesh Gattani, Josh Walker:
Introducing Alexa for E-learning. L@S 2020: 427-428 - [i1]Rajeev Alur, Richard G. Baraniuk, Rastislav Bodík, Ann W. Drobnis
, Sumit Gulwani, Bjoern Hartmann, Yasmin B. Kafai, Jeff Karpicke, Ran Libeskind-Hadas, Debra J. Richardson, Armando Solar-Lezama, Candace Thille, Moshe Y. Vardi:
Computer-Aided Personalized Education. CoRR abs/2007.03704 (2020)
2010 – 2019
- 2019
- [j3]Petr Johanes, Candace Thille:
The heart of educational data infrastructures = Conscious humanity and scientific responsibility, not infinite data and limitless experimentation. Br. J. Educ. Technol. 50(6): 2959-2973 (2019) - 2018
- [j2]Olle Bälter
, Dawn Zimmaro, Candace Thille:
Estimating the minimum number of opportunities needed for all students to achieve predicted mastery. Smart Learn. Environ. 5(1): 15 (2018) - [c3]Emma Brunskill, Dawn Zimmaro, Candace Thille:
Exploring the impact of the default option on student engagement and performance in a statistics MOOC. L@S 2018: 34:1-34:4 - [c2]Jonathan Bassen, Iris Howley, Ethan Fast, John C. Mitchell, Candace Thille:
OARS: exploring instructor analytics for online learning. L@S 2018: 55:1-55:10 - 2017
- [c1]Ken Koedinger, Ran Liu, John C. Stamper
, Candace Thille, Phil Pavlik:
Community based educational data repositories and analysis tools. LAK 2017: 524-525 - [e1]Claudia Urrea, Justin Reich, Candace Thille:
Proceedings of the Fourth ACM Conference on Learning @ Scale, L@S 2017, Cambridge, MA, USA, April 20-21, 2017. ACM 2017, ISBN 978-1-4503-4450-0 [contents] - 2014
- [j1]Candace Thille:
MOOCs and Technology to Advance Learning and Learning Research Opening Statement: MOOCs and technology to advance learning and learning research (Ubiquity symposium). Ubiquity 2014(April): 1:1-1:7 (2014)
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