Candace Thille

According to our database, Candace Thille authored at least 16 papers between 2014 and 2023.

Collaborative distances:

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

2023

Variational Temporal IRT: Fast, Accurate, and Explainable Inference of Dynamic Learner Proficiency.

Yunsung Kim, Sreechan Sankaranarayanan, Chris Piech, Candace Thille

Proceedings of the 16th International Conference on Educational Data Mining, 2023

2021

A Novel Framework for Discovering Cognitive Models of Learning.

Jinjin Zhao, Candace Thille, Neelesh Gattani, Dawn Zimmaro

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

Data Mining for Discovering Cognitive Models of Learning.

Jinjin Zhao, Candace Thille, Dawn Zimmaro

Proceedings of the ICAAI 2021: The 5th International Conference on Advances in Artificial Intelligence, Virtual Event, United Kingdom, November 20, 2021

2020

Computer-Aided Personalized Education.

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

CoRR, 2020

Introducing Alexa for E-learning.

Jinjin Zhao, Shreyansh P. Bhatt, Candace Thille, Dawn Zimmaro, Neelesh Gattani, Josh Walker

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

Interpretable Personalized Knowledge Tracing and Next Learning Activity Recommendation.

Jinjin Zhao, Shreyansh P. Bhatt, Candace Thille, Dawn Zimmaro, Neelesh Gattani

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

Cold Start Knowledge Tracing with Attentive Neural Turing Machine.

Jinjin Zhao, Shreyansh P. Bhatt, Candace Thille, Neelesh Gattani, Dawn Zimmaro

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

Evaluating Bayesian Knowledge Tracing for Estimating Learner Proficiency and Guiding Learner Behavior.

Shreyansh P. Bhatt, Jinjin Zhao, Candace Thille, Dawn Zimmaro, Neelesh Gattani

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

A Novel Approach for Knowledge State Representation and Prediction.

Shreyansh P. Bhatt, Jinjin Zhao, Candace Thille, Dawn Zimmaro, Neelesh Gattani

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

Reinforcement Learning for the Adaptive Scheduling of Educational Activities.

Jonathan Bassen, Bharathan Balaji, Michael Schaarschmidt, Candace Thille, Jay Painter, Dawn Zimmaro, Alex Games, Ethan Fast, John C. Mitchell

Proceedings of the CHI '20: CHI Conference on Human Factors in Computing Systems, 2020

2019

The heart of educational data infrastructures = Conscious humanity and scientific responsibility, not infinite data and limitless experimentation.

Petr Johanes, Candace Thille

Br. J. Educ. Technol., 2019

2018

Estimating the minimum number of opportunities needed for all students to achieve predicted mastery.

Olle Bälter, Dawn Zimmaro, Candace Thille

Smart Learn. Environ., 2018

Exploring the impact of the default option on student engagement and performance in a statistics MOOC.

Emma Brunskill, Dawn Zimmaro, Candace Thille

Proceedings of the Fifth Annual ACM Conference on Learning at Scale, 2018

OARS: exploring instructor analytics for online learning.

Jonathan Bassen, Iris Howley, Ethan Fast, John C. Mitchell, Candace Thille

Proceedings of the Fifth Annual ACM Conference on Learning at Scale, 2018

2017

Community based educational data repositories and analysis tools.

Ken Koedinger, Ran Liu, John C. Stamper, Candace Thille, Phil Pavlik

Proceedings of the Seventh International Learning Analytics & Knowledge Conference, 2017

2014

MOOCs and Technology to Advance Learning and Learning Research Opening Statement: MOOCs and technology to advance learning and learning research (Ubiquity symposium).

Candace Thille

Ubiquity, 2014