Dawn Zimmaro

Orcid: 0000-0003-4836-8106

According to our database1, Dawn Zimmaro authored at least 12 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Parametric Constraints for Bayesian Knowledge Tracing from First Principles.
CoRR, 2024

2021
A Novel Framework for Discovering Cognitive Models of Learning.
Proceedings of the L@S'21: Eighth ACM Conference on Learning @ Scale, 2021

Data Mining for Discovering Cognitive Models of Learning.
Proceedings of the ICAAI 2021: The 5th International Conference on Advances in Artificial Intelligence, Virtual Event, United Kingdom, November 20, 2021

2020
Introducing Alexa for E-learning.
Proceedings of the L@S'20: Seventh ACM Conference on Learning @ Scale, 2020

Interpretable Personalized Knowledge Tracing and Next Learning Activity Recommendation.
Proceedings of the L@S'20: Seventh ACM Conference on Learning @ Scale, 2020

Cold Start Knowledge Tracing with Attentive Neural Turing Machine.
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.
Proceedings of the L@S'20: Seventh ACM Conference on Learning @ Scale, 2020

A Novel Approach for Knowledge State Representation and Prediction.
Proceedings of the L@S'20: Seventh ACM Conference on Learning @ Scale, 2020

Reinforcement Learning for the Adaptive Scheduling of Educational Activities.
Proceedings of the CHI '20: CHI Conference on Human Factors in Computing Systems, 2020

2018
Estimating the minimum number of opportunities needed for all students to achieve predicted mastery.
Smart Learn. Environ., 2018

Keystroke-level analysis to estimate time to process pages in online learning environments.
Interact. Learn. Environ., 2018

Exploring the impact of the default option on student engagement and performance in a statistics MOOC.
Proceedings of the Fifth Annual ACM Conference on Learning at Scale, 2018


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