Tristan Nixon

According to our database, Tristan Nixon authored at least 15 papers between 2009 and 2016.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2016

Massively Scalable EDM with Spark.

Tristan Nixon

Proceedings of the 9th International Conference on Educational Data Mining, 2016

2014

Better Data Beats Big Data.

Michael Yudelson, Stephen Fancsali, Steven Ritter, Susan R. Berman, Tristan Nixon, Ambarish Joshi

Proceedings of the 7th International Conference on Educational Data Mining, 2014

Generalizing and Extending a Predictive Model for Standardized Test Scores Based On Cognitive Tutor Interactions.

Ambarish Joshi, Stephen Fancsali, Steven Ritter, Tristan Nixon, Susan R. Berman

Proceedings of the 7th International Conference on Educational Data Mining, 2014

2013

Predicting Standardized Test Scores from Cognitive Tutor Interactions.

Steven Ritter, Ambarish Joshi, Stephen Fancsali, Tristan Nixon

Proceedings of the 6th International Conference on Educational Data Mining, 2013

The Complex Dynamics of Aggregate Learning Curves.

Tristan Nixon, Stephen Fancsali, Steven Ritter

Proceedings of the 6th International Conference on Educational Data Mining, 2013

Optimal and Worst-Case Performance of Mastery Learning Assessment with Bayesian Knowledge Tracing.

Stephen Fancsali, Tristan Nixon, Steven Ritter

Proceedings of the 6th International Conference on Educational Data Mining, 2013

Revealing the Learning in Learning Curves.

R. Charles Murray, Steven Ritter, Tristan Nixon, Ryan Schwiebert, Robert G. M. Hausmann, Brendon Towle, Stephen E. Fancsali, Annalies Vuong

Proceedings of the Artificial Intelligence in Education - 16th International Conference, 2013

Using Data-Driven Discovery of Better Student Models to Improve Student Learning.

Kenneth R. Koedinger, John C. Stamper, Elizabeth A. McLaughlin, Tristan Nixon

Proceedings of the Artificial Intelligence in Education - 16th International Conference, 2013

Toward "Hyper-Personalized" Cognitive Tutors: Non-Cognitive Personalization in the Generalized Intelligent Framework for Tutoring.

Stephen Fancsali, Steven Ritter, John C. Stamper, Tristan Nixon

Proceedings of the Workshops at the 16th International Conference on Artificial Intelligence in Education AIED 2013, 2013

Simulated Students, Mastery Learning, and Improved Learning Curves for Real-World Cognitive Tutors.

Stephen E. Fancsali, Tristan Nixon, Annalies Vuong, Steven Ritter

Proceedings of the Workshops at the 16th International Conference on Artificial Intelligence in Education AIED 2013, 2013

2012

Using Time Pressure to Promote Mathematical Fluency.

Steven Ritter, Tristan Nixon, Derek Lomas, John C. Stamper, Dixie Ching

Proceedings of the Intelligent Tutoring Systems - 11th International Conference, 2012

2011

A Method for Finding Prerequisites Within a Curriculum.

Annalies Vuong, Tristan Nixon, Brendon Towle

Proceedings of the 4th International Conference on Educational Data Mining, 2011

Avoiding Problem Selection Thrashing with Conjunctive Knowledge Tracing.

Kenneth R. Koedinger, Philip I. Pavlik Jr., John C. Stamper, Tristan Nixon, Steven Ritter

Proceedings of the 4th International Conference on Educational Data Mining, 2011

2010

Predicting the Effects of Skill Model Changes on Student Progress.

Daniel Dickison, Steven Ritter, Tristan Nixon, Thomas K. Harris, Brendon Towle, R. Charles Murray, Robert G. M. Hausmann

Proceedings of the Intelligent Tutoring Systems, 10th International Conference, 2010

2009

Reducing the Knowledge Tracing Space.

Steven Ritter, Thomas K. Harris, Tristan Nixon, Daniel Dickison, R. Charles Murray, Brendon Towle

Proceedings of the Educational Data Mining, 2009