Cristina Heffernan
Orcid: 0009-0009-4114-9892
According to our database1,
Cristina Heffernan
authored at least 15 papers
between 2007 and 2023.
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Bibliography
2023
Proceedings of the Tenth ACM Conference on Learning @ Scale, 2023
Implementing and Evaluating ASSISTments Online Math Homework Support At large Scale over Two Years: Findings and Lessons Learned.
Proceedings of the Artificial Intelligence in Education - 24th International Conference, 2023
2017
Proceedings of the Seventh International Learning Analytics & Knowledge Conference, 2017
Proceedings of the 22nd European Conference on Pattern Languages of Programs, 2017
Proceedings of the 10th International Conference on Educational Data Mining, 2017
2015
Towards better affect detectors: effect of missing skills, class features and common wrong answers.
Proceedings of the Fifth International Conference on Learning Analytics And Knowledge, 2015
Blocking Vs. Interleaving: Examining Single-Session Effects Within Middle School Math Homework.
Proceedings of the Artificial Intelligence in Education - 17th International Conference, 2015
2014
Population validity for educational data mining models: A case study in affect detection.
Br. J. Educ. Technol., 2014
The ASSISTments Ecosystem: Building a Platform that Brings Scientists and Teachers Together for Minimally Invasive Research on Human Learning and Teaching.
Int. J. Artif. Intell. Educ., 2014
2013
Proceedings of the Artificial Intelligence in Education - 16th International Conference, 2013
2011
Proceedings of the 4th International Conference on Educational Data Mining, 2011
Proceedings of the Artificial Intelligence in Education - 15th International Conference, 2011
2009
Using Mixed-Effects Modeling to Analyze Different Grain-Sized Skill Models in an Intelligent Tutoring System.
IEEE Trans. Learn. Technol., 2009
2007
The Effect of Model Granularity on Student Performance Prediction Using Bayesian Networks.
Proceedings of the User Modeling 2007, 11th International Conference, 2007
Analyzing Fine-Grained Skill Models Using Bayesian and Mixed Effects Methods.
Proceedings of the Artificial Intelligence in Education, 2007