Elizabeth A. McLaughlin
According to our database1, Elizabeth A. McLaughlin authored at least 12 papers between 2012 and 2019.
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Explanatory learner models: Why machine learning (alone) is not the answer.
Is there an explicit learning bias? Students beliefs, behaviors and learning outcomes.
Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017
Is the doer effect a causal relationship?: how can we tell and why it's important.
Proceedings of the Sixth International Conference on Learning Analytics & Knowledge, 2016
Closing the Loop with Quantitative Cognitive Task Analysis.
Proceedings of the 9th International Conference on Educational Data Mining, 2016
Learning is Not a Spectator Sport: Doing is Better than Watching for Learning from a MOOC.
Proceedings of the Second ACM Conference on Learning @ Scale, 2015
Methods for Evaluating Simulated Learners: Examples from SimStudent.
Proceedings of the Workshops at the 17th International Conference on Artificial Intelligence in Education, 2015
Data-driven Learner Modeling to Understand and Improve Online Learning: MOOCs and technology to advance learning and learning research (Ubiquity symposium).
Interpreting model discovery and testing generalization to a new dataset.
Proceedings of the 7th International Conference on Educational Data Mining, 2014
New Potentials for Data-Driven Intelligent Tutoring System Development and Optimization.
AI Magazine, 2013
A Comparison of Model Selection Metrics in DataShop.
Proceedings of the 6th International Conference on Educational Data Mining, 2013
Using Data-Driven Discovery of Better Student Models to Improve Student Learning.
Proceedings of the Artificial Intelligence in Education - 16th International Conference, 2013
Automated Student Model Improvement.
Proceedings of the 5th International Conference on Educational Data Mining, 2012