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Ran Liu
Ran Liu
Amira Learning
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Title
Cited by
Cited by
Year
Explanatory learner models: Why machine learning (alone) is not the answer
CP Rosé, EA McLaughlin, R Liu, KR Koedinger
British Journal of Educational Technology 50 (6), 2943-2958, 2019
872019
Tuned with a tune: Talker normalization via general auditory processes
EJC Laing, R Liu, AJ Lotto, LL Holt
Frontiers in psychology 3, 203, 2012
702012
Dimension-based statistical learning of vowels.
R Liu, LL Holt
Journal of Experimental Psychology: Human Perception and Performance 41 (6 …, 2015
612015
Neural changes associated with nonspeech auditory category learning parallel those of speech category acquisition
R Liu, LL Holt
Journal of cognitive neuroscience 23 (3), 683-698, 2011
472011
Closing the Loop: Automated Data-Driven Cognitive Model Discoveries Lead to Improved Instruction and Learning Gains.
R Liu, KR Koedinger
Journal of Educational Data Mining 9 (1), 25-41, 2017
442017
Is statistical learning constrained by lower level perceptual organization?
LL Emberson, R Liu, JD Zevin
Cognition 128 (1), 82-102, 2013
432013
Predicting math performance using natural language processing tools
S Crossley, R Liu, D McNamara
Proceedings of the Seventh International Learning Analytics & Knowledge …, 2017
312017
When to Block versus Interleave Practice? Evidence Against Teaching Fraction Addition before Fraction Multiplication.
R Patel, R Liu, KR Koedinger
CogSci, 2016
292016
Interpreting Model Discovery and Testing Generalization to a New Dataset
R Liu, KR Koedinger, EA McLaughlin
Proceedings of the Seventh International Conference on Educational Data Mining, 2014
292014
Modeling common misconceptions in learning process data
R Liu, R Patel, KR Koedinger
Proceedings of the Sixth International Conference on Learning Analytics …, 2016
272016
Learning linkages: Integrating data streams of multiple modalities and timescales
R Liu, J Stamper, J Davenport, S Crossley, D McNamara, K Nzinga, ...
Journal of Computer Assisted Learning 35 (1), 99-109, 2019
212019
Variations in Learning Rate: Student Classification Based on Systematic Residual Error Patterns across Practice Opportunities.
R Liu, KR Koedinger
International educational data mining society, 2015
212015
Going beyond better data prediction to create explanatory models of educational data
R Liu, KR Koedinger
The Handbook of learning analytics 1, 69-76, 2017
202017
Towards Reliable and Valid Measurement of Individualized Student Parameters.
R Liu, KRK Koedinger
International Educational Data Mining Society, 2017
192017
Accounting for Slipping and Other False Negatives in Logistic Models of Student Learning.
CJ MacLellan, R Liu, KR Koedinger
International Educational Data Mining Society, 2015
142015
Beyond Log Files: Using Multi-Modal Data Streams towards Data-Driven KC Model Improvement.
R Liu, J Davenport, J Stamper
International Educational Data Mining Society, 2016
112016
Native language experience influences the perceived similarity of second language vowel categories
T Farmer, R Liu, N Metha, J Zevin
Proceedings of the Annual Meeting of the Cognitive Science Society 31 (31), 2009
112009
Statistics All the Way Down: How is Statistical Learning Accomplished Using Varying Productions of Novel, Complex Sound Categories?
L Emberson, R Liu, J Zevin
Proceedings of the Annual Meeting of the Cognitive Science Society 31 (31), 2009
42009
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Articles 1–18