| 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 | 136 | 2019 |
| Tuned with a tune: Talker normalization via general auditory processes EJC Laing, R Liu, AJ Lotto, LL Holt Frontiers in psychology 3, 203, 2012 | 75 | 2012 |
| Dimension-based statistical learning of vowels. R Liu, LL Holt Journal of Experimental Psychology: Human Perception and Performance 41 (6 …, 2015 | 70 | 2015 |
| 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 | 56 | 2017 |
| 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 | 50 | 2011 |
| Is statistical learning constrained by lower level perceptual organization? LL Emberson, R Liu, JD Zevin Cognition 128 (1), 82-102, 2013 | 46 | 2013 |
| Predicting math performance using natural language processing tools S Crossley, R Liu, D McNamara Proceedings of the Seventh International Learning Analytics & Knowledge …, 2017 | 38 | 2017 |
| When to Block versus Interleave Practice? Evidence Against Teaching Fraction Addition before Fraction Multiplication. R Patel, R Liu, KR Koedinger CogSci, 2016 | 34 | 2016 |
| 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 | 32 | 2014 |
| Modeling common misconceptions in learning process data R Liu, R Patel, KR Koedinger Proceedings of the Sixth International Conference on Learning Analytics …, 2016 | 30 | 2016 |
| 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 | 29 | 2017 |
| 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 | 28 | 2019 |
| 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 | 22 | 2015 |
| Towards Reliable and Valid Measurement of Individualized Student Parameters. R Liu, KRK Koedinger International Educational Data Mining Society, 2017 | 21 | 2017 |
| 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 | 17 | 2015 |
| 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 | 13 | 2016 |
| 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 | 11 | 2009 |
| 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 | 4 | 2009 |
Ken KoedingerHCII, Carnegie Mellon UniversityVerified email at cmu.edu
