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ORCIDRan Liu 0008
Person information
- affiliation: Carnegie Mellon University, Human-Computer Interaction Institute, Pittsburgh, PA, USA
Other persons with the same name
- Ran Liu — disambiguation page
- Ran Liu 0001 — Fudan University, State Key Laboratory of ASIC and System, Department of Microelectronics, Shanghai, China
- Ran Liu 0002 — Beijing Normal University, State Key Laboratoy of Remote Sensing Science, China
- Ran Liu 0003 — Fudan University, Software School, Shanghai, China (and 1 more)
- Ran Liu 0004 — Huazhong University of Science & Technology
- Ran Liu 0005
![[0000-0002-7922-8969]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-7922-8969")
— Shanghai Jiao Tong University, Department of Industrial Engineering and Logistics Management, China (and 2 more) - Ran Liu 0006 — Chongqing University, College of Computer Science, China
- Ran Liu 0007 — Singapore University of Technology and Design, MIT International Design Center, Singapore (and 1 more)
- Ran Liu 0009 — Sun Yat-Sen University, Guangdong Provincial Key Laboratory of Urbanization and Geo-simulation, Guangzhou, China
- Ran Liu 0010 — Northeastern University, Department of Electrical and Computer Engineering, Boston, MA, USA
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Journal Articles
- 2019
[j4]Carolyn P. Rosé, Elizabeth A. McLaughlin, Ran Liu, Kenneth R. Koedinger:
Explanatory learner models: Why machine learning (alone) is not the answer. Br. J. Educ. Technol. 50(6): 2943-2958 (2019)- [j3]Ran Liu, John C. Stamper, Jodi L. Davenport, Scott A. Crossley, Danielle S. McNamara, Kalonji Nzinga, Bruce Sherin:
Learning linkages: Integrating data streams of multiple modalities and timescales. J. Comput. Assist. Learn. 35(1): 99-109 (2019) - 2018
- [j2]Ran Liu, John C. Stamper, Jodi L. Davenport:
A Novel Method for the In-Depth Multimodal Analysis of Student Learning Trajectories in Intelligent Tutoring Systems. J. Learn. Anal. 5(1) (2018) - 2011
- [j1]Ran Liu, Lori L. Holt:
Neural Changes Associated with Nonspeech Auditory Category Learning Parallel Those of Speech Category Acquisition. J. Cogn. Neurosci. 23(3): 683-698 (2011)
Conference and Workshop Papers
- 2018
- [c14]Yunan Wu, Lori L. Holt, Ran Liu, Sung-joo Lim:
Behavioral and electrophysiological evidence of incidental learning, generalization and retention of speech categories from continuous speech. CogSci 2018 - 2017
- [c13]Ran Liu, Kenneth R. Koedinger:
Closing the loop: Automated data-driven cognitive model discoveries lead to improved instruction and learning. EDM 2017 - [c12]Ran Liu, Kenneth R. Koedinger:
Towards reliable and valid measurement of individualized student parameters. EDM 2017 - [c11]Ran Liu, Kenneth R. Koedinger, John C. Stamper, Philip I. Pavlik Jr.:
Sharing and Reusing Data and Analytic Methods with LearnSphere. EDM 2017 - [c10]Ran Liu, John C. Stamper:
Multimodal Data Collection and Analysis of Collaborative Learning through an Intelligent Tutoring System. MMLA-CrossLAK@LAK 2017: 47-52 - [c9]Scott A. Crossley, Ran Liu, Danielle S. McNamara:
Predicting math performance using natural language processing tools. LAK 2017: 339-347 - [c8]Ken Koedinger, Ran Liu, John C. Stamper, Candace Thille, Phil Pavlik:
Community based educational data repositories and analysis tools. LAK 2017: 524-525 - 2016
- [c7]Rony Patel, Ran Liu, Kenneth R. Koedinger:
When to Block versus Interleave Practice? Evidence Against Teaching Fraction Addition before Fraction Multiplication. CogSci 2016 - [c6]Ran Liu, Jodi L. Davenport, John C. Stamper:
Beyond Log Files: Using Multi-Modal Data Streams Towards Data-Driven KC Model Improvement. EDM 2016: 436-441 - [c5]Ran Liu, Rony Patel, Kenneth R. Koedinger:
Modeling common misconceptions in learning process data. LAK 2016: 369-377 - 2015
- [c4]Christopher J. MacLellan, Ran Liu, Kenneth R. Koedinger:
Accounting for Slipping and Other False Negatives in Logistic Models of Student Learning. EDM 2015: 53-60 - [c3]Ran Liu, Kenneth R. Koedinger:
Variations in Learning Rate: Student Clustering Based on Systematic Residual Error Patterns Across Practice Opportunities. EDM 2015: 420-423 - 2014
- [c2]Ran Liu, Elizabeth A. McLaughlin, Kenneth R. Koedinger:
Interpreting model discovery and testing generalization to a new dataset. EDM 2014: 107-113 - 2013
- [c1]Garrett Kimball, Rodrigo Cano, Jingyi Feng, Lei Feng, Erica Hampson, Evan Li, Michael G. Christel, Lori L. Holt, Sung-joo Lim, Ran Liu, Matthew Lehet:
Supporting research into sound and speech learning through a configurable computer game. IGIC 2013: 110-113
Coauthor Index
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