Ran Liu

Publication Activity (10 Years)

Years Active: 2011-2019
Publications (10 Years): 13

Top Topics

Learning Process

Data Collection And Analysis

Top Venues

J. Comput. Assist. Learn.

Publications

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) (2019)
Carolyn Penstein 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) (2019)
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)
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)
Ran Liu, John C. Stamper
Multimodal Data Collection and Analysis of Collaborative Learning through an Intelligent Tutoring System. MMLA-CrossLAK@LAK (2017)
Ran Liu, Kenneth R. Koedinger
Towards reliable and valid measurement of individualized student parameters. EDM (2017)
Ken Koedinger, Ran Liu, John C. Stamper, Candace Thille, Phil Pavlik
Community based educational data repositories and analysis tools. LAK (2017)
Ran Liu, Kenneth R. Koedinger
Closing the loop: Automated data-driven cognitive model discoveries lead to improved instruction and learning. EDM (2017)
Scott A. Crossley, Ran Liu, Danielle S. McNamara
Predicting math performance using natural language processing tools. LAK (2017)
Ran Liu, Kenneth R. Koedinger, John C. Stamper, Philip I. Pavlik Jr.
Sharing and Reusing Data and Analytic Methods with LearnSphere. EDM (2017)
Ran Liu, Jodi L. Davenport, John C. Stamper
Beyond Log Files: Using Multi-Modal Data Streams Towards Data-Driven KC Model Improvement. EDM (2016)
Ran Liu, Rony Patel, Kenneth R. Koedinger
Modeling common misconceptions in learning process data. LAK (2016)
Rony Patel, Ran Liu, Kenneth R. Koedinger
When to Block versus Interleave Practice? Evidence Against Teaching Fraction Addition before Fraction Multiplication. CogSci (2016)
Ran Liu, Kenneth R. Koedinger
Variations in Learning Rate: Student Clustering Based on Systematic Residual Error Patterns Across Practice Opportunities. EDM (2015)
Christopher J. MacLellan, Ran Liu, Kenneth R. Koedinger
Accounting for Slipping and Other False Negatives in Logistic Models of Student Learning. EDM (2015)
Ran Liu, Elizabeth A. McLaughlin, Kenneth R. Koedinger
Interpreting model discovery and testing generalization to a new dataset. EDM (2014)
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)
Ran Liu, Lori L. Holt
Neural Changes Associated with Nonspeech Auditory Category Learning Parallel Those of Speech Category Acquisition. J. Cogn. Neurosci. 23 (3) (2011)