Ran Liu

Orcid: 0000-0002-2832-5216

Affiliations:
  • Carnegie Mellon University, Human-Computer Interaction Institute, Pittsburgh, PA, USA


According to our database1, Ran Liu authored at least 18 papers between 2011 and 2019.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2019
Learning linkages: Integrating data streams of multiple modalities and timescales.
J. Comput. Assist. Learn., 2019

Explanatory learner models: Why machine learning (alone) is not the answer.
Br. J. Educ. Technol., 2019

2018
A Novel Method for the In-Depth Multimodal Analysis of Student Learning Trajectories in Intelligent Tutoring Systems.
J. Learn. Anal., April, 2018

Behavioral and electrophysiological evidence of incidental learning, generalization and retention of speech categories from continuous speech.
Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

2017
Multimodal Data Collection and Analysis of Collaborative Learning through an Intelligent Tutoring System.
Proceedings of the Joint Proceedings of the Sixth Multimodal Learning Analytics (MMLA) Workshop and the Second Cross-LAK Workshop co-located with 7th International Learning Analytics and Knowledge Conference (LAK 2017), 2017

Community based educational data repositories and analysis tools.
Proceedings of the Seventh International Learning Analytics & Knowledge Conference, 2017

Predicting math performance using natural language processing tools.
Proceedings of the Seventh International Learning Analytics & Knowledge Conference, 2017

Sharing and Reusing Data and Analytic Methods with LearnSphere.
Proceedings of the 10th International Conference on Educational Data Mining, 2017

Towards reliable and valid measurement of individualized student parameters.
Proceedings of the 10th International Conference on Educational Data Mining, 2017

Closing the loop: Automated data-driven cognitive model discoveries lead to improved instruction and learning.
Proceedings of the 10th International Conference on Educational Data Mining, 2017

2016
Modeling common misconceptions in learning process data.
Proceedings of the Sixth International Conference on Learning Analytics & Knowledge, 2016

Beyond Log Files: Using Multi-Modal Data Streams Towards Data-Driven KC Model Improvement.
Proceedings of the 9th International Conference on Educational Data Mining, 2016

When to Block versus Interleave Practice? Evidence Against Teaching Fraction Addition before Fraction Multiplication.
Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

2015
Accounting for Slipping and Other False Negatives in Logistic Models of Student Learning.
Proceedings of the 8th International Conference on Educational Data Mining, 2015

Variations in Learning Rate: Student Clustering Based on Systematic Residual Error Patterns Across Practice Opportunities.
Proceedings of the 8th International Conference on Educational Data Mining, 2015

2014
Interpreting model discovery and testing generalization to a new dataset.
Proceedings of the 7th International Conference on Educational Data Mining, 2014

2013
Supporting research into sound and speech learning through a configurable computer game.
Proceedings of the 2013 IEEE International Games Innovation Conference, 2013

2011
Neural Changes Associated with Nonspeech Auditory Category Learning Parallel Those of Speech Category Acquisition.
J. Cogn. Neurosci., 2011


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