Name
Affiliation
Papers
JACK MOSTOW
CARNEGIE MELLON UNIV,INST ROBOT,PROJECT LISTEN,PITTSBURGH,PA 15213
111
Collaborators
Citations 
PageRank 
138
1133
263.51
Referers 
Referees 
References 
1863
879
723
Search Limit
1001000
Title
Citations
PageRank
Year
Toward Learning at Scale in Developing Countries: Lessons from the Global Learning XPRIZE Field Study00.342020
What's Most Broken? A Tool to Assist Data-Driven Iterative Improvement of an Intelligent Tutoring System00.342019
Relating Children's Automatically Detected Facial Expressions to Their Behavior in RoboTutor.00.342018
Preface to the UMUAI special issue on the impact of learner modeling.10.342017
Evaluating Human And Automated Generation Of Distractors For Diagnostic Multiple-Choice Cloze Questions To Assess Children'S Reading Comprehension20.392015
Automatic Identification of Nutritious Contexts for Learning Vocabulary Words.00.342015
Toward unobtrusive measurement of reading comprehension using low-cost EEG40.432014
Lessons from Project LISTEN: What Have We Learned from a Reading Tutor That Listens?10.382013
Using Item Response Theory to Refine Knowledge Tracing.30.472013
Comparing Student Models in Different Formalisms by Predicting Their Impact on Help Success.40.392013
Recognizing Young Readers' Spoken Questions20.482013
Generating example contexts to help children learn word meaning.00.342013
Artificial Intelligence in Education: 16th International Conference, AIED 2013, Memphis, TN, USA, July 9-13, 2013. Proceedings16520.442013
What and When do Students Learn? Fully Data-Driven Joint Estimation of Cognitive and Student Models.110.772013
Toward Exploiting EEG Input in a Reading Tutor10.432013
Towards using EEG to improve ASR accuracy00.342012
Generating diagnostic multiple choice comprehension cloze questions161.062012
Mining Data from Project LISTEN's Reading Tutor to Analyze Development of Children's Oral Reading Prosody.20.412012
Dynamic Cognitive Tracing: Towards Unified Discovery of Student and Cognitive Models.171.142012
Inferring selectional preferences from part-of-speech N-grams20.362012
Generating Diagnostic Multiple Choice Comprehension Cloze Questions.00.342012
Comparison of methods to trace multiple subskills: Is LR-DBN best?110.662012
Evaluating and Improving Real-Time Tracking of Children's Oral Reading.10.432012
Using Logistic Regression to Trace Multiple Sub-skills in a Dynamic Bayes Net.80.872011
Logistic Regression in a Dynamic Bayes Net Models Multiple Subskills Better!10.442011
Using Automatic Question Generation to Evaluate Questions Generated by Children.10.372011
What visual feedback should a reading tutor give children on their oral reading prosody?20.402011
Desperately Seeking Subscripts: Towards Automated Model Parameterization.10.372011
Evaluating tracking accuracy of an automatic reading tutor.20.412011
Two methods for assessing oral reading prosody80.672011
Classifying dialogue in high-dimensional space30.412011
Generating example contexts to illustrate a target word sense10.352011
Learning Classifiers From a Relational Database of Tutor Logs.20.362011
How to Classify Tutorial Dialogue? Comparing Feature Vectors vs. Sequences.00.342011
Toward exploiting EEG input in a reading tutor131.182011
AutoJoin: Generalizing an Example into an EDM query10.372010
A better reading tutor that listens00.342010
Exploiting predictable response training to improve automatic recognition of children's spoken responses30.452010
Intelligent Tutoring Systems, 10th International Conference, ITS 2010, Pittsburgh, PA, USA, June 14-18, 2010, Proceedings, Part I466.032010
Predicting Task Completion from Rich but Scarce Data30.392010
Why, What, and How to Log? Lessons from LISTEN20.382009
Designing Spoken Tutorial Dialogue With Children To Elicit Predictable But Educationally Valuable Responses40.482009
Predictable and educational spoken dialogues: pilot results.00.342009
Improving child literacy in Africa: experiments with an automated reading tutor172.012009
Generating Instruction Automatically for the Reading Strategy of Self-Questioning211.242009
Automated generation of example contexts for helping children learn vocabulary.20.462009
Automated Assessment of Oral Reading Prosody70.732009
Detecting prosody improvement in oral rereading.20.462009
Analytic Comparison of Three Methods to Evaluate Tutorial Behaviors00.342008
A Case Study Empirical Comparison of Three Methods to Evaluate Tutorial Behaviors30.502008
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