Jack Mostow

Jack Mostow, M. Bernardine Dias, G. Ayorkor Korsah, 2009, 2009 International Conference on Information and Communication Technologies and Development (ICTD).

Lessons from Project LISTEN’s Session Browser

Jack Mostow, Joseph E. Beck, Andrew Cuneo, 2009 .

Does Help Help? Introducing the Bayesian Evaluation and Assessment Methodology

Albert T. Corbett, Jack Mostow, Joseph E. Beck, 2008, Intelligent Tutoring Systems.

A Case Study Empirical Comparison of Three Methods to Evaluate Tutorial Behaviors

Jack Mostow, Joseph E. Beck, Xiaonan Zhang, 2008, Intelligent Tutoring Systems.

How Who Should Practice: Using Learning Decomposition to Evaluate the Efficacy of Different Types of Practice for Different Types of Students

Jack Mostow, Joseph E. Beck, J. Beck, 2008, Intelligent Tutoring Systems.

Analytic Comparison of Three Methods to Evaluate Tutorial Behaviors

Jack Mostow, Xiaonan Zhang, Jack Mostow, 2008, EDM.

Automated Vocabulary Instruction in a Reading Tutor

Jack Mostow, Joseph E. Beck, Cecily Heiner, 2006, Intelligent Tutoring Systems.

A Bayes Net Toolkit for Student Modeling in Intelligent Tutoring Systems

Albert T. Corbett, Jack Mostow, Joseph E. Beck, 2006, Intelligent Tutoring Systems.

Some useful tactics to modify, map and mine data from intelligent tutors

Jack Mostow, Joseph E. Beck, J. Beck, 2006, Natural Language Engineering.

Does Help Help ? A Bayes Net Approach to Modeling Tutor Interventions

Albert T. Corbett, K. Chang, J. Beck, 2006 .

When do Students Interrupt Help? Effects of Time, Help Type, and Individual Differences

Jack Mostow, Joseph E. Beck, Cecily Heiner, 2005, AIED.

An Educational Data Mining Tool to Browse Tutor-Student Interactions : Time Will Tell !

J. Beck, Jack Mostow, E. Gouvêa, 2005 .

Automatically Assessing Oral Reading Fluency in a Computer Tutor that Listens

Jack Mostow, Joseph E. Beck, Peng Jia, 2004 .

Improving the Help Selection Policy in a Reading Tutor that Listens

Jack Mostow, Joseph E. Beck, Cecily Heiner, 2004 .

Lessons on Using ITS Data to Answer Educational Research Questions

Jack Mostow, Joseph E. Beck, Cecily Heiner, 2004 .

Training a confidence measure for a reading tutor that listens

Satanjeev Banerjee, Jack Mostow, Joseph E. Beck, 2003, INTERSPEECH.

Predicting Student Help-Request Behavior in an Intelligent Tutor for Reading

Jack Mostow, Joseph E. Beck, Peng Jia, 2003, User Modeling.

Can Automated Emotional Scaffolding Affect Student Persistence? A Baseline Experiment

Jack Mostow, Joseph E. Beck, J. Beck, 2003 .

Viewing and analyzing multimodal human-computer tutorial dialogue: a database approach

Jack Mostow, Joseph E. Beck, Andrew Cuneo, 2002, Proceedings. Fourth IEEE International Conference on Multimodal Interfaces.

Experimentally augmenting an intelligent tutoring system with human-supplied capabilities: adding human-provided emotional scaffolding to an automated reading tutor that listens

Jack Mostow, Gregory Aist, Rosalind W. Picard, 2002, Proceedings. Fourth IEEE International Conference on Multimodal Interfaces.

Predicting oral reading miscues

Jack Mostow, Joseph E. Beck, Shaojun Wang, 2002, INTERSPEECH.

A La Recherche du Temps Perdu, or As Time Goes By: Where Does the Time Go in a Reading Tutor That Listens?

Jack Mostow, Joseph E. Beck, Gregory Aist, 2002, Intelligent Tutoring Systems.

Automated Comprehension Assessment in a Reading Tutor

Jack Mostow, Andrew Cuneo, Jack Mostow, 2002 .

A hands-on demonstration of Project LISTEN’s Reading Tutor and its embedded experiments

Jack Mostow, Greg Aist, Juliet Bey, 2001 .

Pause the Video: Quick But Quantitative Expert Evaluation of Tutorial Choices in a Reading Tutor that Listens

Jack Mostow, Brian Tobin, Cathy Huang, 2001 .

Mining a Database of Reading Mistakes: For What Should an Automated Reading Tutor Listen?

Laura A. Dabbish, Jack Mostow, James Fogarty, 2001 .

A Decision-Theoretic Architecture for Selecting Tutorial Discourse Actions

Kurt VanLehn, Jack Mostow, R. Charles Murray, 2001 .

Using Automated Within-Subject Invisible Experiments to Test the Effectiveness of Automated Vocabulary Assistance

Jack Mostow, Greg Aist, Jack Mostow, 2001 .

Early Prediction of Children's Disengagement in a Tablet Tutor Using Visual Features

Jack Mostow, Mansi Agarwal, Bikram Boote, 2021, AIED.

Adaptive Search by Explanation-Based Learning of Heuristic Censors

Jack Mostow, Neeraj Bhatnagar, Jack Mostow, 1990, AAAI.

Discovering Admissible Search Heuristics by Abstracting and Optimizing

Jack Mostow, Armand Prieditis, Jack Mostow, 1989, ML.

EEG Helps Knowledge Tracing !

Yanbo Xu, Jack Mostow, Kai-min Chang, 2014 .

Toward Exploiting EEG Input in a Reading Tutor

Jack Mostow, Kai-min Chang, Jessica Nelson, 2011, Int. J. Artif. Intell. Educ..

A Tale of Two Tasks: Detecting Children's Off-Task Speech in a Reading Tutor

Jack Mostow, Wei Chen, Jack Mostow, 2011, INTERSPEECH.

Demonstration of a reading coach that listens

Jack Mostow, Alexander G. Hauptmann, Steven F. Roth, 1995, UIST '95.

On-line learning from search failures

Jack Mostow, Neeraj Bhatnagar, Jack Mostow, 2005, Machine Learning.

On-Line Learning from Search Failures

Jack Mostow, Neeraj Bhatnagar, Jack Mostow, 1994, Machine Learning.

lanat ion- ased Learning of ic Censors

Jack Mostow, Neeraj Bhatnagar, Jack Mostow, 1990 .

An Object-Oriented Representation for Search algorithms

Jack Mostow, Jack Mostow, 1989, ML.

Inferring Selectional Preferences from Part-Of-Speech N-grams

Jack Mostow, Hyeju Jang, Jack Mostow, 2012, EACL.

Automated reuse of design plans

Jack Mostow, Mike Barley, Timothy Weinrich, 1989, Artif. Intell. Eng..

Obstetrician Attitudes, Experience, and Knowledge of Planned Home Birth: An Exploratory Study.

Jack Mostow, J. Janata, M. Greenfield, 2016, Birth.

A Problem-Solver for Making Advice Operational

Jack Mostow, Jack Mostow, 1983, AAAI.

Toward Learning at Scale in Developing Countries: Lessons from the Global Learning XPRIZE Field Study

Sheba P. Naderzad, Jack Mostow, Mononito Goswami, 2020, L@S.

What and When do Students Learn? Fully Data-Driven Joint Estimation of Cognitive and Student Models

Jack Mostow, José P. González-Brenes, Jack Mostow, 2013, EDM.

Direct Transfer of Learned Information Among Neural Networks

Jack Mostow, L. Pratt, C. Kamm, 1991, AAAI.

Semi-Supervised Learning to Perceive Children's Affective States in a Tablet Tutor

Jack Mostow, Mansi Agarwal, Jack Mostow, 2020, AAAI.

Relating Children's Automatically Detected Facial Expressions to Their Behavior in RoboTutor

Jack Mostow, Mayank Saxena, Rohith Krishnan Pillai, 2018, AAAI.

Application of a transformational software development methodology to VLSI design

Jack Mostow, Bob Balzer, Jack Mostow, 1984, J. Syst. Softw..

Dynamic Cognitive Tracing: Towards Unified Discovery of Student and Cognitive Models

Jack Mostow, José P. González-Brenes, Jack Mostow, 2012, EDM.

Why and How Our Automated Reading Tutor Listens

Jack Mostow, Jack Mostow, 2012 .

Operationalizing Heuristics: Some AI Methods for Assisting AI Programming

Jack Mostow, Frederick Hayes-Roth, F. Hayes-Roth, 1979, IJCAI.

Towards automated development of specialized algorithms for design synthesis: Knowledge compilation as an approach to computer-aided design

Jack Mostow, Jack Mostow, 1990 .

MACHINE LEARNING An Artificial Intelligence Approach

John R. Anderson, Ryszard S. Michalski, P. Utgoff, 2009 .

Toward Better Models of the Design Process

Jack Mostow, Jack Mostow, 1985, AI Mag..

What's Most Broken? A Tool to Assist Data-Driven Iterative Improvement of an Intelligent Tutoring System

Jack Mostow, Mononito Goswami, Shiven Mian, 2019, AAAI.

Evaluating the effect of predicting oral reading miscues

Satanjeev Banerjee, Jack Mostow, Joseph E. Beck, 2003, INTERSPEECH.

A Prototype Reading Coach that Listens

Jack Mostow, Alexander G. Hauptmann, Steven F. Roth, 1994, AAAI.

Is ASR accurate enough for automated reading tutors, and how can we tell?

Jack Mostow, Jack Mostow, 2006, INTERSPEECH.

Which System Differences Matter? Using L1/L2 Regularization to Compare Dialogue Systems

Jack Mostow, José P. González-Brenes, Jack Mostow, 2011, SIGDIAL Conference.