- What's in a Word? Extending Learning Factors Analysis to
- Adding Human-Provided Emotional Scaffolding to an Automated Reading Tutor that Listens
- Lessons on Using ITS Data to Answer Educational Research Cecily Heiner, Joseph Beck, Jack Mostow
- Pause the Video: Quick But Quantitative Expert Evaluation of
- Does help help? Introducing the Bayesian Evaluation and Assessment methodology
- A hands-on demonstration of Project LISTEN's Reading Tutor and its embedded experiments
- When do Students Interrupt Help? Effects of Individual Differences
- Using response times to model student disengagement Joseph E. Beck
- Derivational morphology affects children's word reading in English earlier than previously thought Conventional wisdom suggests delaying instruction on derivational morphology of printed English words until perhaps grade
- Computer-assisted oral reading helps third graders learn vocabulary better than a
- When do Students Interrupt Help? Effects of Time, Help Type, and
- Towards automatic glossarization: automatically constructing and administering
- Difficulties in inferring student knowledge from observations (and why you should care)
- Can automated questioning help children's reading comprehension?
- IMPROVING PRONUNCIATION INFERENCE USING N-BEST LIST, ACOUSTICS AND ORTHOGRAPHY
- Eindhoven, The Netherlands, 1999. MEASURING THE EFFECTS OF BACKCHANNELING
- M. Ikeda, K. Ashley, and T.-W. Chan (Eds.): ITS 2006, LNCS 4053, pp. 741 743, 2006. Springer-Verlag Berlin Heidelberg 2006
- Can Automated Emotional Scaffolding Affect Student Persistence? A Baseline Experiment
- PREDICTING ORAL READING MISCUES Jack Mostow, Joseph Beck, S. Vanessa Winter, Shaojun Wang, and Brian Tobin
- How who should practice: Using learning decomposition to evaluate the efficacy of different types of practice for
- Viewing and Analyzing Multimodal Human-computer Tutorial Dialogue: A Database Approach
- Predicting student help-request behavior in an intelligent tutor for reading
- Authoring New Material in a Reading Tutor that Listens Jack Mostow and Gregory Aist
- Why, What, and How to Log? Lessons from LISTEN Jack Mostow1
- Factoids: Automatically constructing and administering vocabulary assistance and
- Assessing Student Proficiency in a Reading Tutor that Listens
- An Educational Data Mining Tool to Browse Tutor-Student Interactions: Time Will Tell!
- Lecture Notes in Computer Science 1 Human Tutor and Computer Tutor Story Choice in
- Using Automated Questions to Assess Reading Comprehension, Vocabulary, and
- Looking Ahead to Select Tutorial Actions: A Decision-Theoretic Approach
- Viewing and Analyzing Multimodal Humancomputer Tutorial Dialogue: ADatabase Approach
- Demonstration of a Reading Coach that Listens Jack Mostow, Alexander G. Hauptmann, and Steven F. Roth
- A Bayes Net Toolkit for Student Modeling in Intelligent Tutoring Systems
- A Generic Tool to Browse Tutor-Student Interactions: Time Will Tell!
- Training a Confidence Measure for a Reading Tutor that Listens YikCheung Tam, Jack Mostow, Joseph Beck, and Satanjeev Banerjee
- When Listening Is Not Enough: Potential Uses of Vision for a Reading Tutor that Listens
- Towards Worldwide Literacy: Technological Affordances, Economic Challenges, Affordable Technology
- DeSIGN: An Intelligent Tutor to Teach American Sign Language Ling Xu*, Vinithra Varadharajan*, Joyce Maravich, Rahul Tongia*, Jack Mostow*
- HOW EFFECTIVE IS UNSUPERVISED DATA COLLECTION FOR CHILDREN'S SPEECH RECOGNITION?
- G. Ayorkor Korsah ayorkor@alumni.cmu.edu
- Extracting Glosses to Disambiguate Word Senses Carnegie Mellon University
- Predictable and Educational Spoken Dialogues: Pilot Results Gregory Aist1
- Does learner control affect learning? Joseph E. BECK
- All in the (word) family: Using learning decomposition to estimate transfer
- Does Help Help? A Bayes Net Approach to Modeling Tutor Interventions
- Using learning decomposition to analyze student fluency development
- Tutoring Bilingual Students With an Automated Reading Tutor That Listens
- Automatically Assessing Oral Reading Fluency in a Computer Tutor that Listens
- Using knowledge tracing to measure student reading proficiencies
- Can automated questions scaffold children's reading comprehension?
- Project LISTEN's Reading Tutor: Interactive Event Description
- Experimentally Augmenting an Intelligent Tutoring System with Human-Supplied Capabilities
- Directing Development Effort with Simulated Students Joseph E. Beck
- Viewing and Analyzing Multimodal Human-computer Tutorial Dialogue: A Database Approach
- Sydney, Australia, Nov. 30 Dec. 4, 1998. EXPANDING A TIME-SENSITIVE CONVERSATIONAL ARCHITECTURE
- A Prototype Reading Coach that Listens: Summary of Project LISTEN
- Predicting Task Completion from Rich but Scarce Data Jos P. Gonzlez-Brenes and Jack Mostow
- AutoJoin: Generalizing an Example into an EDM query Jack Mostow and Bao Hong (Lucas) Tan
- Understanding Mental States in Natural Language Language Technologies Institute, Carnegie Mellon University
- Identifiability: A Fundamental Problem of Student Joseph E. Beck and Kai-min Chang
- Is ASR accurate enough for automated reading tutors, and how can we tell? Jack Mostow
- Better student assessing by finding difficulty factors in a fully automated comprehension measure
- Natural Language Engineering 12 (2): 195208. c 2006 Cambridge University Press doi:10.1017/S1351324906004153 Printed in the United Kingdom
- Using Knowledge Tracing in a Noisy Environment to Measure Student Reading Proficiencies
- Using Speech Recognition to Evaluate Two Student Models for a Reading Tutor
- Independent versus Computer-Assisted Reading: Equal-time Comparison of Sustained Silent Reading to
- In Proceedings of the CALL'97 Conference on Multimedia. Exeter, England, September, 1997. Aist & Mostow, 1997. Adapting Human Tutorial Interventions
- Lecture Notes in Computer Science 1 Using Automated Within-Subject Invisible Experiments to Test the
- Interactive Event: A Better Reading Tutor that Listens Jack Mostow, Greg Aist*
- Skill-Specific Spoken Dialogs in a Reading Tutor that Listens
- Training a Confidence Measure for a Reading Tutor that Listens Yik-Cheung Tam, Jack Mostow, Joseph Beck, and Satanjeev Banerjee
- Taking Turns Talking About Text in a Reading Tutor that Listens
- Exploiting Predictable Response Training to Improve Automatic Recognition of Children's Spoken Responses
- Viewing and Analyzing Multimodal Human-computer Tutorial Dialogue: A Database Approach
- G. Biswas et al. (Eds.): AIED 2011, LNAI 6738, pp. 230237, 2011. Springer-Verlag Berlin Heidelberg 2011
- What visual feedback should a reading tutor give children on their oral reading Sunayana Sitaram, Jack Mostow, Yuanpeng Li, Anders Weinstein, David Yen, Joe Valeri
- Classifying Dialogue in High-Dimensional Space JOSE P. GONZALEZ-BRENES and JACK MOSTOW
- Jos P. Gonzlez-Brenes Language Technologies Institute School of Computer Science
- Lessons from Project LISTEN's Session Jack Mostow, Joseph Beck, Andrew Cuneo, Evandro Gouvea, Cecily Heiner, and Octavio Juarez
- Generating Example Contexts to Illustrate a Target Word Sense Jack Mostow Weisi Duan
- Evaluating Tracking Accuracy of an Automatic Reading Tutor Morten Hjfeldt Rasmussen1
- A Tale of Two Tasks: Detecting Children's Off-Task Speech in a Reading Tutor , Jack Mostow2
- Authors' addresses: J.P. Gonzlez-Brenes, e-mail: joseg@cs.cmu.edu; W. Duan, e-mail: wduan@cs.cmu.edu; J. Mostow, e-mail mostow@cs.cmu.edu. , Project LISTEN, RI-NSH 4103, 5000 Forbes Avenue, Carnegie Mellon
- Which System Differences Matter? Using 1/ 2 Regularization to Compare Dialogue Systems
- How to Generate Cloze Questions from Definitions: a Syntactic Approach
