Filters








4,087 Hits in 3.8 sec

Characterizing the Effectiveness of Tutorial Dialogue with Hidden Markov Models [chapter]

Kristy Elizabeth Boyer, Robert Phillips, Amy Ingram, Eun Young Ha, Michael Wallis, Mladen Vouk, James Lester
2010 Lecture Notes in Computer Science  
This work has direct applications in authoring data-driven tutorial dialogue system behavior and in investigating the effectiveness of human tutoring.  ...  Human-human tutoring offers a valuable model for identifying effective tutorial strategies, but extracting them is a challenge because of the richness of human dialogue.  ...  Any opinions, findings, conclusions, or recommendations expressed in this report are those of the participants, and do not necessarily represent the official views, opinions, or policy of the National  ... 
doi:10.1007/978-3-642-13388-6_10 fatcat:tufweyqtmjaafozmn7iv5ebpgu

A Tutorial Markov Analysis of Effective Human Tutorial Sessions

Nabin Maharjan, Vasile Rus
2018 Proceedings of the 5th Workshop on Natural Language Processing Techniques for Educational Applications  
Towards this end, we characterize and explore human tutors' actions in tutorial dialogue sessions by mapping the tutor-tutee interactions, which are streams of dialogue utterances, into streams of actions  ...  We finally use the results of subsequence analysis method to generate a tutorial Markov process for effective tutorial sessions.  ...  Acknowledgments This work was partially supported by The University of Memphis and a contract from the Advanced Distributed Learning Initiative of the United States Department of Defense.  ... 
doi:10.18653/v1/w18-3704 dblp:conf/acl-tea/MaharjanR18 fatcat:n4hv4zj3wfbjxj7zkjlkja5hia

Learner characteristics and dialogue: recognising effective and student-adaptive tutorial strategies

Christopher M. Mitchell, Eun Young Ha, Kristy Elizabeth Boyer, James C. Lester
2013 International Journal of Learning Technology  
We present results of a study in which task-oriented, textual tutorial dialogue was collected from remote one-on-one human tutoring sessions.  ...  In recent years, there have been significant advances in tutoring systems that engage students in rich natural language dialogue.  ...  Any opinions, findings, conclusions, or recommendations expressed in this report are those of the participants, and do not necessarily represent the official views, opinions, or policy of the National  ... 
doi:10.1504/ijlt.2013.059132 fatcat:jhnw4zswqrhabh7kvrxdtj2qce

A Markov Decision Process Model of Tutorial Intervention in Task-Oriented Dialogue [chapter]

Christopher M. Mitchell, Kristy Elizabeth Boyer, James C. Lester
2013 Lecture Notes in Computer Science  
Designing dialogue systems that engage in rich tutorial dialogue has long been a goal of the intelligent tutoring systems community.  ...  To this end, this paper presents a Markov Decision Process (MDP) framework to learn an intervention policy capturing the most effective tutor turn-taking behaviors in a task-oriented learning environment  ...  Any opinions, findings, conclusions, or recommendations expressed in this report are those of the participants, and do not necessarily represent the official views, opinions, or policy of the National  ... 
doi:10.1007/978-3-642-39112-5_123 fatcat:cmevb3fttbgzhhd4iwghudfjfi

Toward a Machine Learning Framework for Understanding Affective Tutorial Interaction [chapter]

Joseph F. Grafsgaard, Kristy Elizabeth Boyer, James C. Lester
2012 Lecture Notes in Computer Science  
This paper presents a descriptive hidden Markov model built upon facial expression data and tutorial dialogue within a task-oriented human-human tutoring corpus.  ...  The model reveals five frequently occurring patterns of affective tutorial interaction across text-based tutorial dialogue sessions.  ...  Any opinions, findings, conclusions, or recommendations expressed in this report are those of the participants, and do not necessarily represent the official views, opinions, or policy of the National  ... 
doi:10.1007/978-3-642-30950-2_7 fatcat:t7ekyagit5dxxmxaer3zumfehi

Modeling Confusion: Facial Expression, Task, and Discourse in Task-Oriented Tutorial Dialogue [chapter]

Joseph F. Grafsgaard, Kristy Elizabeth Boyer, Robert Phillips, James C. Lester
2011 Lecture Notes in Computer Science  
This paper reports on a study of learner affect through an analysis of facial expression in human task-oriented tutorial dialogue.  ...  It extends prior work through in-depth analyses of a highly informative facial action unit and its interdependencies with dialogue utterances and task structure.  ...  Corpus and Facial Action Analysis A corpus of human-human tutorial dialogue was collected during a tutorial dialogue study.  ... 
doi:10.1007/978-3-642-21869-9_15 fatcat:q4xsj4cthjfxdn2nuknk4mbotq

Identifying Effective Moves in Tutoring: On the Refinement of Dialogue Act Annotation Schemes [chapter]

Alexandria Katarina Vail, Kristy Elizabeth Boyer
2014 Lecture Notes in Computer Science  
These findings can inform the design of future tutorial dialogue systems by suggesting ways in which systems can adapt at a fine-grained level to student actions.  ...  Yet, today's tutorial dialogue systems do not regularly achieve the same level of student learning gain as has been observed with expert human tutors.  ...  Any opinions, findings, conclusions, or recommendations expressed in this report are those of the authors, and do not necessarily represent the official views, opinions, or policy of the National Science  ... 
doi:10.1007/978-3-319-07221-0_24 fatcat:5gcuvanez5aexemtwzacarphie

Page 20 of Computational Linguistics Vol. 32, Issue 4 [page]

2006 Computational Linguistics  
Chapter 9 then applies all that has been described in part 2 of the book in order to walk us through an analysis of a tutoring le.  ...  the educational impact of tutorial actions  ... 

Predicting Learning from Student Affective Response to Tutor Questions [chapter]

Alexandria K. Vail, Joseph F. Grafsgaard, Kristy Elizabeth Boyer, Eric N. Wiebe, James C. Lester
2016 Lecture Notes in Computer Science  
The findings show that for human-human task-oriented tutorial dialogue, facial expression and skin conductance response following tutor inference questions are highly predictive of student learning gains  ...  This paper presents an analysis suggesting that observing students' multimodal behaviors may provide deep insight into student learning at critical moments in a tutorial session.  ...  Any opinions, findings, conclusions, or recommendations expressed in this report are those of the participants, and do not necessarily represent the official views, opinions, or policy of the National  ... 
doi:10.1007/978-3-319-39583-8_15 fatcat:5oyx3oywtvbvlfm6jyqtmnakl4

Predicting Facial Indicators of Confusion with Hidden Markov Models [chapter]

Joseph F. Grafsgaard, Kristy Elizabeth Boyer, James C. Lester
2011 Lecture Notes in Computer Science  
This paper builds on those findings to create a predictive model of learner confusion during task-oriented human-human tutorial dialogue.  ...  Analysis of the model structure also reveals meaningful modes of interaction within the tutoring sessions.  ...  Any opinions, findings, conclusions, or recommendations expressed in this report are those of the participants, and do not necessarily represent the official views, opinions, or policy of the National  ... 
doi:10.1007/978-3-642-24600-5_13 fatcat:gqto6e5zrjc2jnvgaxxlxhbiyy

Intelligent Information Presentation for Tutoring Systems [chapter]

Claus Zinn, Johanna D. Moore, Mark G. Core
2005 Text, Speech and Language Technology  
In this paper we discuss how we have adapted the three-layer architecture developed by researchers in robotics to the management of tutorial dialogue.  ...  Natural language dialogue offers the tutor many ways to lead the student through a line of reasoning, and to indirectly notify the student of an error and use a series of hints and followup questions to  ...  BEETLE then supplies tutorial feedback in English by displaying it in the dialogue window. Fig. 8 depicts an excerpt from a human-human tutorial dialogue, as it occurs in our BEE corpus.  ... 
doi:10.1007/1-4020-3051-7_11 fatcat:yedhocs2t5godb5mfw7llhqx7u

Evaluating the Effectiveness of Tutorial Dialogue Instruction in an Exploratory Learning Context [chapter]

Rohit Kumar, Carolyn Rosé, Vincent Aleven, Ana Iglesias, Allen Robinson
2006 Lecture Notes in Computer Science  
Method The purpose of our study was to test whether we can achieve the same benefit with an implemented tutorial dialogue system as we obtained with the presence of a human tutor in the NPSG condition  ...  Content Development for Tutorial Dialogues Using an exploratory corpus analysis tool called InfoMagnets that was developed in our research group, a thermodynamics domain expert constructed a topic analysis  ... 
doi:10.1007/11774303_66 fatcat:aehneoevp5cl5omk54f6qjapoi

Do Micro-Level Tutorial Decisions Matter: Applying Reinforcement Learning to Induce Pedagogical Tutorial Tactics [chapter]

Min Chi, Kurt VanLehn, Diane Litman
2010 Lecture Notes in Computer Science  
Pedagogical tutorial tactics are policies for a tutor to decide the next action when there are multiple actions available.  ...  In this paper, we applied Reinforcement Learning (RL) to induce two sets of tutorial tactics from pre-existing human interaction data.  ...  One hypothesis as to the effectiveness of human one-onone tutoring comes from the detailed management of "micro-steps" in tutorial dialogue [12, 13] .  ... 
doi:10.1007/978-3-642-13388-6_27 fatcat:q2ixnbetwzavtai33f6y5cp3qu

Mining Collaborative Patterns in Tutorial Dialogues

Sidney D'Mello, Andrew Olney, Natalie Person
2010 Zenodo  
Comparisons of the method to other approaches and applications towards the computational modeling of expert human tutors are discussed.  ...  The method was applied to a large corpus of student-tutor dialogue moves from expert tutoring sessions.  ...  To this extent, they can contribute towards an analysis of tutorial dialogues.  ... 
doi:10.5281/zenodo.3554737 fatcat:qhhupp3bp5fcncabizpl54fmie

A Tutorial Dialogue System for Real-Time Evaluation of Unsupervised Dialogue Act Classifiers: Exploring System Outcomes [chapter]

Aysu Ezen-Can, Kristy Elizabeth Boyer
2015 Lecture Notes in Computer Science  
Dialogue act classification is an important step in understanding students' utterances within tutorial dialogue systems.  ...  This first end-to-end evaluation of an unsupervised dialogue act classifier within a tutorial dialogue system serves as a step toward acquiring tutorial dialogue management models in a fully automated,  ...  We trained an unsupervised dialogue act model on a corpus of human tutorial dialogue in the domain of introductory computer science, and for comparison we trained a supervised model.  ... 
doi:10.1007/978-3-319-19773-9_11 fatcat:bbz5znnivzfoze4iqh73j5qyae
« Previous Showing results 1 — 15 out of 4,087 results