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Dealing with Interpretation Errors in Tutorial Dialogue.
We describe an approach to dealing with interpretation errors in a tutorial dialogue system. Allowing students to provide explanations and generate contentful talk can be helpful for learning, but the language that ...
Diagnosing natural language answers to support adaptive tutoring
Understanding answers to open-ended explanation questions is important in intelligent tutoring systems. Existing systems use natural language techniques in essay analysis, but revert to scripted interaction with short-answer ...
Understanding student input for tutorial dialogue in procedural domains
We present an analysis of student language input in a corpus of tutoring dialogue in the domain of symbolic differentiation. Our focus on procedural tutoring makes the dialogue comparable to collaborative problem-solving ...
Using Natural Language Processing to Analyze Tutorial Dialogue Corpora Across Domains and Modalities
Our research goal is to investigate whether previous findings and methods in the area of tutorial dialogue can be generalized across dialogue corpora that differ in domain (mechanics versus electricity in physics), ...
Adaptive Tutorial Dialogue Systems Using Deep NLP Techniques
We present tutorial dialogue systems in two different domains that demonstrate the use of dialogue management and deep natural language processing techniques. Generation techniques are used to produce natural sounding ...
The Beetle and BeeDiff Tutoring Systems
We describe two tutorial dialogue systems that adapt techniques from task-oriented dialogue systems to tutorial dialogue. Both systems employ the same reusable deep natural language understanding and generation components ...