A semi-automated wizard of oz interface for modeling tutorial strategies

Authors:
Paola Rizzo;Hyokyeong Lee;Erin Shaw;W. Lewis Johnson;Ning Wang;Richard E. Mayer
Affiliations:
Dept. of Computer Science, University of Rome “La Sapienza”, Rome, Italy;Information Sciences Institute, University of Southern California, Marina del Rey, CA;Information Sciences Institute, University of Southern California, Marina del Rey, CA;Information Sciences Institute, University of Southern California, Marina del Rey, CA;Information Sciences Institute, University of Southern California, Marina del Rey, CA;Dept. of Psychology, University of California, Santa Barbara, CA
Venue:
UM'05 Proceedings of the 10th international conference on User Modeling
Year:
2005

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Computers & Education
Usability engineering for the adaptive web

The adaptive web

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Abstract

Human teaching strategies are usually inferred from transcripts of face-to-face conversations or computer-mediated dialogs between learner and tutor. However, during natural interactions there are no constraints on the human tutor's behavior and thus tutorial strategies are difficult to analyze and reproduce in a computational model. To overcome this problem, we have realized a Wizard of Oz interface, which by constraining the tutor's interaction makes explicit his decisions about why, how, and when to assist the student in a computer-based learning environment. These decisions automatically generate natural language utterances of different types according to two “politeness” strategies. We have successfully used the interface to model tutorial strategies.