back icon
close icon

Capture phrases in quotes for more specific queries (e.g. "rocket ship" or "Fred Lynn")

Conference Paper  January 1, 2017

Demonstration-based Solution Authoring for Skill Assessment

SRI Authors Melinda Gervasio, Karen Myers

Citation

COPY

Melinda Gervasio and Karen Myers and Michael Wessel. Demonstration-based Solution Authoring for Skill Assessment, in Advances in Cognitive Systems, vol. 5, 2017.

Abstract

The high cost of developing content has been a major impediment to the widespread deployment of intelligent training systems. To enable automated skill assessment, traditional approaches have required significant time investment by highly trained individuals to encode first-principles domain models for the training task. In contrast, approaches grounded in example-based methods have been shown to significantly reduce authoring time. This paper reports on an approach to creating solution models for automated skill assessment using an example-based methodology, specifically targeting domains for which solution models must support robustness to learner mistakes. With this approach, a content author creates a baseline solution model by demonstrating a solution instance and then specifies a set of annotations to generalize from that instance to a comprehensive solution model. Results from a user study show that domain experts are comfortable with the approach and capable of applying it to generate quality solution models. Keywords: Artificial Intelligence, Artificial Intelligence Center, AIC, intelligent tutoring, assessment, model authoring

How can we help?

    Once you hit send…

    We’ll match your inquiry to the person who can best help you. Expect a response within 48 hours.

    Our Privacy Policy