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Title:      TOWARDS EVALUATING HUMAN-INSTRUCTABLE SOFTWARE AGENTS
Author(s):      Robert D. Grant, David DeAngelis, Dan Luu, Dewayne E. Perry, Kathy Ryall
ISBN:      978-972-8939-52-6
Editors:      Katherine Blashki
Year:      2011
Edition:      Single
Keywords:      User Study, Evaluation, Instructable Computing, Electronic Student, Machine Learning
Type:      Full Paper
First Page:      225
Last Page:      232
Language:      English
Cover:      cover          
Full Contents:      click to dowload Download
Paper Abstract:      The Bootstrapped Learning (BL) project is an attempt to create software agents (e-students) that are instructable by human teachers through natural instruction methods [Oblinger, 2006]. In this paper, we present an introduction to BL and three years of case studies investigating the use of human subjects in evaluating e-students. In our studies we investigate human teachersÂ’ expectations of e-students and important differences between human and software learners, including the greater semantic understanding of humans, the eidetic memory of e-students, and the importance of various study parameters including timing issues and lesson complexity to human performance.
   

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