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Analyzing the Effect of an ‘Open Learner Model’ Represented Through a Feedback System in a Teachable Agent System

abstract: For this master's thesis, an open learner model is integrated with Quinn, a teachable robotic agent developed at Arizona State University. This system is represented as a feedback system, which aims to improve a student’s understanding of a subject. It also helps to understand the effect of the learner model when it is represented by performance of the teachable agent. The feedback system represents performance of the teachable agent, and not of a student. Data in the feedback system is thus updated according to a student's understanding of the subject. This provides students an opportunity to enhance their understanding of a subject by analyzing their performance. To test the effectiveness of the feedback system, student understanding in two different conditions is analyzed. In the first condition a feedback report is not provided to the students, while in the second condition the feedback report is provided in the form of the agent’s performance. / Dissertation/Thesis / Masters Thesis Computer Science 2016

Identiferoai:union.ndltd.org:asu.edu/item:38532
Date January 2016
ContributorsUpadhyay, Abha (Author), Walker, Erin (Advisor), Nelson, Brian (Committee member), Amresh, Ashish (Committee member), Arizona State University (Publisher)
Source SetsArizona State University
LanguageEnglish
Detected LanguageEnglish
TypeMasters Thesis
Format57 pages
Rightshttp://rightsstatements.org/vocab/InC/1.0/, All Rights Reserved

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