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Using data from real and simulated learners to evaluate adaptive tutoring systems

González-Brenes, JP and Huang, Y (2015) Using data from real and simulated learners to evaluate adaptive tutoring systems. In: UNSPECIFIED.

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Abstract

Classification evaluation metrics are often used to evaluate adaptive tutoring systems-programs that teach and adapt to humans. Unfortunately, evidence suggests that existing convention for evaluating tutoring systems may lead to suboptimal decisions. In a companion paper, we propose Teal, a new framework to evaluate adaptive tutoring. In this paper we propose an alternative formulation of Teal using simulated learners. The main contribution of this novel formulation is that it enables approximate inference of Teal, which may useful on the cases that Teal becomes computationally intractable. We believe that this alternative formulation is simpler, and we hope it helps as a bridge between the student modeling and simulated learners community.

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Details

Item Type: Conference or Workshop Item (UNSPECIFIED)
Status: Published
Creators/Authors:
CreatorsEmailPitt UsernameORCID
González-Brenes, JP
Huang, Yyuh43@pitt.eduYUH43
Date: 1 January 2015
Date Type: Publication
Access Restriction: No restriction; Release the ETD for access worldwide immediately.
Journal or Publication Title: CEUR Workshop Proceedings
Volume: 1432
Page Range: 31 - 34
Event Type: Conference
Institution: University of Pittsburgh
Schools and Programs: Dietrich School of Arts and Sciences > Intelligent Systems
Refereed: Yes
ISSN: 1613-0073
Related URLs:
Date Deposited: 27 Aug 2015 19:01
Last Modified: 27 Feb 2018 15:55
URI: http://d-scholarship.pitt.edu/id/eprint/26060

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