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AIED
2015
Springer

Using Data from Real and Simulated Learners to Evaluate Adaptive Tutoring Systems

3 years 8 days ago
Using Data from Real and Simulated Learners to Evaluate Adaptive Tutoring Systems
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.
José P. González-Brenes, Yun Huang
Added 14 Apr 2016
Updated 14 Apr 2016
Type Journal
Year 2015
Where AIED
Authors José P. González-Brenes, Yun Huang
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