Name
Title | ||
|---|---|---|
A comparison of decision-theoretic, fixed-policy and random tutorial action selection |
Abstract | ||
|---|---|---|
DT Tutor (DT), an ITS that uses decision theory to select tutorial actions, was compared with both a Fixed-Policy Tutor (FT) and a Random Tutor (RT). The tutors were identical except for the method they used to select tutorial actions: FT employed a common fixed policy while RT selected randomly from relevant actions. This was the first comparison of a decision-theoretic tutor with a non-trivial competitor (FT). In a two-phase study, first DT's probabilities were learned from a training set of student interactions with RT. Then a panel of judges rated the actions that RT took along with the actions that DT and FT would have taken in identical situations. DT was rated higher than RT and also higher than FT both overall and for all subsets of scenarios except help requests, for which DT's and FT's ratings were equivalent. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1007/11774303_12 | Intelligent Tutoring Systems |
Keywords | Field | DocType |
help request,random tutor,random tutorial action selection,dt tutor,tutorial action,common fixed policy,decision theory,identical situation,decision-theoretic tutor,fixed-policy tutor,non-trivial competitor,action selection | Training set,TUTOR,User assistance,Computer science,Cognitive tutor,Artificial intelligence,Decision theory,Action selection,Machine learning | Conference |
Volume | ISSN | ISBN |
4053 | 0302-9743 | 3-540-35159-0 |
Citations | PageRank | References |
5 | 0.87 | 5 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| R. Charles Murray | 1 | 156 | 23.25 |
| Kurt VanLehn | 2 | 2352 | 417.44 |