Article: Constructing knowledge from dialog in an intelligent tutoring system: interactive learning, vicarious learning, and pedagogical agents.

 
 College students either interacted directly with an intelligent 
 tutoring system, called AutoTutor, by contributing to mixed 
 initiative dialog, or they simply observed, as vicarious 
 learners, previously recorded interactive sessions. The mean 
 pretest to posttest effect size (Cohen's d) across two studies 
 was 1.86 in the interactive conditions and 1.12 in standard 
 vicarious conditions. In Experiment 1, redundant onscreen 
 printed text produced an effect size of 0.43, but the 
 difference was not significant. In addition, the image of a 
 talking head presenting AutoTutor's contributions to ...

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