Research Post
In this study, we examined the teaching effectiveness of three strategies (trial-and-error, textbook, and combination) via a computer-based learning environment (CBLE) that teaches smart-home installation (SHiB). One hundred and twenty-five participants were randomly assigned to one of the strategies and tested with SHiB CBLE. Findings revealed that participants in the combination condition performed significantly better than those in the textbook (control) group with medium effect-size (g = 0.70). Senior participants in the trial-and-error group performed significantly better than those in the control condition with large effect-size (g = 0.89). Younger participants in the combination condition performed significantly better than those in the control condition with medium effect-size (g = 0.70). Results suggest that the teaching strategies had differential effects due to age groups.
Jan 31st 2023
Research Post
Jan 20th 2023
Research Post
Aug 8th 2022
Research Post
Read this research paper co-authored by Canada CIFAR AI Chair Angel Chang: Learning Expected Emphatic Traces for Deep RL
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