Cognitive training studies yield wildly inconsistent results. One dimension on which studies vary is the scheduling of training sessions (Morrison and Chein, 2011). In this study, we systematically address whether or not spacing of practice influences training and transfer. We randomly assigned 115 fifth grade children to an active control group or one of four training groups who received worki...

This research investigates the linkage between training evaluation, learning design and transfer. A new evaluation model, (i.e., learning-transfer model [LTEM]), was used to examine its ability provide evaluative evidence through robust assessments in pre-, post- delayed assessments. The improve of a nursing programme nudge stakeholders change their practices. mixed-methods approach, called con...

Pre-training is crucial for learning deep neural networks. Most of existing pre-training methods train simple models (e.g., restricted Boltzmann machines) and then stack them layer by layer to form the deep structure. This layerwise pre-training has found strong theoretical foundation and broad empirical support. However, it is not easy to employ such method to pre-train models without a clear ...