Within the domain of associative learning, there is substantial evidence that people (and other animals) select among environmental cues on the basis of their reinforcement history. Specifically, people preferentially attend to, and learn about, cueing stimuli that have previously predicted events of consequence (a predictiveness bias). By…

Personalized learning considers that the causal effects of a studied learning intervention may differ for the individual student. Making the inference about causal effects of studies interventions is a central problem. In this paper we propose the Residual Counterfactual Networks (RCN) for answering counterfactual inference questions, such as…

The "nothing-special" account of insight predicts positive correlations of insight problem solving and working memory capacity (WMC), whereas the "special-process" account expects no, or even negative, correlations. In the latter vein, DeCaro, Van Stockum Jr., and Wieth (2016) have recently reported weak negative WMC…

This study developed an integrated-STEM CO[subscript 2] dragster design course using 3D printing technology. After developing a pre-engineering curriculum, we conducted a teaching experiment to assess students' differences in creativity, race forecast accuracy, and learning performance. We compared student performance in both 3D printing and…