The benefits of incorporating process information in a large-scale assessment with the complex micro-level evidence from the examinees (i.e., process log data) are well documented in the research across large-scale assessments and learning analytics. This study introduces a deep-learning-based approach to predictive modeling of the examinee's…

When projects are the spine of a course, they are systematically sequenced one after the other, and they do the heavy lifting of the course. They teach its core content and skills. The author has been testing this model of course design for several years, aiming for experiential learning that is tied to deep rather than superficial learning of…

People must often engage in sequential sampling in order to make predictions about the relative quantities of two options. We investigated how directional motives influence sampling selections and resulting predictions in such cases. We used a paradigm in which participants had limited time to sample items and make predictions about which side of…