AbstractDeveloping self-regulated learners has been the life-long ambition of different stakeholders in education. This study was set out to find the relationships between self-regulated strategies as defined by time and resource management, cognitive and metacognitive strategies, achievement goals classified as mastery, performance-approach and performance-avoidance, and the listening ac...

Learners sometimes have incoherent and fragmented intuitive prior knowledge that is (partly) "incompatible" with the to-be-learned contents. Such knowledge in pieces can cause conceptual disorientation and cognitive overload while learning. We hypothesized that a pre-training intervention providing a generalized schema as a structuring framework for such knowledge in pieces would support (re)or...

PURPOSE The purpose of this study is to investigate the pursuit of achievement goals in medical students and to assess the relationship between achievement goals, learning strategy, and motivation. METHODS Two hundred seventy freshman and sophomore premedical students and sophomore medical school students participated in this study, which used the Achievement Goals Scale and the Self-Regulate...

AbstractDeveloping self-regulated learners has been the life-long ambition of different stakeholders in education. This study was set out to find the relationships between self-regulated strategies as defined by time and resource management, cognitive and metacognitive strategies, achievement goals classified as mastery, performance-approach and performance-avoidance, and the listening ac...

OBJECTIVE Computerized Provider Order Entry (CPOE) with electronic documentation, and computerized decision support dramatically changes the information environment of the practicing clinician. Prior work patterns based on paper, verbal exchange, and manual methods are replaced with automated, computerized, and potentially less flexible systems. The objective of this study is to explore the inf...

In open world applications a number of machine-learning techniques may potentially apply to a given learning situation. The research presented here illustrates the complexity involved in automatically choosing an appropriate technique in a multistrategy learning system. It also constitutes a step toward a general computational solution to the learning-strategy selection problem. The approach is...