Metacognition is the engine of self-regulated learning. At the object level, learners seek information and choose learning tactics and strategies they forecast will develop knowledge. At the meta level, learners gather and analyze data about learning events to draw conclusions, such as: Is this tactic a good fit to conditions? Was it effective?…

Despite strong evidence that students' self-regulated learning (SRL) capacity and performance predict important academic and lifelong learning outcomes, SRL remains largely absent from educational standards and curricula. That absence has implications for students, surely, but it also affects what pre-service teachers learn and how in-service…

We provide a conceptual commentary on the articles in this special issue, first by describing the unique features of each study, focusing on what we consider to be their theoretical and methodological contributions, and then by highlighting significant crosscutting themes and future directions in the study of SRL. Specifically, we define SRL to be…

We discuss the articles of this special issue with reference to an important yet previously only implicit dimension of study quality: alignment across the theoretical and methodological decisions that collectively define an approach to self-regulated learning. Integrating and extending work by leaders in the field, we propose a framework for…

There is a heightened understanding that metacognition and strategy use are crucial to deep, long-lasting comprehension and learning, but their assessment is challenging. First, students' judgments of what their abilities and habits and measurements of their performance often do not match. Second, students tend to learn and comprehend differently…