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…

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…

The contributors to this special issue explore the connections between metacognition and personal epistemology. This commentary on the five articles addresses definitional concerns regarding both epistemology and metacognition, discusses the conceptual relation between the constructs, critiques methodological approaches, and suggests developmental…

This paper describes five indices of metacognitive monitoring referred to as absolute accuracy, relative accuracy, bias, scatter, and discrimination. I provide definitions, formulae, and a discussion of the underlying construct that each of the five types of scores measures. I discuss the type of information provided by each measure and compare…