Metacognition is important for successful goal-directed behavior. It consists of two main elements: metacognitive knowledge and online awareness. Online awareness consists of monitoring and self-regulation. Metacognitive sensitivity is the extent to which someone can accurately distinguish their own correct from incorrect responses and is an…

Prior knowledge is often strongly related to students' learning. In the present research, we explored the relationship between prior knowledge and the accuracy of students' predictive monitoring judgments (judgments of learning; JOLs) and postdictive monitoring judgments (confidence judgments). In four experiments, students completed prior…

This experimental study examined whether the uninformative anchoring effect, which should be ignored, on judgments of learning (JOLs) was eliminated through the learning experience. In the experiments, the participants were asked to predict whether their performance on an upcoming test would be higher or lower than the anchor value (80% in the…

Students often make incorrect predictions about their exam performance, with the lowest-performing students showing the greatest inaccuracies in their predictions. The reasons why low-performing students make inaccurate predictions are not fully understood. In two studies, we tested the hypothesis that low-performing students erroneously predict…

Research has shown that judgments of learning (JOLs) often produce a reactive effect on the learning of cue-target pairs in which target recall differs between participants who provide item-based JOLs at study versus those who do not. Positive reactivity, or the memory improvement found when JOLs are provided, is typically observed on related…

When we monitor our learning, often measured via judgments of learning (JOLs), this metacognitive process can change what is remembered. For example, prior work has demonstrated that making JOLs enhances memory for related, but not unrelated, word pairs in younger adults. In the current study, we examined potential age-related differences in…

We collected data on students' self-assessment behavior from four sections of a Calculus II course. Students were asked to write their expected scores on each of the weekly in-class quizzes and problems in the exams, immediately after they completed them. They were then asked to justify their expectation in writing. One-on-one interviews were…

There is currently a lack of a more integrated perspective on reading literacy education. In preschool reading activities, it's important to maximize an individual's potential for reading literacy development with limited nurturing energy. Based on self-regulated theory and metacognitive models, this study explored the pathway model of the…

When making memory predictions (judgments of learning; JOLs), people typically underestimate the recall gain across multiple study-test cycles, termed the underconfidence-with-practice (UWP) effect. This is usually studied with verbal materials, but little is known about how people repeatedly learn and monitor their own actions and to what extent…

The advent of COVID-19 highlighted widespread misconceptions regarding people's accuracy in interpreting quantitative health information. How do people judge whether they accurately answered health-related math problems? Which individual differences predict these item-by-item metacognitive monitoring judgments? How does a brief intervention…

The research investigated relationships amongst beliefs about the self-regulation of learning (SRL), study strategies and academic performance in 366 pre-service teachers. A Beliefs about Learning and Teaching (BALT) Questionnaire was used to examine beliefs that were both consistent and inconsistent with SRL. The final model emerging from the…

Evidence is mixed concerning whether delayed judgments of learning (JOLs) enhance learning and if so, whether their benefit is similar to retrieval practice. One potential explanation for the mixed findings is the truncated search hypothesis, which states that not all delayed JOLs lead to a full-blown covert retrieval attempt. In three…

Student learning in introductory science, technology, engineering, and mathematics (STEM) courses is often self-regulated. For self-regulated learning to be effective, students need to engage in accurate metacognitive monitoring to make appropriate metacognitive control decisions. However, the accuracy with which individuals monitor their task…

The influential metacognitive framework of Nelson and Narens (1990) distinguishes between "object-level" and "meta-level," with two metacognitive processes, monitoring and control, governing the interplay between them. Monitoring refers to the process by which the meta-level tracks the accuracy of object level-performance,…

This meta-analytic study estimated the correlations among metacognition, intelligence, and academic performance. Metacognition is higher order cognition and one of the most significant predictors of academic performance. The purpose of this study was to examine the degree to which metacognition predicted academic performance when controlling for…