The monitoring of one’s own knowledge during study suffers from an inherent discrepancy between study and test situations: Judgments of learning (JOLs) are made in the presence of information that is absent but solicited during testing. The failure to discount the effects of that information when making JOLs can instill a sense of competence during learning that proves unwarranted during testing. Using a paired-associates task, the authors examined aspects of the cue–target relationships that seemed likely contributors to such illusions of competence. These aspects have the potential to create differential strengths of a priori and a posteriori associations, that is, the probability with which a cue, when presented alone, elicits the corres...
Research suggests that individuals who believe their intelligence has the capacity to incrementally ...
The present study aimed to reconcile two hypothetical mechanisms driving JOL delay effects. The firs...
Research on calibration typically compares mean judgments-of-learning (JOLs) made on a 0–100% scale ...
When people try to learn new information (e.g., in a school setting), they often have multiple oppor...
Eventual memory performance is predicted more accurately when a person’s judgment of learning (JOL) ...
Properly tuned metacognitive knowledge is important for setting up realistic learning goals. One of ...
A. Koriat's (1997) cue-utilization framework provided a significant advance in understanding ho...
This study tested models relating metacognitive judgments of learning (JOL) to learners’ choices of ...
Current memory theories generally assume that memory performance reflects both recollection and auto...
Judgments of learning (JOLs) play a fundamental role in helping learners regulate their study strate...
The authors investigated the theoretical question of whether different kinds of encoding can affect ...
The underconfidence-with-practice (UWP) effect is a common finding in calibration studies concerned...
Research has shown that judgments of learning (JOLs) often produce a reactive effect on the learning...
This study aimed to look closer at a specific aspect of metacognitive monitoring???\ud judgments of ...
Effective learning demands knowledge about what learning strategies are most effective. Much researc...
Research suggests that individuals who believe their intelligence has the capacity to incrementally ...
The present study aimed to reconcile two hypothetical mechanisms driving JOL delay effects. The firs...
Research on calibration typically compares mean judgments-of-learning (JOLs) made on a 0–100% scale ...
When people try to learn new information (e.g., in a school setting), they often have multiple oppor...
Eventual memory performance is predicted more accurately when a person’s judgment of learning (JOL) ...
Properly tuned metacognitive knowledge is important for setting up realistic learning goals. One of ...
A. Koriat's (1997) cue-utilization framework provided a significant advance in understanding ho...
This study tested models relating metacognitive judgments of learning (JOL) to learners’ choices of ...
Current memory theories generally assume that memory performance reflects both recollection and auto...
Judgments of learning (JOLs) play a fundamental role in helping learners regulate their study strate...
The authors investigated the theoretical question of whether different kinds of encoding can affect ...
The underconfidence-with-practice (UWP) effect is a common finding in calibration studies concerned...
Research has shown that judgments of learning (JOLs) often produce a reactive effect on the learning...
This study aimed to look closer at a specific aspect of metacognitive monitoring???\ud judgments of ...
Effective learning demands knowledge about what learning strategies are most effective. Much researc...
Research suggests that individuals who believe their intelligence has the capacity to incrementally ...
The present study aimed to reconcile two hypothetical mechanisms driving JOL delay effects. The firs...
Research on calibration typically compares mean judgments-of-learning (JOLs) made on a 0–100% scale ...