Four Cornerstones of Calibration Research: Why Understanding Students' Judgments Can Improve Their Achievement

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Overconfidence in children's multi-trial judgments of learning (2014, background): “…to their performance has important consequences for learning outcomes, since students study behaviors are closely tied to their metacognitions (Dunlosky & Thiede, 2013; Finn, 2008; Hacker, Bol, & Keener, 2008; Metcalfe & Finn, 2008): When students are overconfident they choose to study fewer…”
Do illustrations help or harm metacomprehension accuracy (2014, background): “Although all three measures of metacomprehension accuracy are similar in that they pertain to how well a person's judgments are related to their target performance, absolute accuracy and confidence bias are statistically independent from relative accuracy (Dunlosky & Thiede, 2013).”
Rethinking the entwinement between artificial intelligence and human learning: What capabilities do learners need for a world with AI? (2022, unknown): “At each step, learners decide what information is relevant and judge how it supports achievement of their learning goals (Dunlosky & Thiede, 2013).”