Overconfidence in self-assessment is especially concerning in online learning environments where limited external feedback widens gaps between perceived and actual performance¶
Claim · All claims
Evidence · 1 study · associationalr?·q1
Currency · newest study 2025 · not yet checked against its sources · not reviewed by a person
Subclaims¶
Reading the evidence codes
q is the design tier, i the impact, n the sample, and the kind with its r
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This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.
q1 i? The challenges students face in self-assessing their understanding are particularly pronounced in online learning environments where limited external feedback can exacerbate calibration discrepancy. → HaeJin Lee · Nigel Bosch 2025
Evidence¶
HaeJin Lee · Nigel Bosch 2025¶
HaeJin Lee · Nigel Bosch. (2025). Calibration Discrepancy Predicts Students’ Subsequent Metacognitive Strategy Use in Computer-based Learning Environments. International Journal of Artificial Intelligence in Education. https://doi.org/10.1007/s40593-025-00514-5
q1 · i? · associational · r?
Theoretical argument in the article's review: "limited external feedback can exacerbate the issue", because online learners miss real-time interactions with instructors and peers that are crucial for evaluating performance. The article offers this as literature-grounded motivation, citing Bringula et al. (2021).
"The challenges students face in self-assessing their understanding are particu - larly pronounced in online learning environments (Bringula et al., 2021), where lim - ited external feedback can exacerbate the issue"
Discussion¶
Related Claims¶
- AI literacy instruction widened a confidence-knowledge gap: students' perceived understanding of AI tools increased significantly after instruction while actual knowledge improved minimally — a narrower finding that bears on this claim
- Questionnaire data may capture learners' perceptions rather than the strategies they actually performed — related
- Fluent Illusions Mislead Self Assessment — related
- College students who overestimate their pretest retrospective judgments engage less in preparatory metacognitive strategies before quizzes in computer-based learning environments — a narrower finding that bears on this claim
- Pretest retrospective judgments, rather than actual pretest scores, predict college students' engagement in preparatory metacognitive strategies — related
- Traditional self-report methods face significant limitations in capturing the dynamic nature of SRL — related
- Students' perceptions of the tool's impact on learning were partly consistent with their self-reported metacognitive gains and logged tool use — a narrower finding that bears on this claim
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by process:wiki-ingest on 2026-10-27 |
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