Metacognitive Reading and Study Strategies and Academic Achievement of University Students With and Without a History of Reading Difficulties
Bibliographic record
Abstract
University students who report a history of reading difficulties have been demonstrated to have poorer word reading and reading comprehension skills than their peers; yet, without a diagnosed learning disability, these students do not have access to the same support services, potentially placing them at academic risk. This study provides a comprehensive investigation of first-year academic achievement for students with a history of reading difficulties (n = 244) compared to students with no such history (n = 603). We also examine reported use of metacognitive reading and study strategies and their relations with GPA. Results indicate that students with a history of reading difficulties earn lower GPA and successfully complete fewer credits compared to students with no history of reading difficulty. These patterns varied somewhat by faculty of study. Students with a history of reading difficulties also reported lower scores across multiple metacognitive reading and study strategy scales, yet these scores were not associated with their academic performance. Together, these results demonstrate the importance of identifying students with a history of reading difficulties and that commonly used study strategy inventories have limited value in predicting their academic success.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".