Change in Students’ Educational Expectations – A Meta-Analysis
Bibliographic record
Abstract
Data from the U.S. and Canada indicate that students’ educational expectations are often unrealistically high. Thus, the present meta-analysis tested whether students tend to decrease, on average, their educational expectations from childhood to emerging adulthood. A systematic search in the electronic databases ERIC, PsycInfo, PSYNDEX, and Web of Science identified 91 longitudinal studies the results of which were integrated with multi-level meta-analysis. While expectations about the highest future educational degree showed very small declines per year (of g = -.02 standard deviation units), the mean yearly decline of expectations about future grades was estimated to be g = -.73. Moderator analysis found a decline in expectations about the final degree only in studies from the U.S. and Canada—countries with the highest gap between expectation and future educational attainment. In addition, change in expectations about the final degree varied by age, with the strongest decline being observed around the age of 20 years. We conclude that positive expectations about the final educational attainment often tend to persist over longer intervals probably due to lacking strong counter-evidence and because of indicating a desirable outcome.
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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 | 0.028 | 0.053 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.008 | 0.043 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| 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".