Can Grit be Taught? Lessons from a Nationwide Field Experiment with Middle-School Students
Bibliographic record
Abstract
This paper studies whether a particular socio-emotional skill —grit (the ability to sustain effort and interest toward long-term goals)—can be cultivated and how this affects student learning. The paper implements, as a randomized controlled trial, a nationwide low-cost intervention designed to foster grit and self-regulation among sixth and seventh grade students in primary schools in North Macedonia (about 33,000 students across 350 schools). Students exposed to the intervention report improvements in self-regulation, in particular the perseverance-of-effort facet of grit, relative to students in a control condition. The impacts on students are larger when both students and teachers are exposed to the curriculum than when only students are treated. Among disadvantaged students, the study also finds positive impacts on grade point averages, with gains of up to 28 percent of a standard deviation one year post-treatment. However, the findings also point toward a potential downside: although the intervention made students more perseverant and industrious, there is some evidence that it may have reduced consistency in their interests over time.
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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 | 0.005 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".