Agreeing is Not the Same as Accepting: Exploring Pre-Service Teachers’ Growth Mindsets
Bibliographic record
Abstract
The popularity of mindset theory has resulted in a surge of mindset interventions in schools. However, with increased popularity, there is the potential for misunderstandings and hesitations about what a growth mindset fully entails. Therefore, we sought to disentangle which components of growth mindset messages pre-service teachers find hard to accept alongside their level of agreement with growth mindset questionnaire items. We used a descriptive design with both quantitative and qualitative data to explore 182 pre-service teachers’ responses to growth mindset messages. The results of this study suggest that pre-service teachers hold a growth mindset. However, despite strong quantitative endorsements, in the qualitative analyses we determined three ways in which participants found a growth mindset hard to accept: (1) the notion of mindset theory itself, (2) the level of growth, (3) and the necessary actions behind having a growth mindset. The findings of this study suggest we need to pay close attention to false growth mindsets in theory and practice.
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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 | 0.015 | 0.030 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.009 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.004 |
| 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".