Meta Analysis of the Impact of the Flipped Classroom on Secondary Students' Mathematics Performance
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This meta-analysis assesses the effect of flipped classroom on secondary students' mathematics performance. Seven scholarly electronic databases were used to identify the papers published in English language journals on flipped classroom in secondary students' mathematics performance through Google Scholar, Scopus, Proquest, PDF Drive, core.ac.uk, archive.org, elephind.com databases published in 2013 for 2021. With the use of inclusion and exclusion criteria, 15 published research articles were included in the meta-analysis using the preferred reporting items for systematic reviews and meta-analyses (PRISMA). A publication bias showed a positive result in students' mathematics performance. No published studies had shown negative results in secondary students' mathematics performance using flipped classroom as a strategy in teaching. Using larger scope of moderating variables with balanced statistical results in utilizing flipped classroom as a strategy in math instruction may provide more insights that are evidence-informed application and teaching practice.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it