The Effect of Total Physical Response Method on Vocabulary Learning/Teaching: A Mixed Research Synthesis
Bibliographic record
Abstract
This aim of this study is to determine the effect of the TPR method on students' vocabulary learning and the factors affecting the effectiveness of this method by combining the findings obtained from both qualitative and quantitative studies. For this purpose, a primary study with 13 quantitative and 7 qualitative findings was included in this study using mixed research synthesis. The data obtained from the studies with quantitative findings were combined with the meta-analysis method and the studies with qualitative findings were separately combined with the thematic synthesis method. Then, using the analytical themes obtained from the thematic synthesis, the variance among the studies included in the meta-analysis was attempted to be explained. As a result of the meta-analysis, it was determined that instruction based on the TPR Model had a “strong” effect size (ES=1.131, 95% CI: -0.705 to 3.729) on academic achievement. As a result of the thematic synthesis, four descriptive themes were formed: "Learning-teaching process in TPR method", "Learning outcomes in TPR method", "motivation" and "Implementation suggestions/requirements". It has been determined that teaching based on the TPR method has significant contributions to the learning process (increasing active participation, learning by having fun, cooperative learning, etc.) and learning outcomes (word learning, correct use, creativity, etc.), motivation in learning, and some requirements (according to teacher and feature) have been determined. According to the descriptive themes obtained from the thematic synthesis, 10 analytical themes were developed. It was observed that all analytical themes were made in the experimental studies, and two of the 10 analytical themes explained the variance among the studies included in the meta-analysis significantly (p<.05).
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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 | 0.152 | 0.270 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.017 |
| Bibliometrics | 0.011 | 0.009 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".