The Effects of Deductive and Inductive Grammar Instructions in Communicative Teaching
Bibliographic record
Abstract
A quasi-experimental study investigated the effectiveness of inductive and deductive types of instruction in the acquisition of a complex grammatical structure, the passive voice. The participants were two groups (n = 34) of second-year Japanese students from a vocational school who had three treatment lessons designed for each group embedded into the course curriculum. The quantitative and qualitative data were gathered to seek possible connections between students’ preferences and learning gains. Using a pretest and posttest design, we compared the results of recognition and production tests for inductive and deductive instruction groups. Both types of instructions were found beneficial for learners and yielded a significant effect between the production part of the pre- and post-tests, however, the inductive group significantly outperformed the deductive group on the recognition test. The qualitative data indicated students’ preferences toward deductive instruction, as it is traditional and well-known in Japan. The results of the study suggest using the inductive type of instruction with simpler grammar and deductive instruction with more complex grammatical structures. The authors advocate the importance of practicing both types of instructions. The study also shows the benefits of using CLT for teaching English in Japan. 
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How this classification was reachedexpand
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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".