Exploring the Effectiveness and Impacts of Teaching Intervention in Chinese Learning
Bibliographic record
Abstract
The present study aimed to investigate the effectiveness of teaching intervention for Chinese learners, who were English speakers who tended to focus on phonemic awareness, in learning Chinese. It also tried to examine the impacts of Chinese phonological and morphological awareness on their English language development. The study was conducted in classrooms for third graders from an elementary school in Beijing. The intervention of Chinese program was implemented for a whole year. The morphology-related instruction was adopted in the experimental class, and tradition Chinese teaching instruction was used in the control class. Results showed that students’ reading proficiency (including character reading and sentence reading) in experimental class was significantly higher than the one in control class, which suggested that the teaching intervention was effective and successful in improving these learners’ Chinese reading proficiency, and they made a great progress after one year Chinese learning. Chinese radical awareness was a significant contributor to their English comprehension and could predict their English development. Pedagogical implications for promoting English speakers’ Chinese learning were provided.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".