Application of Reading Aloud in Middle School Oral English Teaching
Bibliographic record
Abstract
As is known, listening, speaking, reading and writing are the four basic language skills. Reading includes reading aloud and silent reading. Since the 1990s, with the popularity of Communicative Teaching Method, schools emphasize the cultivation of language application and communicative ability more and people pay less attention to reading aloud. Gradually students don’t think reading aloud is important any more. However, reading aloud is not only the starting point in English learning but also the foundation of mastering the target language. Ignoring the teaching of reading aloud exacerbates the problem of the “dumb-Chinese English”. Reading English aloud is very meaningful in oral English and it is also one of the effective ways to improve students’ English language ability. This paper focuses on how to effectively apply reading aloud in oral English teaching from the following aspects: the relation between English reading aloud and language sense, the negative impact of ignoring reading aloud, the basic methods and the application of the skills in reading aloud.
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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 | 0.004 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".