Oral Fluency: The Neglected Component in the Communicative Language Classroom
Bibliographic record
Abstract
In this paper, we argue that current instructional ESL resources must be supplemented to facilitate the effective development of learners’ oral fluency. We summarize some of the pertinent literature on L2 fluency and report the results of a survey of fluency activities (free production, rehearsal/repetition, consciousness-raising, and use of formulaic sequences and fillers) found in 28 ESL learner texts and 14 teacher resource materials. The findings indicated a heavy emphasis on free-production tasks in both learner and teacher resource books, with less focus on the use of formulaic sequences, rehearsal, and repetition. Learner texts were sorely lacking in consciousness-raising activities; furthermore, fewer than half of the teacher resource books included these. We describe types of oral fluency instruction that can be integrated into L2 classes to address these deficiencies. Finally, we propose contact activities to assist learners in developing fluency outside their ESL courses, and suggestions for research.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.004 | 0.002 |
| 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".