Academic English as a Component of Curriculum For ESL Students (Foreign Experience)
Bibliographic record
Abstract
Abstract It has been substantiated that Academic English must be an integral component of ESL students’ study at foreign languages departments to achieve success as professionals and be ready to realize themselves in a demanding world of today. We have defined the main problem on the way to it, namely the insufficient provision of the Academic English discipline in curricula of foreign language departments or its absence. The necessity to elaborate a syllabus for Academic English discipline being taught throughout all the course of study has been substantiated. Educational programs of Academic English in a number of foreign educational establishments of Great Britain, the USA, Canada and Australia have been analyzed and their defining features have been outlined. Strategies and conditions for effective teaching of Academic English have been characterized. It has been defined that in general, in spite of slight differences in the topics covered by different EAP programs, all of them are aimed at: developing strategies and vocabulary for reading and understanding academic texts; finding, understanding, describing and evaluating information for academic purposes; developing active listening and effective note-taking skills; building on language skills to describe problems and cause-and-effect; gathering a range of information, using the skills learned, to integrate it into a written report; engaging in peer-to-peer feedback before finalising one’s piece of academic work. Requirements for students’ achievements at the end of the course have been determined. As a basis for Academic English syllabus elaboration has been chosen a course by M. Hewings and C. Thaine (upper-intermediate and advanced levels). On its basis we have defined units to be covered by the course as well as skills to be developed. Recommendations as to better and more efficient teaching of the discipline have been outlined.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".