The Application of Methods for Creative Development of Personalities in Natural Sciences in Studying Foreign Languages for Specific Purposes
Bibliographic record
Abstract
This investigation proposes to apply the methods of training creativity in the natural sciences to teaching a foreign language for specific purposes. This approach is based on the testing of foreign language competencies in different countries, on the task of training higher education specialists, including foreign language training, on the requirements for learning foreign languages, formulated by the European institutions, and on the requirements for specialists in EU. The methods of teaching creativity of specialists in the natural sciences are based on Molyako’s (2008) five strategies of creative design activity. Their practical application demonstrated in teaching physics has been used in teaching English for specific purposes. The analysis of the results of the application of the proposed methods was carried out based on a questionnaire by Popek (2000), which allows differentiating persons with creative aptitudes. The results of the analysis indicate the feasibility of applying the proposed methods for the creative development of personalities following the needs of modern social relations, focused much more on synthesis and interconnection than on the analysis of individual phenomena and processes.
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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 | 0.008 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.005 | 0.003 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".