Study of University Students’ Foreign Language Speech Activity Formation
Bibliographic record
Abstract
Today the scope of international activity of Russia has increased. In this regard, there has appeared a steady demand for a good knowledge of one of the European languages (English, French or German). However, in teaching university students there is still a number of problems: poor development of pedagogical conditions for increasing the efficiency of university students’ foreign language speech activity; the problem of the evaluation criteria of speech development level and technological organization of students’ language development; ignorance of its methodological and linguodidactic foundations; uncoordinated study of foreign and native languages; lack of consideration of the motivational features of student’s linguistic personality formation, etc. The article reveals the essence, structure and content of foreign language speech activity. The use of problem-solving communication speech and grammar exercises ensures the successful formation of foreign language speech activity in the learning process that forms a meaningful basis for speech activity. The article determines the principles of its organization and presents a structural and functional model of the development of foreign language speech activity. The results of experimental work suggest the viability of structural and functional model of university students’ speech activity formation. The model shows a correlation of its components, justifies pedagogical conditions for its effective implementation, reveals students’ speech activity development level, provides the criteria, proposes diagnostic tools, as well as the complex of problem-solving and communication methods for the future formation of the main types of students’ speech activity that provide professional character and meaningful basis for foreign language speech activity.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".