The formation of students’ Foreign language communicative competence during the learning process of the English language through interactive learning technologies (The study on the basis of Kazan Federal University)
Bibliographic record
Abstract
© Canadian Center of Science and Education. The relevance of this study is determined by the needs of modern society for qualified specialists, which leads to the necessity of improving the system of higher education. This dictates the need for a high-quality preparation of the teacher of English who is able to act as an active subject of the professional activity and who has high levels of communicative competence. A future teacher of English must be fluent in a foreign language and must demonstrate high foreign language communicative competence. However, not all the students of language faculties and specializations reach this level. Thus, there arises the question about a search for new approaches, methods and means of formation of foreign language communicative competence of future teachers of English at the University. At the same time, the student’s foreign language communicative competence is an integrative personal quality, it is a tone which mediates along with other kinds of personal and professional development competence and defines its effectiveness in greater or lesser degree. Interactive learning within the English language teaching provides a full communication between the students and the formation of skills of solving communicative tasks. The communicative competence defined as a significant component of the key competencies and the result of modern education includes linguistic, discourse, sociolinguistic and sociocultural competences as well as socio-personal interactive component correlated with cooperation and tolerance of the student.
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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 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".