Implementation of Blended Learning Rotation Model in Teaching Business English and Business Ukrainian in Higher Education Institutions
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The article is devoted to the problem of implementation of a blended learning approach in the language training of undergraduate students specializing in International Economic Relations and Public Management and Administration. The historical background, structural and functional features of blended learning are outlined. The relevance of the study is determined by the benefits of combining online and offline learning modes at Ukrainian universities in wartime as well as by the absence of specialized scientific works providing linguistic and methodological support for interdisciplinary teaching of Business English and Business Ukrainian. Based on the ideas of foreign and Ukrainian scientists and modern methods of scientific research, the present experimental study proves the effectiveness of the rotation model of blended learning for the acquisition of systematized linguistic knowledge, skills, and abilities needed for the effective use of the native and foreign languages in professional communication. The article is illustrated with tables, figures, and samples of instructional materials placed on the Moodle online platform. It also outlines the perspectives for future research on other aspects of blended language learning and interdisciplinary teaching at the university.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it