Using Professionally-Oriented Electronic Educational Resources to Enhance Foreign Language Competence of Future Border Guard Officers
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
Nowadays, in the context of the restrictions imposed by pandemic and war initiated by Russian federation, it became indispensable to make adjustments to the educational process and use relevant methods to teach future border guard officers of Ukraine foreign languages in order to maximize the efficiency of the educational process at the higher military educational institution. The results of the analysis of practical experience, as well as taking into account the best international practices for training security and defense sector officers, made it possible to determine the optimal electronic educational technologies that can be used for foreign language training of future officers in the context of a various restriction to the educational process. To test the effectiveness of integrating electronic educational resources into the training of future officers, four training groups of the National Academy of the State Border Guard Service were involved, who studied at the same course in the specialty "State Border Security" and "Telecommunications and Radio Engineering". Professional training in the experimental group was carried out with the maximum possible application of electronic educational resources. The effectiveness of integrating professionally-oriented training programs with interface in English, as well as specifically designed ESP distance learning course into the system of professional training of future officers has been proved in practice. This was confirmed by the results of diagnostics of academic achievements of cadets who used electronic means for professional English language training. Although, it is recommended to adhering to a certain ratio of the share of classes using electronic educational resources and practical contact classes.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 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 it