Development of Students-Foreigners’ Communicative Competence by Means of Information Technologies under the Conditions of the Medical University
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 deals with an urgent issue of a systematic research of foreign students studying in Ukraine. Successful learning and social adaptation of young people greatly depend on learning the Ukrainian language. In addition to the obvious advantages, it is advisable to pay particular attention to the system of theoretical and methodological support of the educational process, starting from the author’s textbooks and finishing with modern information technologies. Forming the communicative competence of a medical professional is impossible without taking into account the value-motivational side of this process. In this regard, the communicative training of the healthcare worker is viewed within an axiological approach. As a consequence, professional values are the central category. Peculiarities of future doctors’ professional values formation as a component of communicative competence are considered. The study, aimed at analysing the development of professional qualities of foreign medical students, was conducted at I. Horbachevsky Ternopil National Medical University in the 2018-2019 academic year.The study was carried out under the guidance of professors A.Vykhrushch and N. Fedchyshyn by lecturers of I Horbachevsky Ternopil National Medical University T. Khvalyboha (EdD), I. Drach (PhD), M. Rudenko (PhD) that teach students-foreigners at the Department of the Ukrainian Language and Department of Foreign Languages.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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