Pedagogical Stimulation of University Students’ Social Competence Development by Means of Interdisciplinary Integration
Bibliographic record
Abstract
The most important component of social and economic development of the country is knowledge and information requiring mastery of higher education. The new paradigm of higher education is not training only to obtain specific knowledge but to learn to adapt to a qualitatively different conditions of life, to work in an ever-changing socio-economic environment. Successful career of the young specialist after graduation and application of acquired knowledge and skills in practice depend on the formation of key competencies in an educational institution. Nowadays Russian society demands specific results of vocational education meaning not only graduates’ professional knowledge but his practical readiness for activities in standard and non-standard situations of professional life. The article is devoted to special educational outcomes of vocational education in which knowledge is a necessary but not sufficient condition for achieving the required quality. It deals with the professional competence and its components such as vocational and key (basic) competences. The article describes the features of pedagogical stimulation of university students’ social competence development by means of interdisciplinary integration. It defines the concept “social competence” and describes pedagogical conditions for stimulation of university students’ social competence development. The study puts forward the indicators of social competence formation and presents the results of experimental work on university students’ social competence development.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".