The Case Study Technologies as the Means of Competency Building Approach Realization in Higher Education of Russia
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 problem of increasing education efficiency in Russian high school under the condition of well-organized educational process with using “Case-study” technology is considered in the article. The article is devoted to the methodology of case study, and especially its implementation in Kazan Federal University, the Institute of Philology and Intercultural Communication. The experiment was held in two groups (experimental and control) diagnosing communicative, social, occupational and educational cognitive motives and motives of self-actualization, avoiding failure and prestige. The study was conducted in such disciplines as “English Language”, “Training and education in the field of foreign languages”. To measure the number of observed qualities of student’s personality the diagnostic technique level of formation of students learning motivation was selected. The resulting figures revealed a positive trend from the use of case technology in the classroom with students.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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