Psychological Diagnosis of Master Students' Personal, Professional Development in the Context of Modern Education
Bibliographic record
Abstract
The article's psychological diagnosis of master students' personal, professional development is considered a process of professional socialization and professional development. Undergraduates, as future researchers, teachers of educational activity are required to have certain professional qualities. The research aims to determine the dynamics of professional development of graduates in science and pedagogical process. For this purpose, the method Cattell (16PF, scale C), the diagnostic questionnaire of personality status and traits (FPI), a questionnaire of Otto Lipmann (1 variant), the questionnaire of "The level of subjective control," by J. Rotter have been used. While studying, it was underlined that master students possess: increased externalities trends in personal and industrial relations (i.e., the main areas for the teacher relationship), strengthening conservative tendencies in behavior, as opposed to radicalism and other professional qualities for teaching and research activities. Successful undergraduate is characterized by a greater tendency to depression, compared to less successful, he is more sensitive, competent, internality, and responsible for achieving, and creative. It was noted that the factor structure of variant individuality-personal features of undergraduates includes the factors of "professional competence," "professional motivation," and "professional internality."
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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 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".