Examining the Formation of Integrative Readiness of Pre-Service Teachers to work in Inclusive Classrooms in Ukraine
Bibliographic record
Abstract
The article addresses potential issues surrounding the development of the integrative readiness of pre-service teachers to work in inclusive classrooms in Ukraine. Integrative readiness is an open, dynamic, synergistic system functioning of cognitive, motivational, affective, and selective processes which is developed through the purposeful training of future teachers for work in inclusive, which is included in the educational social environment as a tool for acquiring productive knowledge, forming integrative skills. The structure of integrative readiness includes personality orientation; ability to perform their duties, professional competences; productive knowledge that the student receives from environmental information based on personal prior knowledge, skills, personal and professional qualities, and integrative skills that demonstrate the ability of an individual to make independent decisions and appropriate actions in unpredictable new situations. The levels of integrative readiness were investigated, covering the following interrelated stages: theoretical analysis, synthesis, comparison; modelling and technological design; generalization; observational; pedagogical experiment. A study was conducted. The research involved 285 pre-service teachers from the Ternopil Volodymyr Hnatiuk National Pedagogical University, enrolled in the Speciality 016: Special Education unit. A structural model of the formation of integrative readiness of future teachers for professional activity was developedwhich consisting of the following blocks: target, content and procedural, and resultant. The research finding reported that the effectiveness of corrective, developmental, and educational work in the educational inclusive space largely depended upon the quality of training of the pre-service teacher, and the use of active and interactive training.
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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 | 0.002 |
| 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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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 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".