Inclusive Education as a Condition for Innovative Activities at Higher Education Institutions
Bibliographic record
Abstract
This study discusses the activities of higher education institutions in the context of inclusive education as an innovative approach. The introduction of inclusive education in the modern higher education system is highly important. The existing specialised education system is undergoing changes resulting in new requirements for work with people with special educational needs in various areas. The purpose of this study is to consider the mechanism of implementation of inclusive education in the activities of higher education institutions, which ensures accessibility and requires high-quality education, in particular, taking into account the educational needs of every individual. The problems of the educational process faced by the students are analysed in detail. This study justifies the necessity of introducing inclusive education in modern educational systems, describes positive experiences of some higher education establishments, provides a step-by-step analysis of the introduction of inclusive education in higher education institutions in Ukraine and defines promising areas for its implementation. This study's theoretical and methodological basis included the works of the world’s leading scientists and a regulatory framework for inclusive education. The article presents students’ attitudes to the implementation of inclusive education. To achieve these objectives, the analysis of the latest research on the implementation of the right to education of persons with special educational needs was carried out. The study results showed a positive attitude towards inclusive education and joint education of people with special educational needs. The study found that inclusive education requires more time and effort to organise the educational process. The introduction of inclusive education elements can increase the efficiency of this process. The effective use of the methods to implement inclusive education in higher education institutions contributes to achieving its goals and results. The introduction of inclusive education provides an effective operational analysis of training quality for students with special educational needs and educational process adjustments, which ultimately creates a management system.
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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 | 0.006 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.006 | 0.010 |
| Scholarly communication | 0.011 | 0.006 |
| Open science | 0.001 | 0.012 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".