Inclusive Higher Education in Kyrgyzstan for People with Physical and Intellectual Disabilities
Bibliographic record
Abstract
Considering the importance of education as a socio-cultural human right, the issue of implementation of inclusive higher education for persons with disabilities is relevant, determined by a set of legal, socio-pedagogical, technical, and financial problems. The study aims to investigate specific organizational and pedagogical factors facilitating the implementation of an inclusive higher education model in the Kyrgyz Republic. The study employed methods that included questionnaires of the subjects of the educational process and statistical analysis of the data obtained in the course of the questionnaire. Including the understanding of inclusion, the role of educational institutions, and effective methodologies for implementing inclusive practices in the educational process, key theoretical aspects were identified as a result of the analysis of modern theoretical concepts and methodological approaches to inclusive higher education. Furthermore, challenges such as the lack of adaptive infrastructure required for students with disabilities, as well as the insufficient preparation of teaching staff to work with the diverse needs of students, were highlighted. The study also covered the social and legal aspects of inclusive higher education in Kyrgyzstan. The legislative framework regulating the rights of students with disabilities was analyzed, and public support and awareness of inclusion in education were assessed. Based on the findings, specific recommendations and strategies were developed to improve inclusive higher education in Kyrgyzstan. These recommendations cover various areas, including educational programs, the training of educators, the creation of accessible infrastructure, and the development of social support programs. The practical relevance of this work lies in the possibility of implementing the recommendations and strategies proposed in this work to improve inclusive higher education in Kyrgyzstan, which contributes to a more accessible and equitable educational environment for all students.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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 teacher head, 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".