ISSUES AND CHALLENGES OF THE PARAGUAYAN EDUCATIONAL SYSTEM´S MANAGEMENT BASED ON CAPACITIES FOR THE SECONDARY LEVEL. A COMPARATIVE CASE STUDY WITH THE CURRICULUM OF QUEBEC
Bibliographic record
Abstract
This study seeks to generate knowledge and scientific result based on a comparative case study of Canadian (Quebec) educational management for the improvement of the education quality in Paraguay. Also, this research will provide a basis for future studies that can aim at raising the quality of work with other countries to face educational projects in a short, medium and long term. It will provide data to the Government staff for making future decisions. This study is designed with respect to the qualitative research method, the theoretical research and comparative case study. The responses of the interview are essential to compare with the literature review and then make conclusions. These conclusions aim to show the possibility of implementing new strategies of educational management in Paraguay. In order to collect data two professionals in the field of education system from Paraguay and Canada (province of Quebec) will participate in this study by giving their knowledge, opinion and experiences applying a questionnaire. The overall finding of the study, based on these interviewee’s experiences and the literature review, indicates that the educational management based on capacities improvement has a positive impact on society in terms of inculcating new abilities, knowledge, and values among students to face real needs and issues of the real life. In this respect, this paper provides beneficial information explaining that teachers’ work, supported by an innovative, dynamic and participatory educational management, increases the quality of education of students
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".