Analyzing ICT Policy in K-12 Education in Sudan (1990-2016)
Bibliographic record
Abstract
The aim of this study of ICT policy in K-12 education in Sudan is to investigate the status of planning for technologyin education and then determine how the advantage of ICT can best serve the educational system and improveeducational outcomes. The study examined two plans for ICT in education, addition to an interview with theeducational planning manager, and information center of federal ministry of general education, and other documentsfrom the ministry of education, as well as recommendations of previous studies which emphasized the need forpolicy to be compatible with other countries may face semi conditions of Sudan, and importance of compatible withUNESCO declarations (Incheon& Qingdao, 2015). The results of this study showed the need for policy emphasis onusing technology in education, K-12 education in Sudan requires better technology equipment, inclusive ICT policyincludes primary and secondary education need to formulate. The study also suggests that evaluation and assessmentare required in order to get more effective solutions and cope with the international educational progress of ICT inK-12 education.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".