CurriculumNet: Creating Freely Available Curriculum Materials to Meet Uganda's Growing Student Population
Bibliographic record
Abstract
The National Curriculum Development Center (NCDC), an office under the Ugandan government's Ministry of Education and Sports has using Information and Communication Technologies (ICTs) to assist in addressing the curriculum needs of the growing student population in both rural and urban schools in Uganda. With funding from the Canadian International Development and Research Centre (IDRC), the NCDC developed CurriculumNet, the goal of which has been to develop, test, and integrate ICT-based instructional materials and teaching into existing Ugandan curriculum. This report presents key practices and learnings of the CurriculumNet project in terms of its collaborative curriculum development process, as well as the opportunities and challenges faced by the project overall. Through analysis of the projects internal documentation, as well as interviews with the CurriculumNet project leader, this report documents how the project developed and disseminated content to meet curriculum needs while also addressing funding and infrastructure related challenges.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.275 | 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; both teacher heads agree on what is shown here.
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".