ICT on the Margins: Lessons for Ugandan Education
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract In this end piece, we argue that while this special issue shifts debates on the digital divide to address students' capacity to use Information and Communication Technologies (ICT) for productive social purposes, access to ICT remains a major challenge in countries like Uganda, in which less than 1% of the population has access to the Internet. However, since the case studies address marginalised communities in Australia, Brazil, Greece and South Africa, the findings have relevance to Uganda and other developing countries. Five lessons, in particular, are important for curriculum planning and policy development in Uganda: the need to collect empirical data on ICT access and use; the importance of recognising local differences across rural and urban communities, male and female students; the need to promote professional development of teachers so that they can make effective use of ICT in classrooms; the importance of integrating in and out-of-school digital literacy practices; and the need to consider how global software can best be adapted for local use. We conclude that if ICT is to play its part in achieving Education for All by 2015, there is an urgent need for collaborative partnerships between a wide range of stakeholders at both the local and global level. Keywords: ICTdigital divideruralurbanaccess
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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 | 0.000 | 0.000 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it