Tic ET Ducation en Afrique De L'ouest ET DU Centre: Défis, contraintes et perspectives d'une intégration amorcée
Bibliographic record
Abstract
This article intends to establish an overview of the situation of information and communication technology (ICT) integration in education in West and Central Africa through the analysis of documents produced by various institutions which include, among others, the Association for the Development of Education in Africa (ADEA), the World Bank, UNESCO and ERNWACA (Educational Research Network of West and Central Africa). The article focuses primarily on the ICT integration in the sub-Saharan African education analysing the survey led by ERNWACA in partnership with the University of Montreal on ‘ICT integration in education in West and Central Africa: a case study of pioneer schools’ (2005). The survey points out that the ICT can play a very significant role in the improvement of the quality of teaching in Africa, but that many actions must be taken in the field of teacher training and the integration of new technologies in teaching and learning.
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 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 | 0.009 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.012 | 0.031 |
| Scholarly communication | 0.015 | 0.010 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.005 | 0.007 |
| Insufficient payload (model declined to judge) | 0.004 | 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; 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".