Integration of Information and Communication Technologies in Teaching by Female Academic Teaching Staff in the Higher Education Sector in Mauritius
Bibliographic record
Abstract
Information and Communication Technologies (ICT) is increasingly being used to support the process of academic teaching in the higher education sector. However, it is imperative to understand the causes for minimal utilisation of ICT tools by female academic teaching staff in their teaching process, resulting in gender inequity in technology. The research examined the correlation between ICT integration in the teaching process by female academic teaching staff in the higher education sector in Mauritius and the factors that could improve such integration in line. Futures thinking methodology was used for this study to address policy, strategies and actions to support appropriate futures. It comprised an evaluation of the sources and causes of change to map a probable future and a preferable future. The future thinking methods included signalling, horizon scanning, future wheel analysis, alternate futures framework and determining scenarios. As a result of the research, recommendations were made to assist policy makers and decision makers to develop evidence based policies to address gender inequity in the use of technology in higher education.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".