Socio-demographic Factors Predicting Botho/Ubuntu in Online Education at an Open University Context
Bibliographic record
Abstract
In this study, we investigated the impact of socio-demographic factors on the manifestation of Botho/Ubuntu philosophy in online education. We used Albert Bandura's Social Cognitive Theory to understand how Botho influences stakeholders' attitudes and actions. We employed a quantitative approach with a cross-sectional design and gathered data through a survey. The respondents in the study included staff, tutors, and students associated with an open university. We conveniently selected a sample of 263 respondents from the open university’s five regional campuses and headquarters. The findings indicated that age, marital status, and tenure with the university significantly influenced stakeholders' perceptions of Botho principles in online teaching and learning. This study highlights the importance of incorporating Botho/Ubuntu principles in online education to establish inclusive and supportive virtual learning environments. Educators can use these findings to foster student engagement and success. However, further research is necessary to comprehensively understand the effect of Botho/Ubuntu principles on student outcomes and explore stakeholders' perspectives on their effectiveness.
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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 | 0.000 | 0.001 |
| 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 | 0.001 |
| Open science | 0.001 | 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 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".