Internationalization of Curriculum in Omani Higher Education: Perceptions of Academic Staff in UTAS
Bibliographic record
Abstract
The internationalization of the curriculum (IoC) has been a significant trend in higher education across the globe. However, there is a dearth of literature on this area of research in the Arab countries, including the Omani higher education context. As the key definition and conceptual frameworks of IoC have not been adopted in Omani higher education institutions (HEI), this qualitative study examined lecturers’ understanding of IoC in the Omani higher education context. This was carried out through the employment of the typology of IoC which was proposed by Edwards et al. (2003). To collect data, eight lecturers in an Omani university were interviewed and the thematic analysis of the data revealed that academic staff perceived IoC as important to the institution. Further, the study reported that there are fragmented IoC practices that are primarily based on the ad hoc practices of academic staff. Initiatives should be taken to develop a shared understanding of IoC at the institutional level and in all degree programs in the Omani higher education context. Some suggestions are brought forward for stakeholders to support IoC and help to ensure the quality of degree programs offered.
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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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".