Fuzzy AHP results
| Indicator | Local weights | CR | Sub-indicators | Local weights* | Global weights** | Rank |
|---|---|---|---|---|---|---|
| Syllabus design | 0.256 | 0.0172 | Course material | 0.346 | 0.0886 | 4 |
| Learning strategies | 0.350 | 0.0894 | 3 | |||
| Learning assessment | 0.304 | 0.0778 | 8 | |||
| Students’ characteristics | 0.239 | 0.0345 | Students’ “English” level | 0.386 | 0.0923 | 2 |
| Students’ shipping knowledge | 0.282 | 0.0675 | 9 | |||
| Learning habits | 0.331 | 0.0792 | 7 | |||
| Teachers’ characteristics | 0.262 | 0.0005 | Teachers’ “English” level | 0.374 | 0.0979 | 1 |
| Teachers’ shipping knowledge | 0.305 | 0.0799 | 6 | |||
| Teachers’ past experience with EMI teaching | 0.320 | 0.0838 | 5 | |||
| University resources | 0.244 | 0.0080 | Classroom facilities | 0.266 | 0.0647 | 11 |
| Availability of assistance | 0.347 | 0.0576 | 12 | |||
| Incentives for teachers | 0.270 | 0.0657 | 10 | |||
| Incentives for students | 0.228 | 0.0555 | 13 |
| Indicator | Local weights | CR | Sub-indicators | Local weights* | Global weights** | Rank |
|---|---|---|---|---|---|---|
| Syllabus design | 0.256 | 0.0172 | Course material | 0.346 | 0.0886 | 4 |
| Learning strategies | 0.350 | 0.0894 | 3 | |||
| Learning assessment | 0.304 | 0.0778 | 8 | |||
| Students’ characteristics | 0.239 | 0.0345 | Students’ “English” level | 0.386 | 0.0923 | 2 |
| Students’ shipping knowledge | 0.282 | 0.0675 | 9 | |||
| Learning habits | 0.331 | 0.0792 | 7 | |||
| Teachers’ characteristics | 0.262 | 0.0005 | Teachers’ “English” level | 0.374 | 0.0979 | 1 |
| Teachers’ shipping knowledge | 0.305 | 0.0799 | 6 | |||
| Teachers’ past experience with EMI teaching | 0.320 | 0.0838 | 5 | |||
| University resources | 0.244 | 0.0080 | Classroom facilities | 0.266 | 0.0647 | 11 |
| Availability of assistance | 0.347 | 0.0576 | 12 | |||
| Incentives for teachers | 0.270 | 0.0657 | 10 | |||
| Incentives for students | 0.228 | 0.0555 | 13 |
Notes:
*Local weight is derived from judgement with respect to a single indicator; **Global weight is derived from multiplication by the weight of the indicator