Joint display of integrated mixed-methods findings (survey, n = 120; interviews, n = 8)
| Domain | Quantitative result | Qualitative result | Relationship | Integrated inference |
|---|---|---|---|---|
| Perceived usefulness/efficiency | 100% agreement on efficiency (M = 4.47); declining agreement across the other six academic tasks (46.7–56.7%) | Informants describe AI as valuable for preparatory, administrative and idea-generation work | Convergent | Usefulness is real but graded by task, not global |
| Task-selective adoption | Clear graded pattern across seven tasks, from universal agreement on efficiency to lower agreement on scholarly outputs | Informants explicitly distinguished readily acceptable uses, such as presentations and reference searching, from higher-stakes uses requiring strong verification and human control, such as journal articles and research | Convergent | Adoption is best described as task-selective rather than binary acceptance/rejection |
| Ethical ambivalence | 80.0% name a specific concern; 20.0% report none | Informants voice both acute concern and conditional acceptance | Complementary | Ethical ambivalence is real but not universal; qualitative data explain the reasoning behind both the concerned majority and the more accepting minority |
| Institutional readiness/governance gap | 73.3% agreed that institutional regulation was needed, with no significant differences by age, academic rank, or institution type; training needs differed significantly by age and academic rank | Informants across public and private institutions reported unclear AI regulations and limited formal training opportunities | Convergent for governance; complementary for training | The need for institutional regulation is broadly shared, while the intensity of formal training support required varies by age and academic rank |
| Domain | Quantitative result | Qualitative result | Relationship | Integrated inference |
|---|---|---|---|---|
| Perceived usefulness/efficiency | 100% agreement on efficiency ( | Informants describe AI as valuable for preparatory, administrative and idea-generation work | Convergent | Usefulness is real but graded by task, not global |
| Task-selective adoption | Clear graded pattern across seven tasks, from universal agreement on efficiency to lower agreement on scholarly outputs | Informants explicitly distinguished readily acceptable uses, such as presentations and reference searching, from higher-stakes uses requiring strong verification and human control, such as journal articles and research | Convergent | Adoption is best described as task-selective rather than binary acceptance/rejection |
| Ethical ambivalence | 80.0% name a specific concern; 20.0% report none | Informants voice both acute concern and conditional acceptance | Complementary | Ethical ambivalence is real but not universal; qualitative data explain the reasoning behind both the concerned majority and the more accepting minority |
| Institutional readiness/governance gap | 73.3% agreed that institutional regulation was needed, with no significant differences by age, academic rank, or institution type; training needs differed significantly by age and academic rank | Informants across public and private institutions reported unclear AI regulations and limited formal training opportunities | Convergent for governance; complementary for training | The need for institutional regulation is broadly shared, while the intensity of formal training support required varies by age and academic rank |
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