Table 6

Joint display of integrated mixed-methods findings (survey, n = 120; interviews, n = 8)

DomainQuantitative resultQualitative resultRelationshipIntegrated inference
Perceived usefulness/efficiency100% 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 workConvergentUsefulness is real but graded by task, not global
Task-selective adoptionClear graded pattern across seven tasks, from universal agreement on efficiency to lower agreement on scholarly outputsInformants 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 researchConvergentAdoption is best described as task-selective rather than binary acceptance/rejection
Ethical ambivalence80.0% name a specific concern; 20.0% report noneInformants voice both acute concern and conditional acceptanceComplementaryEthical ambivalence is real but not universal; qualitative data explain the reasoning behind both the concerned majority and the more accepting minority
Institutional readiness/governance gap73.3% 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 rankInformants across public and private institutions reported unclear AI regulations and limited formal training opportunitiesConvergent for governance; complementary for trainingThe 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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