Integrate AI literacy into health sciences curricula and tailor career counselling to programme type¶

Strategy · All strategies
Evidence · 2 claims (2 for) · 2 studies (1 review, 1 associational), q2 · 1 of 2 report an effect size · 2 claims rest on one study

Description¶

The article recommends that universities address AI anxiety as a risk factor in career transition by integrating "artificial intelligence literacy into the health sciences curriculum at an institutional level" so AI is positioned as a complementary resource rather than a substitute. For application-oriented programmes (e.g. medical documentation, health management), curricula should build skills for working with AI-supported systems and monitoring outputs; for human-interaction-centred fields (physical therapy, nursing, midwifery), AI education should emphasise clinical decision support, ethics, empathy and digital leadership rather than technical proficiency. Career centres should reframe AI and the labour market in terms of new job definitions and adaptation strategies.

Design Implications¶

Context¶

Requirements¶

• Programme-specific tailoring: interventions should be tailored to specific programmes, occupational groups and socioeconomic contexts rather than general awareness campaigns

Constraints¶

• The article notes the mechanisms (perceived AI literacy, employability resources) were not directly measured, so the intervention rationale is partly theoretical

Target Learners¶

• University health sciences students, including low-income students with limited access to reskilling opportunities

Target Learning Goals¶

• AI literacy, digital leadership, and adaptive career-readiness skills

Affordances¶

• Stress Coping Ai Anxiety Appraisal Framework

Claims¶

• AI literacy and formal AI training remain low among nursing and health-professions students, though attitudes are largely positive [+W]
• AI anxiety is moderately and positively correlated with university students' job finding anxiety [+W]

Related Strategies¶

• Integrate career adaptability cultivation and AI literacy with career planning in higher education curricula
• Differentiated interventions integrating AI literacy training, psychological capital cultivation, and professional identity reinforcement
• Combine accurate AI labor-market information, employability-building activities, and growth-oriented career support for students facing AI employment threat
• Fund AI literacy initiatives integrating AI ethics into curricula and adapting assessments
• Embed GenAI literacy and ethical use directly in nursing curricula rather than prohibiting it
• Incorporate AI literacy into educational-leadership preparation curricula
• Integrate AI literacy, digital skill development, and technology-focused career planning into coursework, with targeted support for higher-anxiety groups
• Integrate AI task literacy into CTE curricula now, ahead of employer adoption

Examples¶

-

Key Sources¶

• Dağ, E., Nal, M., Topuz, İ., Kılınç, H., Demir, Y. & Bektaş, G. (2026). Artificial intelligence perceptions and career anxiety among health sciences students. Scientific Reports. https://doi.org/10.1038/s41598-026-42030-z