Integrate AI into nursing curricula through AI-supported case discussions, structured clinical learning activities, and AI literacy training tailored to user groups¶

Strategy · All strategies
Evidence · 1 claim (1 for) · 1 study (1 associational), q3 · 0 of 1 report an effect size · 1 claim rests on one study

Description¶

The article recommends that nursing curricula address specific educational needs rather than general technology use. Because students mainly used AI for clinical case analysis, care planning and presentations, the authors state nursing curricula "should specifically include: (1) AI-supported case discussions and (2) structured, evidence-based clinical learning activities". Educational programs should also teach effective prompt construction, verification of AI-generated outputs, and identification of inaccurate information, with training tailored separately to students and faculty.

Design Implications¶

Context¶

Requirements¶

• Structured AI literacy programs covering prompt construction and output verification
• Clear ethical guidelines and institutional governance policies

Constraints¶

• Faculty participants cautioned that adding a single elective course alone would not be sufficient; continuous assignments and activities are needed

Target Learners¶

• nursing students
• nursing faculty

Target Learning Goals¶

• critical evaluation of AI in clinical settings
• responsible and effective AI use

Claims¶

• Cluster analysis of instructors identifies three user groups that differ in several AI literacy dimensions, with the ethics scale providing a clear distinction [+W]

Related Strategies¶

• Integrate AI literacy education as an integral component of first-year curriculum development rather than an add-on
• Invest in sustained, role-specific, discipline-specific professional learning and structured student AI literacy pathways across PK16
• Embed AI literacy across disciplines by identifying intersections with existing content and using case studies, interdisciplinary modules, and collaborative projects
• Teach subzone classification explicitly as a teachable, assessable cognitive skill in clinical curricula
• 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

Examples¶

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Key Sources¶

• Arzu Akbaba, Afra Calik Kus. (2026). Nursing students’ and faculty experiences with artificial intelligence in education: a qualitative study using the technology acceptance model. BMC Nursing. https://doi.org/10.1186/s12912-026-04986-1