Teach subzone classification explicitly as a teachable, assessable cognitive skill in clinical curricula¶

Strategy · All strategies
Evidence · no claims cited

Description¶

The article recommends treating subzone classification as a teachable and assessable cognitive skill rather than policing AI use. It states: "A SCAN-informed curriculum treats subzone classification as a teachable and assessable cognitive skill." This requires explicit instruction on the four SCAN subzones, learner understanding that subzone assignment varies with progression from novice to expert, and formative feedback on classification accuracy to foster metacognitive ability.

Design Implications¶

Context¶

Requirements¶

• Explicit instruction on the four SCAN subzones so learners can apply the framework to tasks
• Learner understanding that subzone assignment varies with learner level

Constraints¶

• The article notes deskilling, mis-skilling, and never-skilling have not yet been widely incorporated into curricular design in clinical courses and training programs

Target Learners¶

• Medical students and residents

Target Learning Goals¶

• Accurate AI task classification
• Metacognitive development
• Clinical reasoning development

Affordances¶

• Scan Framework Four Subzones Task Allocation

Related Strategies¶

• Integrate AI into nursing curricula through AI-supported case discussions, structured clinical learning activities, and AI literacy training tailored to user groups
• Redesign assessment reflectively for possible AI use, using supervised tasks for lower-order skills and intentional AI use with reflection for higher-order work
• Provide explicit teaching of SRL methods as structured guidance for regulating learning in online and blended settings

Examples¶

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Key Sources¶

• Tsim, F., Gutoreva, A., Weiss, A., & Dubosh, N. (2026). AI as Teammate: Rethinking Task Distribution in Medical Training. Correspondence: [email protected]. https://arxiv.org/abs/2608.28373. doi:10.48550/arxiv.2608.28373