The rapid proliferation of Generative AI (GenAI) has profoundly disrupted higher education. With vast student adoption, traditional scientific training—heavily reliant on written assignments—faces invalidated assessments, challenged learning objectives, and the erosion of critical thinking. Furthermore, the 2020 Dutch National Blueprint for Medical Education predates this GenAI breakthrough, leaving educators without national guidance, while frameworks like the EU AI Act mandate adequate "GenAI literacy" training.
To establish actionable consensus, we conducted a Delphi study across all eight Dutch University Medical Centers involving curriculum coordinators, researchers, and assessment specialists. Through iterative surveys and meetings (>75% agreement threshold), the panel evaluated 32 scientific learning and 11 GenAI literacy goals. We investigated which objectives require GenAI-free versus GenAI-integrated approaches, optimal timing for integration, and prerequisite literacy skills.
Findings revealed a pedagogical bifurcation. Experts agreed foundational skills, such as adopting an academic attitude and conducting experiments, must be developed predominantly without GenAI. Conversely, scientific communication tasks (e.g., text structuring) can integrate GenAI earlier, provided students first demonstrate unmediated competence. To facilitate this, the panel validated 10 prerequisite GenAI literacy goals.
Consequently, we propose two operational approaches:
Approach 1: GenAI-Free Zones. Building cognitive foundations through synchronous, highly valid assessments and assignments, such as 15-minute oral defenses ("learned conversations"), invigilated micro-writing classes, and programmatic evaluations.
Approach 2: GenAI-Integrated Learning. Preparing for the workplace by evaluating both the final written product and the human-AI collaboration process.
By structuring curricula through these approaches, educators can protect critical reasoning while equipping professionals with digital competencies. Attendees will leave equipped with:
An evidence-based mapping of scientific learning goals to pedagogical stages.
A consensus-backed set of 10 GenAI literacy goals.
A methodological blueprint for establishing internal consensus across diverse educational programs.