Teaching

Lectures, MCQs and exams

The chain of lecture, MCQs, exam-question review (docimology), exam and marking board, driven by D-30 and D-15 deadlines rather than by urgency.

Fellow (CCA, AHU)Associate prof. (MCU-PH)Full prof. (PU-PH)Claude ProjectScheduled taskWordAnnual cycle

The teaching bank: index of documents and questions, filterable.Animation of a real tool · fictitious data

The problem

Requests from the medical faculty arrive by email, with short deadlines: lecture slides, ten MCQs, an ECOS (OSCE) station, a docimology (exam-question review) file, a marking board. They often land at the same time as a conference.

Six-step teaching chain

Figure. The teaching chain and its two forward-planning rules.

Step-by-step method

  1. Map the annual cycle: which courses, on which dates, which assessments. A table is enough.

  2. Set forward-planning rules: slides and MCQs ready at D-30, docimology files at D-15.

  3. Have the faculty’s requests picked out of your emails by keyword (MCQ, ECOS, docimology, marking board), then add them to the forward-planning table.

  4. Produce the MCQs from your slides: Claude proposes questions aligned with the learning objectives and the platform’s format, with the rationale for each answer; you review them.

  5. Build an ECOS station: scenario, instructions to the candidate, marking grid, standardised-patient script.

  6. Keep a table of delegated tasks (chefs de clinique, clinical fellows) with a named lead for each task.

  7. Prepare lead-teacher meetings and keep the list of leads still to be appointed (docimology, tutoring); dates proposed by the faculty go into your calendar only after your approval.

  8. Update older slides before each lecture, based on the most recent guidelines; the previous version is kept.

Deliverable

An annual calendar, reviewed slides and MCQ banks, ready-to-use ECOS stations, with no last-minute rush.

Safeguards

Exam papers are confidential: upload them only to a space whose access you control, and follow your faculty’s rules on AI tools.

Starter prompt

Here are my lecture slides on [topic]. Propose 10 MCQs with 5 options each, aligned with the course objectives, giving for each option the rationale and the source slide. Flag any concepts in the course that are not covered.

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