Random sample model to verify 3G in on-campus classes

The model in a nutshell

In order to hold regular in-person teaching in the 2021/22 winter semester, we need to ensure that all participants are either vaccinated, recovered or have recently tested negative for the Covid-19 Coronavirus (3G rule). Under the relevant law, CoronaVO Studienbetrieb a random sample model may be used instead of comprehensive verification. The core elements of the model developed for the University of Tübingen are as follows:

  • In each course, 10% of the participants will be randomly selected by the instructors for a verification of their 3G status. The minimum number is 3 students.
  • In courses with over 100 participants that take place several times a week, a selection rate of 5% instead of 10% can be opted for in each individual session.
  • The procedure is explained by the teaching staff at the beginning of each course. Anonymity as well as the possible consequences of violating the rules are to be emphasized.
  • The selection of individuals is random (e.g. by googling for “random number generator”) and the verification is non-discriminatory.
  • The instructor determines the number of people present and verifies the number of students required for the sample to see if they are vaccinated, recovered, or have tested negative for Covid-19.
  • The instructor enters the anonymous results on the same day and for each course in which a random sample was selected (not required in case of comprehensive verification) into the web form eworkflow.uni-tuebingen.de/form/zdv_allgemein_3g and saves them. The following information is mandatory:
    • course title,
    • date of verification,
    • number of participants (N),
    • number of individuals checked (sample size n),
    • number of individuals who did not meet the 3G requirement,
    • number of individuals evading verification
  • Additional support staff or student assistants may be tasked with verification procedures; they are funded centrally.
  • If a checked individual is found to be lacking proof of 3G, they are to be excluded from the course. During the first four weeks of the lecture period, a security service will be present in the major lecture halls and buildings on the Morgenstelle campus as well as the Tal campus to support compliance with the 3G rule. If an individual who does not meet the 3G requirement refuses to leave the room, teaching staff are recommended to interrupt the course session and notify the police or cancel the session.

(as of Oct 18,2021)

A detailed description of the random sample model can be found in the University’s hygiene concept under "Random checks of ‘3G’ status of students for courses".