Onboarding

I predict few learners, max 5 in total, with most arriving before 9:30. I predict 1 teacher is enough. Let's see...

t	n	Events
8:52	1	A joined, no talk
8:53	0	A left
9:54	0	.
9:02	0	.
9:03	1	B joined, talk with B
9:04	2	C joined
9:05	1	B left to work in silence and will come back with questions
9:06	1	C in breakout room with BC
9:07	1	.
9:14	1	.
9:15	1	B back for a question
9:16	1	C done and left
9:17	1	B leaves room to work in silence
9:18	0	.
9:21	0	.
9:22	1	D comes in, leaves
9:23	0	.
9:39	0	.
9:40	1	E joins, technical problems to get to talk
9:45	0	E was already good to go and leaves
9:46	0	.
9:59	0	.
10:00	0	.

• Names of learners are pseudonimized to A, B, C, etc.
• Names of teachers are the standard abbreviations: BC, LE, RB
• t: time
• n: number of learners
• max amount of learners: 2
• amount of teachers that would have sufficed: 1
• Use r as number of registrations where R is 20
• Prediction that would be correct:
  • Amount of learners to expect: r / 5
  • Amount of learners to have questions: r / 10
  • Amount of learners to pop in and out: r / 10
  • Amount of learners expected after 9:30: r / 20
  • Amount of teachers needed: r / 20

There were multiple learners that did not understand what was expected of them.

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