Three mobility modes
Switch between fixed-2, fixed-1 and full mobility; class counts are suggested from the combination distribution.
Keyi suggests class counts from students' 3+1+2 subject combinations, supports fixed-2, fixed-1 and full-mobility modes, builds homeroom and teaching-group timetables, and works out how many rooms mobile classes need.
Import choices, count combinations
Fixed-two or full mobility, with class counts
No clashes for teachers, rooms or students
Cover, notifications, workload
Switch between fixed-2, fixed-1 and full mobility; class counts are suggested from the combination distribution.
Estimates mobile rooms per period and sections per subject, and compares walk groups by teachers needed at once, to catch bottlenecks early.
Sectioning results become homerooms and elective slots, optionally staggered by group, and solve together with all other rules.
We re-ran sectioning on the school's real choice sheet (89 students, 4 blocks): every student kept every choice; with the same 19 sections, physics went from 32/18/16 to 22/22/22 and the class-size standard deviation dropped from 6.0 to 2.3, in about 30 seconds.
Read the full case study →Concentrated combinations favour fixed-2; scattered ones favour full mobility. Keyi shows class and room needs for both on your data.
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