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From School Data to a Timetable: Import, Check, Generate

Skoolia
Conceptual illustration of a school connected to lesson planners and timetable blocks

A timetable begins long before the first lesson appears in a grid. It begins with knowing which classes need which subjects, who can teach them and which rooms are available. When those inputs disagree, a polished-looking schedule can still be impossible to run.

Skoolia’s import, check and generate workflow makes that preparation visible. The short walkthrough below is a useful starting point for a coordinator planning a first timetable or preparing a new term. Watch the sequence, then work through the questions in this guide with your academic team.

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AI School Timetable Software: Import, Check & Generate with Skoolia — watch on YouTube

Start with the teaching requirement

Choose one academic period and agree the teaching requirement for each class. Record the subject, the number of lessons needed and any lesson pattern that matters. A science double period is a different requirement from two lessons that can occur on separate days.

Use consistent names before importing. If a teacher appears under two spellings, or the same class has different labels in different files, resolve that ambiguity at the source. Keep an approved copy of the input file so later changes have a clear reference.

Separate availability from preference

A teacher who does not work on Tuesday has a hard availability limit. A teacher who prefers a later start has a preference. Treating both as equally mandatory can make an otherwise feasible school week much harder to schedule.

  • Confirm the school week, period lengths and breaks.
  • Record teacher availability and subject assignments.
  • Check lesson totals for every class.
  • Identify specialist rooms and genuine room limitations.
  • Agree which requests are mandatory and which can be traded off.

Use the check before generating

Review the inputs before asking the system to build a schedule. Missing assignments and inconsistent totals are easier to correct here than after staff have begun discussing a draft. If a check identifies an issue, establish whether it is a data mistake or a real capacity problem.

Skoolia’s timetable generation uses a scheduling engine to work with the supplied constraints. A generated result still needs school review: valid inputs and a feasible set of requirements matter, and a coordinator remains responsible for deciding whether the result suits the school day.

Review the result from three perspectives

Inspect a class view for subject distribution, a teacher view for availability and workload, and a room view for practical use. These views answer different questions. A class timetable may look balanced while a specialist teacher’s day contains awkward gaps.

Make one controlled revision at a time, then review its effect. Before staff rely on the timetable, name the approved version and agree how subsequent change requests will be handled. This keeps the scheduling conversation tied to one shared result.

Try it with a small, realistic dataset

For a first evaluation, use fictional classes that reflect your school’s real constraints. Include a part-time teacher, a specialist room and a double period. That gives your team a more informative demonstration than an artificially simple week.

Explore Skoolia’s timetable generator and bring your input checklist to the walkthrough.

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