Turning Old Teaching Materials into a Digital Question Bank

A teacher with 10 years of experience is usually sitting on 500–2,000 question items: scattered across old quiz Word files, handouts, slides, and a folder named “ARCHIVE — DO NOT DELETE”. The problem is not the quantity — it is that none of it can be reused quickly. This article maps out a realistic migration path.

Stage 1: A quick inventory (30 minutes)

Make a list of the files: subject, education level, year, and type (quiz/practice/tryout). Don’t read the contents yet — it is enough to know what exists and where. The result of this stage is your map of the mine, and it is usually enough to tell which collections are the most valuable.

Stage 2: Extraction with AI assistance

This is where manual work meets machine intelligence. Paste the text of an old document into the Material to Questions feature — the AI will extract the items already in the document, attach metadata to them (topic, level, key), and flag the ones that need polishing. You don’t retype anything; you verify.

Stage 3: Standardize the metadata

• One topic convention: “Linear Equations” and “equations of a line” will become two different topics in the system.
• Consistent level/phase labels — use curriculum phases, not a mixture of terms.
• Mark the status: “ready to use” vs. “needs revision” items, so the collection never deceives you.

Stage 4: Patching the gaps

After the migration, you will start to see patterns: topic X has 40 items but all of them C1–C2, while topic Y has only 5. This is where the AiLatih generator fills the gaps precisely: “generate 10 C4 items for topic X, Phase E” — the hole is closed in one sitting.

Stage 5: A culture of use

A question bank only lives if it is used and added to. Two small habits: every time you finish teaching a chapter, add 5 items; every time a quiz is over, flag the problematic items for revision. Six months later, you will have a collection tidier than any publisher’s — because it grew precisely out of your own classroom.