Feature · Class Analytics

A map of learning outcomes and question quality on one screen

Every completed quiz automatically becomes a report: score distribution, easiest-to-hardest items, per-student attainment per competency, even comparisons across quizzes. This is the data that turns a quiz from a bare number into a learning decision.

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ailatih.id/app/analitik Latis AI

Sample finding

“67% of students got the direct proportion question wrong”

Full spec preserved
Key & explanation included
Automatic metadata (topic, level, phase)

One click: build an 8-item remedial practice set from that topic alone.

Auto answer key C1–C6 Class Analytics

3 levels

class · student · question item

Auto

report once the quiz closes

5 min

to ready-to-use remedial material

CSV

export for report cards & meetings

How it works

Four steps from zero to published

The same flow every time — so it becomes a habit, not a project.

01

The quiz runs as usual

No extra steps — analytics data is collected automatically as each student submits.

02

Read the class map

Score distributions and per-competency correct-answer percentages take shape the moment the quiz closes.

03

Dissect the items

Items with low correct-answer percentages point to misconceptions — their explanations are ready to double as remedial material.

04

Decide on the follow-up

Assemble remedial work for particular students, regenerate questions for weak competencies, or move on to new material.

Three levels

From class averages to concrete action

A class average alone is not enough to decide anything. AiLatih Analytics drills down to the level where you can actually act.

Class level

Score distribution, mastery per competency, and comparison across similar quizzes.

Student level

Scores per student per competency — who needs remedial work, and exactly where.

Item level

Correct-answer percentage and discrimination per item — which questions are too easy, too hard, or simply problematic.

Follow-up

Analytics that end in action

Every finding in analytics connects to an action in AiLatih — it does not stop at pretty charts.

Item-based remedial

Take the items that fell flat, regenerate variations of them, and give specific students remedial practice.

Automatic enrichment

High-scoring students can instantly receive an enrichment set from the question bank.

Meeting-ready reports

Export CSV for minimum-mastery (KKM) meetings, report cards, or supervision documents.

Q&A

Common questions about Class Analytics

Can analytics be used for day-to-day formative assessment?

That is where it shines most. Even a 5-question comprehension check yields mastery data — so the call to move on or reteach is grounded in data, not gut feeling.

Can the analytics data be exported?

Yes, in CSV format — tidy enough to attach to a supervision report or analyze further in Excel.

Can students see their own analytics?

You decide. For formative quizzes, showing results and explanations directly to students can be great feedback; for official assessments, keep them hidden.

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