# What is learning analytics?

> Learning analytics uses data on how students learn (results, attendance, activity) to spot who needs help and improve teaching. Here's how to use it well.

Learn · Glossary

Learning analytics is the use of data about learners (results, attendance, activity and progress) to understand how they're doing, spot who needs help early, and improve teaching.

- Page: https://sparkmentis.ai/learn/learning-analytics

## Good uses

- Early warnings for students who are slipping
- Seeing which topics a class found hard
- Comparing progress across classes or cohorts
- Showing leaders what's working

## Use it carefully

Analytics should lead to a conversation, not a label. Show the reasons behind a flag, and let teachers decide what to do.

## Questions

**Is it the same as a report card?**

No. A report card is a summary; analytics is ongoing and used to act.

**Who should see it?**

Teachers and leaders, each for the students they're responsible for.

## Related

- [SparK-12: Results and insights](https://app.sparkmentis.ai/features/results-insights): Who's slipping, before it's a report card
- [Training analytics](https://sparkmentis.ai/features/training-program-analytics.md): Spark-VT
- [AI adoption dashboard](https://sparkmentis.ai/features/ai-adoption-dashboard.md): SparkLab

## Book a demo

Email info@sparkmentis.ai (subject "SparkMentis demo request") with your organization, your role and the products you're interested in.