What Is Learning Analytics and How Does It Help Schools Teach More Effectively?

Imagine two different classrooms.

In the first one, a teacher sees only a student’s final grade — for example, 7 out of 12.

In the second, the teacher sees much more:

• which topics the student finds most challenging;
• how much time they spend completing tasks;
• where they repeatedly make the same mistakes;
• when their motivation begins to decline.

This is Learning Analytics.

Simply put, it is a system that collects data about students’ learning and transforms it into meaningful insights for teachers, school leaders, and students themselves. Instead of relying on assumptions, schools can make decisions based on real evidence.

That is why organizations such as OECD and UNESCO consider educational data one of the key resources of modern education.

Why Has Learning Analytics Become a Global Trend?

Today’s schools generate an enormous amount of information. Every completed assignment, quiz, or homework task leaves a digital footprint. In the past, this data was simply stored.

Today, it helps schools:

• identify learning difficulties earlier;
• personalize instruction;
• make informed, data-driven decisions.

Recent studies show that Learning Analytics is increasingly being adopted worldwide to support personalized learning and assist teachers in improving student outcomes. At the same time, its successful implementation depends on thoughtful integration and proper teacher training.

How Does It Work in Practice?

Imagine a classroom with 30 students.

After completing a unit on fractions, a teacher can see which students received low scores.

However, traditional assessment does not reveal:

• which specific concept the student did not understand;
• how many attempts they made before finding the correct answer;
• whether the difficulty comes from the current topic or from gaps in previous knowledge.

Learning Analytics provides these insights automatically.

What Does a School Gain?

For Teachers

• A clear view of every student’s progress.
• Faster identification of learning gaps.
• Less time spent on routine assessment and grading.

For Students

• A personalized learning pathway.
• Timely support based on their individual needs.

For School Leaders

Access to performance data across:

• classes;
• grade levels;
• teachers;
• individual topics.

This enables school leaders to make educational decisions based on data rather than intuition.

How Is Learning Analytics Implemented in GIOS?

At GIOS, Learning Analytics is not just a concept—it is an everyday teaching tool.

Schools using GIOS receive real-time insights into:

• class performance;
• individual student progress;
• topics that require additional practice;
• student engagement;
• learning time;
• assessment results.

As a result, teachers spend less time analyzing data manually and more time supporting their students.

What Do the Results Show?

According to GIOS data, students using the platform improve their academic performance by an average of 43%, thanks to personalized learning, continuous feedback, and Learning Analytics.

Today, GIOS is used by:

• 180,000+ students
• 1,000+ teachers
• 200+ schools

The platform also includes more than 12,000 interactive learning activities, creating a rich dataset that enables meaningful educational analytics and continuous improvement.

Conclusion

Education is gradually moving away from the one-size-fits-all approach.

Instead, schools are embracing learning models that recognize the individual progress, pace, and needs of every student.

Learning Analytics is one of the key technologies driving this transformation. It helps teachers teach more effectively, supports students in reaching their potential, and enables school leaders to make better decisions based on evidence rather than assumptions.