Analytics in Education

Analytics employs math, statistics, and technology to determine the patterns in data, allowing students to track their progress with coursework. There are different variations of collecting data analytics that: can be used as a tool.

Predictive data analytics:
This is the most popular version because they develop predictions of their future based on the data, identifying risks and opportunities

Prescriptive data analytics:
AI is used to determine what actions to take for projected outcomes.

Diagnostic data analytics:
Drill-down and data mining methodologies are: used to analyze data to understand the causes of events.

Descriptive data analytics:
This is the foundation for most databases because it covers specific data questions such as amount, date, or location.

This newfound knowledge provides a new perspective in education because, with analytics, teachers can improve students’ performance because they’re able to directly examine their weaknesses in greater depth without putting in too much effort.