Understanding what drives student learning

Instructors and instructional designers often struggle to understand how students interact with course materials. Participation, assignment completion, forum discussions, and assessment results live in multiple systems — LMS platforms, grading databases, and collaboration tools.

Without reliable pipelines, analyzing engagement requires manual exports and spreadsheets, often leading to inconsistent conclusions. Decisions about course content, intervention, and curriculum adjustments are delayed or imprecise.

Mage enables institutions to unify engagement and performance data into consistent workflows, powering dashboards and analytics that help educators spot patterns, understand behaviors, and improve learning outcomes.

What this enables

• Monitor course participation trends

• Identify students who may need additional support

• Analyze content effectiveness and engagement patterns

• Feed data to learning analytics and adaptive learning systems

How a workflow runs

1. Ingest LMS, assessment, and interaction data

2. Normalize timestamps, student identifiers, and activity types

3. Calculate engagement metrics and completion rates

4. Deliver dashboards and datasets to instructors and analysts

5. Monitor pipelines for reliability and completeness

Key outcomes

✔ faster understanding of student learning patterns
✔ proactive content adjustments
✔ improved ability to support at-risk students
✔ consistent engagement insights across courses