Teachers

Data That Directs Teaching

Dashboards surface weak concepts instantly

Dashboards and heatmaps flag weak concepts and engagement dips instantly, while auto-graded quizzes and ready-made remediation sets cut manual effort drastically.

Problem Statement

Teachers waste hours grading, tracking progress manually, and identifying weak concepts only after poor results. Insight arrives too late.

Teacher reviewing LearnX analytics dashboard

Solution

LearnX surfaces weak concepts, engagement drops, and mastery gaps instantly through dashboards and heatmaps. Auto-graded quizzes and ready-made remediation sets cut down manual effort drastically.

Project Duration

6-8 months (Analytics + grading automation + teacher dashboards)

Tools & Tech-Stack

Analytics Engine:

Python logo
Pandas
Metabase

Auto-Grading:

Rule-based
ML-assisted

UI:

React Native logo
React Admin

Realtime Data:

WebSockets
SSE

Process

01
Class & student data ingestion Rosters + LMS sync
02
Concept tagging + mastery calculation Weak topics flagged
03
Auto-grading pipeline execution Scores + feedback returned
04
Dashboards visualize strengths/weaknesses Heatmaps by class/individual
05
Teacher assigns remediation sets Tracked automatically