Learner's Progress Monitoring Tool for AWS re/Start Program

Summary

a web-based application to automate learner progress monitoring for the AWS re/Start program by processing Canvas LMS gradebooks at scale. The tool transforms high-dimensional assessment data into clear, actionable summaries for program teams.

Problem

Canvas gradebook exports contain 170+ columns per cohort and must be reviewed across multiple cohorts each batch. While comprehensive, this structure makes consistent progress tracking time-consuming as programs scale.

Solution

A web application that:

Supports multi-file gradebook uploads
Automatically aggregates Knowledge Checks and Labs
Evaluates completion and minimum score thresholds
Produces downloadable, structured outputs

Impact

Used across 3 AWS re/Start batches
Supports 50+ cohorts in Indonesia and India
Significantly reduced manual data processing time
Enabled faster learner intervention and consistent monitoring

Tech Stack

Python
Pandas
Streamlit
Deployed on PythonAnywhere

Extras

Learner progress leaderboard using Google Sheets
Encourages self-monitoring and healthy competition

If you interested on how I created it, you can refer to this article

Creating Learners Progress Monitoring for AWS re/Start Using Canvas Gradebooks