CS Board-Exam Master Labs

Automated Classroom Simulation

1. Explore the simulation

Simulating Node 1 / 9...
Assignment Goal
Q1. Append [Student, Collaborator, Interest, City] to 'data.csv'.
File Handling Audit: Append mode 'a', newline='', and csv.writer verification.
Celestial Pseudonym Nodes
Adaptive Syntax Hint
# Hint box ready...
Programming Sandbox
Milestone: Waiting for submission...
Geospatial Telemetry Matrix
Map empty. Awaiting student submissions...
StudentPeerCity LinkStatus
Class Analytics Observatory
Sample Simulation Data · Not a live feed
Total Submissions
0
Simulated audit submissions
First-Try Mastery
0%
Students validated on first try
Avg. Attempts to Mastery
0.0
Simulated runs per validated node
Concept Mastery Nodes
0 / 9
Sample nodes validated
Audit Error Categorization Breakdown
Logic Validated (Mastery)0 (0%)
Fail: Missing newline=''0 (0%)
Fail: Invalid Append mode ('a')0 (0%)
Fail: Missing import csv0 (0%)
Fail: Missing csv.writer0 (0%)
Student Iteration Heatmap (Attempts Bubble Chart)
Comet0 att Altair0 att Draco0 att Nova Phoenix0 att Meteor Eclipse0 att Rigel Capella0 att

All figures below are generated from the nine scripted demo scenarios. Debugging time is not measured, and these values are not classroom outcome evidence.

Sample Output Status & Student Interests (Simulation Log)
Student NodePeer CollaboratorInterest FieldLocation NodeFinal Milestone

2. How the original system works

How the original Master Labs system works

The original system brings together a Python-based student interface, Flask-powered milestone auditing, structured CSV records, and Tableau dashboards for classroom-level learning analysis.

SAMPLE SIMULATION
01Student UIProgramming tasks with pseudonymous identities
02Flask auditChecks predefined milestones and flags errors
03CSV record managementValidated learning records in a structured format
04Tableau analyticsVisualises submission patterns, common errors, and progress
Deployment

Runs on the school's local area network (LAN). No internet connection is required for classroom use.

Privacy & Safe Debugging

Uses pseudonymous student labels and checks predefined programming milestones without executing arbitrary student code.

System Integration

The original workflow connects the Python student interface, Flask-based milestone auditing, structured CSV records, and Tableau analytics. This browser simulation uses sample scenarios and does not connect to the live backend or dashboard.

3. Classroom outcome evidence

View the separate Tableau Public dashboard for classroom outcome evidence. The analytics above are sample simulation data and are not a live feed from this dashboard.

View Classroom Outcome Dashboard on Tableau Public ↗