Code Defense Lab mark

Code Defense Lab

Statistics and Data Science Education | Due Apr 22 | R 4.3 | Modules: Hotspot, Trace, Mutation, Repair

Read this report as coaching: what held up, what weakened under pressure, and what to practice next.

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Technical Assessment Report

Analysis: Scatterplot Regression Defense

This report is designed as feedback, not just detection. It compares success on the original code with success on explanation, prediction, adaptation, and repair.

98%
Correctness
warning

System Diagnostic Message

Warning: Significant gap detected between code correctness and comprehension. Oral defense is strongly recommended.

Technical Breakdown

Confidence mismatch: Strong explanation vs Weak trace performance.

Consistency Integrity

CRITICAL DISPARITY

How to read this

High correctness with low trace, mutation, or repair usually means the final answer was present but the internal model was unstable. The score is meant to guide follow-up teaching or oral defense, not to accuse by itself.

Student Evidence

Response Snapshot

Saved across the assessment flow

Provenance

Written mostly by myself

AI Verification

No verification note saved yet.

Data & Statistical Reasoning

Not required for this assignment.

Hotspot Response

No hotspot response saved yet.

Trace Prediction

No trace response saved yet.

Mutation Plan

No mutation response saved yet.

Repair Explanation

No repair response saved yet.

Understanding Consistency Score

45% LOW

The current score indicates a mechanical proficiency that outweighs semantic understanding.

What Went Well

Your strongest evidence will appear here once the checkpoints are completed.

Needs Attention

The main gap in understanding will be summarized here.

Next Learning Step

A targeted next step will appear here after the assessment flow is completed.

Rubric Detail

Why this feedback was generated

Checkpoint by checkpoint

Hint Usage

No hints opened.

Process Portfolio

How your reasoning evolved across checkpoints