> Source URL: /demos/cs1-path/feedback/ax7k-project-1.feedback-harness
---
student_id: ax7k
project_id: project-1
submission_date: 2025-10-03
reviewer: agent-assisted
---

# Feedback Harness: ax7k - Data Explorer

## Purpose

This feedback harness is a **reviewer artifact** that bundles all context needed for AI and human reviewers to evaluate student work. It contains:

- Student profile and persona information
- Project specification and rubric
- Student's submitted code as an artifact
- Commit history and development process
- Agent instructions for generating personalized feedback

**Note**: This harness is typically created via a custom GitHub Classroom integration (not provided in this example repository). The integration automatically bundles student submissions, commit history, and links to relevant curriculum materials.

## Student-Facing Feedback

The feedback generated in this harness is extracted and delivered to the student as a separate file:

**Student-facing feedback**: [ax7k-project-1.feedback.md](../students/ax7k-project-1.feedback.md)

The student-facing file contains only the feedback content without internal context (rubric scores, commit history, agent instructions, etc.).

## Student Profile

See: [Student ax7k Persona](../students/student-ax7k.persona.md)

Quick summary:

- Prior experience: None (first-time programmer)
- Strengths: Detail-oriented, persistent, asks good questions
- Growth areas: Math anxiety, needs concrete examples
- Major: Biology (pre-med) — interested in data analysis for research

## Project Specification

See: [Project 1: Data Explorer](../projects/project-1.spec.md)

Requirements summary:

- Calculate average temperature
- Find highest/lowest and which days
- Count hot (>75) and cool (<70) days
- Classify each day
- Print formatted report

## Rubric

See: [Project 1 Rubric](../projects/project-1.rubric.md)

| Criterion     | Points Possible | Score | Notes                                        |
| ------------- | --------------- | ----- | -------------------------------------------- |
| Correctness   | 40              | 35    | Minor issue with boundary condition          |
| Code Quality  | 30              | 25    | Good structure, variable names could improve |
| Output Format | 20              | 18    | Mostly correct, minor formatting             |
| Documentation | 10              | 7     | Has header, sparse inline comments           |
| Total         | 100             | 85    |                                              |

## Commit History

Recent commits from student's repository:

- `a3f7c21`: "finished project" (2025-10-03)
- `8b2e4f9`: "added summary section" (2025-10-02)
- `c91d5a3`: "working on loop" (2025-10-01)
- `5e6f8a2`: "started project 1" (2025-09-29)

## Code Snapshot

### weather_report.py

```python
# Project 1: Data Explorer
# Name: [ax7k]
# Date: October 3, 2025

# Weather data
temperatures = [72, 68, 75, 80, 77, 71, 69]
days = ["Monday", "Tuesday", "Wednesday", "Thursday", "Friday", "Saturday", "Sunday"]

# Variables for tracking
total = 0
highest = temperatures[0]
lowest = temperatures[0]
highest_day = days[0]
lowest_day = days[0]
hot_count = 0
cool_count = 0

print("=== Weekly Weather Report ===")
print()
print("Daily Breakdown:")

# Loop through each day
for i in range(len(days)):
    day = days[i]
    temp = temperatures[i]

    # Add to total for average
    total = total + temp

    # Check for highest
    if temp > highest:
        highest = temp
        highest_day = day

    # Check for lowest
    if temp < lowest:
        lowest = temp
        lowest_day = day

    # Classify the day
    if temp > 75:
        category = "Hot"
        hot_count = hot_count + 1
    elif temp >= 70:
        category = "Mild"
    else:
        category = "Cool"
        cool_count = cool_count + 1

    print(day + ": " + str(temp) + "°F (" + category + ")")

# Calculate average
avg = total / len(temperatures)

print()
print("Summary:")
print("- Average temperature:", round(avg, 1), "°F")
print("- Highest:", highest, "°F on", highest_day)
print("- Lowest:", lowest, "°F on", lowest_day)
print("- Hot days (>75°F):", hot_count)
print("- Cool days (<70°F):", cool_count)
```

## Agent Instructions

When generating feedback for this student:

1. Be encouraging: This is a first-time programmer who has made good progress
2. Connect to their interests: Biology/research applications when relevant
3. Be specific: Reference line numbers and exact code
4. Prioritize: Focus on 2-3 key improvements, not every issue
5. Acknowledge progress: Note the evolution from commits

### Key Issues to Address

1. Boundary condition: 75°F is classified as "Mild" but rubric says >75 is Hot, so 75 should be Mild. This is actually correct! But verify the boundary logic matches the spec.

2. Variable naming: `avg` and `total` are okay, but `temp` in a weather context is good. Consider if `i` could be more descriptive.

3. Comments: Has header but inline comments are minimal. Suggest adding comments for key logic sections.

4. String formatting: Using `+` for concatenation works but f-strings would be cleaner (if covered in class).

---

## Generated Feedback

**Note**: The feedback below is extracted and delivered to the student as `curriculum/students/ax7k-project-1.feedback.md`. The student-facing version omits internal context (rubric scores, commit history, agent instructions) and focuses solely on actionable feedback.

### Summary

Great work on Project 1! Your program correctly analyzes the weather data and produces a clear, readable report. You've demonstrated solid understanding of loops, conditionals, and accumulator patterns. The code is well-organized and your logic for finding highs/lows is exactly right. Score: 85/100

### What Works Well

- Correct logic for tracking highest/lowest: Your approach of initializing with the first value and updating as you find larger/smaller values is the standard pattern—well done!
- Clean loop structure: The single loop that handles all the calculations is efficient
- Good output formatting: Your report is easy to read and includes all required information
- Steady progress: Your commit history shows good incremental development—this is how real programmers work!

### Key Improvements

#### 1. Add More Inline Comments

Location: Throughout, but especially lines 23-45

Your header comment is good, but adding a few more comments would help readers (and future you!) understand the code faster.

Current code:

```python
for i in range(len(days)):
    day = days[i]
    temp = temperatures[i]
```

Suggestion:

```python
# Process each day's data
for i in range(len(days)):
    day = days[i]
    temp = temperatures[i]
```

Why: In research settings, you'll often revisit code months later. Comments are your future self's best friend.

#### 2. Consider More Descriptive Loop Variable

Location: Line 23

Current code:

```python
for i in range(len(days)):
```

Suggestion:

```python
for day_index in range(len(days)):
```

Why: While `i` is a common convention, `day_index` makes it immediately clear what the variable represents. This matters more as programs get larger.

#### 3. String Formatting Enhancement (Optional)

Location: Line 47

Current code:

```python
print(day + ": " + str(temp) + "°F (" + category + ")")
```

Alternative approach (if you've seen f-strings):

```python
print(f"{day}: {temp}°F ({category})")
```

Why: F-strings are more readable and you don't need to manually convert numbers to strings. This is a style improvement, not a correctness issue.

### Next Steps

1. Add 2-3 inline comments explaining your key logic sections (the highest/lowest tracking and classification)
2. Keep building on this foundation—your loop skills will be essential for Project 2
3. Consider: How might you modify this to analyze a longer dataset? (Hint: your code would work without changes!)

### Connection to Your Goals

This kind of data analysis is exactly what you'd do in computational biology—processing lists of measurements and finding patterns. Nice work building these foundational skills!


---

## Backlinks

The following sources link to this document:

- [ax7k Project 1 Harness](/demos/cs1-path/index.path.llm.md)