Academic integrity and AI (what is cheating vs learning) in AI for Everyone - Hands-On Comparison

Understanding Academic Integrity and AI: What is Cheating vs Learning

📖 Scenario: You are a student learning how to use AI tools responsibly in your studies. You want to understand the difference between using AI to help you learn and using it in a way that breaks academic rules.

🎯 Goal: Build a simple guide that lists examples of actions that are considered cheating and actions that support learning when using AI tools.

📋 What You'll Learn

Create a dictionary called actions with examples of AI use and their descriptions

Create a list called cheating_examples with keys from the dictionary that represent cheating

Create a list called learning_examples with keys from the dictionary that represent learning

Add a final summary string called summary explaining the difference between cheating and learning with AI

💡 Why This Matters

🌍 Real World

Students and educators can use this knowledge to understand how to use AI tools responsibly and maintain academic honesty.

💼 Career

Understanding ethical AI use is important for students, teachers, and professionals to avoid plagiarism and promote genuine learning.

1

Create AI use examples dictionary

Create a dictionary called actions with these exact entries: 'copy_paste': 'Copying AI-generated text as your own work', 'ask_for_explanation': 'Using AI to explain difficult concepts', 'auto_complete': 'Letting AI finish your assignments without understanding', 'practice_questions': 'Using AI to generate practice questions for study'.

AI for Everyone

# Create the dictionary called actions with the given entries
# Your code here

Hint

Use curly braces to create a dictionary with the exact keys and values given.

2

Create lists for cheating and learning examples

Create a list called cheating_examples containing the keys 'copy_paste' and 'auto_complete'. Then create a list called learning_examples containing the keys 'ask_for_explanation' and 'practice_questions'.

AI for Everyone

actions = {
    'copy_paste': 'Copying AI-generated text as your own work',
    'ask_for_explanation': 'Using AI to explain difficult concepts',
    'auto_complete': 'Letting AI finish your assignments without understanding',
    'practice_questions': 'Using AI to generate practice questions for study'
}
# Create cheating_examples and learning_examples lists with the specified keys
# Your code here

Hint

Use square brackets to create lists with the exact keys as strings.

3

Link examples to descriptions

Create a new dictionary called cheating_descriptions that uses the keys from cheating_examples to get their descriptions from actions. Similarly, create a dictionary called learning_descriptions using learning_examples keys and actions values.

AI for Everyone

actions = {
    'copy_paste': 'Copying AI-generated text as your own work',
    'ask_for_explanation': 'Using AI to explain difficult concepts',
    'auto_complete': 'Letting AI finish your assignments without understanding',
    'practice_questions': 'Using AI to generate practice questions for study'
}

cheating_examples = ['copy_paste', 'auto_complete']
learning_examples = ['ask_for_explanation', 'practice_questions']

# Create cheating_descriptions and learning_descriptions dictionaries using comprehension
# Your code here

Hint

Use dictionary comprehension to create new dictionaries from the lists and the original dictionary.

4

Add final summary explanation

Create a string variable called summary with this exact text: 'Cheating with AI means using it to do your work without understanding, while learning means using AI to help you understand and practice.'

AI for Everyone

actions = {
    'copy_paste': 'Copying AI-generated text as your own work',
    'ask_for_explanation': 'Using AI to explain difficult concepts',
    'auto_complete': 'Letting AI finish your assignments without understanding',
    'practice_questions': 'Using AI to generate practice questions for study'
}

cheating_examples = ['copy_paste', 'auto_complete']
learning_examples = ['ask_for_explanation', 'practice_questions']

cheating_descriptions = {key: actions[key] for key in cheating_examples}
learning_descriptions = {key: actions[key] for key in learning_examples}

# Add the summary string variable
# Your code here

Hint

Assign the exact text to the variable summary using quotes.

Practice

1. What does academic integrity mainly mean?

easy

A. Ignoring rules when no one is watching

B. Doing your own work honestly without cheating

C. Copying answers from friends without understanding

D. Using AI to complete all assignments automatically

Solution

1. Step 1: Understand the meaning of academic integrity

   Academic integrity means being honest and doing your own work without cheating.

2. Step 2: Compare options with this meaning

   Only Doing your own work honestly without cheating matches this meaning exactly; others describe cheating or dishonesty.

3. Final Answer:

   Doing your own work honestly without cheating -> Option B

4. Quick Check:

   Academic integrity = honest work [OK]

Hint: Academic integrity means honest work, not copying [OK]

Common Mistakes:

• Thinking using AI automatically means cheating
• Believing copying from friends is honest
• Ignoring the importance of honesty

2. Which of the following is an example of using AI ethically in learning?

easy

A. Ignoring AI tools completely even when stuck

B. Copying AI-generated answers without understanding

C. Submitting AI's work as your own without changes

D. Using AI to get hints and then solving problems yourself

Solution

1. Step 1: Identify ethical AI use in learning

   Ethical use means using AI to help understand, not to cheat or copy blindly.

2. Step 2: Match options to ethical use

   Using AI to get hints and then solving problems yourself shows using AI for hints but doing your own work, which is ethical.

3. Final Answer:

   Using AI to get hints and then solving problems yourself -> Option D

4. Quick Check:

   Ethical AI use = help + own effort [OK]

Hint: Ethical AI use means learning, not copying [OK]

Common Mistakes:

• Thinking copying AI answers is ethical
• Believing ignoring AI is the only right way
• Confusing help with cheating

3. A student uses AI to generate an essay and then edits it to add their own ideas. What is the most accurate description of this action?

medium

A. Learning because the student added personal input

B. Neither cheating nor learning

C. Cheating because AI wrote the essay

D. Plagiarism because AI content is copied

Solution

1. Step 1: Analyze the student's use of AI

   The student uses AI as a tool but adds their own ideas, showing effort to understand and personalize.

2. Step 2: Determine if this is cheating or learning

   Since the student contributes original thoughts, this is considered learning, not cheating.

3. Final Answer:

   Learning because the student added personal input -> Option A

4. Quick Check:

   AI help + own ideas = learning [OK]

Hint: Adding your ideas to AI work means learning, not cheating [OK]

Common Mistakes:

• Assuming any AI use is cheating
• Confusing plagiarism with AI assistance
• Ignoring student's personal contribution

4. Identify the mistake in this scenario: A student submits an AI-generated report as their own without any changes or understanding.

medium

A. The student is cheating by submitting AI work as their own

B. The student is practicing academic integrity

C. The student is learning effectively using AI

D. The student is correctly citing AI as a source

Solution

1. Step 1: Examine the student's action

   Submitting AI-generated work without changes or understanding means passing off AI's work as their own.

2. Step 2: Determine if this is cheating or integrity

   This is cheating because the student did not do their own work or learn the material.

3. Final Answer:

   The student is cheating by submitting AI work as their own -> Option A

4. Quick Check:

   Submitting AI work unchanged = cheating [OK]

Hint: Submitting AI work unchanged is cheating, not learning [OK]

Common Mistakes:

• Thinking AI work is always allowed without changes
• Believing citing AI means no cheating
• Ignoring the need to understand submitted work

5. You want to use AI to help write a research paper but avoid cheating. Which approach best follows academic integrity?

hard

A. Copy AI-generated text directly without changes

B. Ask AI to write the entire paper and submit it as yours

C. Use AI to gather ideas, write your own text, and cite AI assistance

D. Ignore AI completely even if it could help your understanding

Solution

1. Step 1: Understand how to use AI ethically in research writing

   Ethical use involves using AI as a tool for ideas, writing your own text, and citing AI help.

2. Step 2: Evaluate each option against academic integrity

   Use AI to gather ideas, write your own text, and cite AI assistance follows these rules; others involve copying or ignoring helpful tools.

3. Final Answer:

   Use AI to gather ideas, write your own text, and cite AI assistance -> Option C

4. Quick Check:

   AI help + own writing + citation = integrity [OK]

Hint: Use AI for ideas, write yourself, and cite help [OK]

Common Mistakes:

• Copying AI text without citation
• Submitting AI work as fully your own
• Not citing AI assistance when used