Academic integrity and AI (what is cheating vs learning) in AI for Everyone - Key Differences Explained

Introduction

Students often face challenges when using AI tools for their studies. The problem is knowing when using AI helps learning and when it crosses into cheating.

Explanation

Using AI to Learn

AI can help students understand difficult topics by providing explanations, examples, and practice questions. When students use AI to explore ideas and improve their skills, it supports genuine learning.

AI is a helpful tool when it guides and supports your own learning process.

Cheating with AI

Cheating happens when students use AI to complete assignments or exams without doing their own work. This includes copying AI-generated answers without understanding or crediting the source.

Using AI to produce work that you submit as your own without effort or acknowledgment is cheating.

Understanding Boundaries

Knowing the difference between learning and cheating with AI depends on how you use it. If AI helps you think and create your own ideas, it is learning. If it replaces your effort, it is cheating.

The key is whether AI supports your thinking or replaces it.

Academic Integrity Principles

Academic integrity means being honest and responsible in your studies. It requires doing your own work, giving credit when using others' ideas, and following rules about AI use.

Integrity means respecting rules and being honest about your work.

Real World Analogy

Imagine you are learning to cook. Using a recipe book to understand how to make a dish is like using AI to learn. But if you copy someone else's cooked meal and say you made it, that is like cheating.

Using AI to Learn → Using a recipe book to learn how to cook a new dish

Cheating with AI → Copying a cooked meal and claiming you made it yourself

Understanding Boundaries → Knowing when to follow the recipe and when to copy someone else's cooking

Academic Integrity Principles → Being honest about your cooking skills and giving credit for recipes

Diagram

Diagram

┌─────────────────────────────┐
│     Academic Integrity      │
├─────────────┬───────────────┤
│ Using AI to │ Cheating with │
│   Learn    │      AI       │
│ (Supports  │ (Replaces     │
│  thinking) │  effort)      │
└─────────────┴───────────────┘
          ↑               ↑
          │               │
          └─────Understanding─────┘
                Boundaries

Diagram showing academic integrity split between using AI to learn and cheating with AI, connected by understanding boundaries.

Key Facts

Academic Integrity → Honesty and responsibility in completing academic work.

Cheating → Using AI or other means to submit work that is not your own.

Learning with AI → Using AI tools to support understanding and skill development.

Plagiarism → Presenting someone else's work or ideas as your own without credit.

Common Confusions

Thinking all AI use is cheating

Thinking all AI use is cheating Using AI to help understand or practice is allowed; cheating only occurs when AI replaces your own work.

Believing copying AI answers is learning

Believing copying AI answers is learning Copying answers without effort does not build skills and is considered cheating.

Summary

Using AI to explore and understand topics helps learning and supports academic integrity.

Submitting AI-generated work as your own without effort or credit is cheating.

Knowing when AI supports your thinking versus replaces it is key to maintaining honesty.