The New 24/7 Tutor
The appeal of using AI for revision is obvious. Tools like ChatGPT and others can act as a personal tutor that never sleeps. Students are using them to summarise dense textbook chapters into bullet points, generate flashcards for key terms, and explain
complex concepts in simple language. Instead of passively re-reading notes, students can ask AI to create practice questions or mock quizzes based on their study materials. This provides an interactive way to prepare, allowing students to test their knowledge instantly instead of waiting for feedback. This shift is significant, turning revision from a lonely chore into a dynamic conversation with a machine that can offer personalised learning paths.
The Promise of Smarter Studying
The biggest advantage is efficiency and accessibility. AI can take scattered lecture notes and organise them into a structured study guide in seconds. It can help students brainstorm ideas for essays or projects, offering different angles they might not have considered. For many, it's a way to get answers to questions they might be too shy to ask in class. This on-demand assistance can reduce stress and help students manage their time better, especially when juggling multiple subjects and deadlines. In principle, these tools offer a way to make learning more tailored and less overwhelming.
The Catch, Part 1: The Accuracy Trap
Here’s the first and most dangerous catch: AI makes things up. This phenomenon is known as 'hallucination', where the AI generates information that sounds credible but is factually incorrect, misleading, or entirely fabricated. Because AI models are designed to predict the next logical word, not to verify truth, they can state falsehoods with complete confidence. For a student revising for an exam, this is a disaster. An AI-generated summary might subtly misrepresent a key theory, or a practice question could be based on outdated information. Relying on such information can lead to reinforcing misconceptions and failing exams.
The Catch, Part 2: The Illusion of Learning
The second catch is more subtle. Using AI can create an illusion of understanding without any real learning taking place. When students outsource the core tasks of thinking—like summarising a text or forming an argument—they bypass the very cognitive effort that builds long-term knowledge. Skimming an AI-generated summary is not the same as reading and synthesising the material yourself. A recent USC report found most students use AI for 'executive help' (getting quick answers) rather than 'instrumental help' (deepening their understanding). This over-reliance can weaken critical thinking skills and create a dependency where students struggle to solve problems without their AI assistant.
The Catch, Part 3: The Plagiarism Tightrope
Finally, there is the ever-present issue of academic integrity. Submitting AI-generated work as your own is plagiarism, and institutions are increasingly using detection tools to catch it. The line can be blurry; using AI to brainstorm ideas is fine, but asking it to write paragraphs or entire essays is academic misconduct. Many schools now have strict policies, and students caught using AI dishonestly face serious consequences. Even if a student rewrites AI text, they are walking a fine line, as the core ideas are not their own, which undermines the entire purpose of the assignment.
How to Use AI the Right Way
The solution isn't to ban AI, but to learn how to use it wisely. Treat it as a starting point, not an endpoint. Use it to generate practice questions, but then answer them yourself before checking. Ask it to explain a concept in five different ways to deepen your understanding. Most importantly, always verify the information it provides with trusted sources like textbooks or course materials. Think of AI as an intern: it can do the grunt work of gathering and organising information, but you, the manager, must do the critical thinking, fact-checking, and final decision-making. The goal is to use AI to challenge your own thinking, not replace it.
