When students should use AI and when shouldn’t
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Using AI in your studies is a double-edged sword. Recent research—including findings from the global OECD PISA reports—shows that students who rely on AI to generate answers or bypass reading often perform worse on exams, while those who use it strategically to test themselves gain a significant edge.
To get the most out of AI without dulling your own critical thinking, here is when you should and shouldn’t use it.
Nayan Jha Sir’s perspective aligns closely with core pedagogical principles, especially for conceptual subjects like Physics. His advice highlights the essential distinction between verification/quick utility and deep, foundational learning.
1. Where AI Works Well (As a Quick Reference & Verification Tool)
- Checking Correctness & Confirming Answers: Once you have solved a numerical problem on your own, using AI to check whether your final answer or calculation steps match is an efficient use of technology.
- Quick Definitions & Short Topics: For fast factual queries (e.g., “What is the standard value of Permittivity of Free Space?” or “Define Lenz’s Law in two lines”), AI acts like a smart dictionary saving you time.
- Saving Time on Minor Clarifications: When you are stuck on a minor unit conversion, a specific formula variable, or a quick definition, AI prevents you from breaking your workflow to search through textbooks.
2. Why AI Fails as a “Full-Time Teacher” for Deep Physics Concepts
- Formula Derivations Require Step-by-Step Logic: Physics derivations are not about memorizing lines; they are built on fundamental laws (like Gauss’s Law, Conservation of Energy, or Newton’s Laws). Seeing an AI output a derivation instantly deprives your brain of following the step-by-step physical logic.
- Lack of Intuition: Physics requires spatial and physical intuition (understanding vectors, field lines, motion under gravity, etc.). An AI can display equations, but a human teacher or active problem-solving builds the mental model of why a force acts in a certain direction.
- Practice-Based Skills Need Muscle Memory: Mastering Physics—especially for exams like CBSE Boards, JEE, or NEET—comes from struggling through multi-step numericals yourself. AI provides answers instantly, creating a false sense of understanding (“illusion of competence”) that crumbles during an actual exam.
The Practical Rule
Treat AI as a sanity check after you have put in the work. Use it for quick fact-checking and answer verification, but rely on teacher-led instruction, textbooks, and personal problem-solving when tackling new concepts, derivations, and practice numericals.
When to Use AI (As a Tutor or Assistant)
Use AI when it acts as an active learning accelerator—a tool that pushes you to think harder, test yourself, or organize your workload.
- Generating Active Recall Quizzes: Paste your own study notes into AI and ask it to write a 10-question multiple-choice practice quiz or flashcards to test your retention.
- Breaking Down Complex Concepts (Feynman Technique): Ask AI to explain a tough topic using an analogy. For example: “Explain quantum superposition like I’m 12 years old.”
- Structuring Study Plans & Time Management: Use AI to draft realistic daily revision schedules, break large projects into smaller tasks, or format messy study notes into clean tables.
- Feedback and Editing Assistant: Draft an essay or response on your own first, then ask AI to critique your argument, check for grammar, or point out logical gaps.
- Socratic Problem Solving: Tell the AI: “Do not give me the answer. Ask me step-by-step questions to help me solve this math problem myself.”
When NOT to Use AI (As a Shortcut or Substitute)
Avoid AI when it replaces the mental effort required to build brain connections. If the tool does the thinking, you won’t retain the knowledge when exam day arrives.
- First-Pass Reading & Summarization: Don’t rely on AI to summarize a textbook chapter or research paper before you’ve read it. The act of reading and picking out core ideas yourself is where retention happens.
- Drafting Assignments or Homework Responses: Writing is how you structure your thoughts. Having AI generate full paragraphs or complete assignments bypasses the primary goal of learning.
- Fact-Checking Without Verification: AI chatbots can hallucinate incorrect facts, citations, or formulas. Never use AI as a primary source for historical data, citations, or precise calculations without double-checking against trusted textbooks.
- Solving Math/Physics Problems directly: Copy-pasting a problem to instantly get the final step-by-step solution creates a false sense of mastery. You need to struggle through the steps yourself to build problem-solving stamina.
The Golden Rule: Use AI to test your understanding, clarify sticking points, and organize your time—never to replace the physical act of reading, writing, and problem-solving.