Learning with AI: A Journey Fueled by Curiosity and Questions

Learning with AI: A Journey Fueled by Curiosity and Questions

Posted on: Sun, 06/29/2025 - 05:56 By: admin
PIc

 

Learning with AI: A Journey Fueled by Curiosity and Questions

 

A 10-year-old child was cutting a piece of paper as part of her homework. That’s when a conversation began. I asked, "What is the smallest piece you can cut? Can it be further divided?" I didn’t know the answers, but I was curious to explore—and I had an AI chatbot in my hand.

Here, I present the conversation. This post records a real exchange between a curious learner and an AI chatbot, illustrating how intelligent dialogue and the right questions can turn AI into a powerful learning partner. The conversation explores the fundamental structure of matter, atomic theory, and particle physics.

 

Q1. What do we call the smallest particle of a matter?

AI:  The smallest particle of matter that retains the chemical identity of that matter is called an atom.

Q2. Can atoms be further divided?

AI: Yes, atoms can be divided into subatomic particles:

  • Protons (positive charge, in the nucleus)
     
  • Neutrons (neutral, in the nucleus)
     
  • Electrons (negative charge, orbiting the nucleus)
     

Protons and neutrons themselves are made up of even smaller particles called quarks. Electrons are currently considered elementary particles, meaning they are not made of anything smaller.

 

Q3. How did scientists conclude whether matter can or cannot be further divided?

AI:Scientists have not concluded that matter cannot be further divided. Instead, they continuously explore deeper levels. Here's how understanding evolved:

  1. Dalton’s Theory (19th century): Proposed atoms as indivisible.
     
  2. J.J. Thomson: Discovered electrons, showing atoms have internal structure.
     
  3. Rutherford: Found the atomic nucleus.
     
  4. Chadwick: Discovered the neutron.
     
  5. Gell-Mann and Zweig: Found that protons and neutrons consist of quarks.
     

Using particle accelerators, scientists collide particles at high energies to probe for internal structure. If no substructure is detected, the particle is considered fundamental — for now.

Q4. At the atomic level, is the atom of iron different from the atom of bone? How?

AI: Yes, they are different because of the number of protons in the nucleus, which defines the element:

  • Iron (Fe): 26 protons
     
  • Calcium (Ca) (in bone): 20 protons
     
  • Other elements in bone: phosphorus, oxygen, carbon, hydrogen — each with a different atomic number.
     

The differences in atomic number lead to distinct chemical behaviors and physical properties.

 

Q5. How can one see an atom?

AI: Atoms are too small for visible light to reveal, but scientists use advanced technologies to “see” atoms indirectly:

  • Scanning Tunneling Microscopes (STM)
     
  • Atomic Force Microscopes (AFM)
     
  • Transmission Electron Microscopes (TEM)
     
  • Scanning Transmission Electron Microscopes (STEM)
     

These tools detect atomic-scale interactions and translate them into images. So, while we don’t see atoms like photos, we visualize them through measured interactions and simulations.

Q6. What’s the total number of fundamentally different particles discovered so far?

AI: According to the Standard Model of Particle Physics, there are 17 named fundamental particles:

  • 12 Fermions (matter particles: 6 quarks + 6 leptons)
     
  • 5 Bosons (force carriers: photon, gluon, W⁺, W⁻, Z⁰, Higgs)
     

Including variations (colors of quarks, antiparticles), the total number rises to around 61.

Q7. So with these 17 fundamental particles, is everything in the universe—like air, water, light—made?

AI: Yes—ordinary matter is made from:

  • Quarks: form protons and neutrons
     
  • Electrons: orbit nuclei
     
  • Photons: make up light
     
  • Gluons, W/Z bosons, Higgs: mediate forces
     

However, the Standard Model doesn’t include gravity, dark matter, or dark energy, which means it’s incomplete. Scientists are working to go “beyond” the Standard Model.

Q8. When fundamental particles are observed, do they remain stable or spin?

AI: Fundamental particles behave according to quantum principles:

  • They have quantum spin, an intrinsic angular momentum—not literal spinning.
     
  • Some are stable (e.g., electrons, photons), others decay (e.g., muons, tau particles).
     
  • Upon observation, particles collapse from a wave-like probability to a definite state (as in the double-slit experiment).
     

Q9. Does that mean objects made of fundamental particles—like a stone or a tree—are also in continuous spin?

AI: Every fundamental particle does have spin, but in large objects:

  • Spins cancel each other out due to random orientations.
     
  • Thus, the object (stone, tree) doesn’t appear to spin macroscopically.
     
  • Exceptions exist, like in magnetic materials, where spins align to produce magnetism.
     

Q10. How are these principles of fundamental particles related to the making of the atom bomb?

AI: Atomic bombs rely on nuclear fission—splitting heavy nuclei (like Uranium-235 or Plutonium-239) into smaller nuclei, releasing huge amounts of energy:

  • A neutron (neutral, fundamental particle) strikes the nucleus.
     
  • The nucleus splits, releasing energy + more neutrons.
     
  • These neutrons trigger chain reactions, causing explosive power.
     
  • It’s all based on principles like binding energy, mass-energy conversion (E=mc²), and neutron behavior.
     

Conclusion: Learning as a Conversation

This conversation highlights that AI isn’t just a source of answers—it’s a thinking partner. With the right questions, AI can help unpack the complexity of scientific concepts and deepen understanding. The key? Curiosity, clarity in questioning, and a willingness to explore.

In my conversations, I often say: for anyone with access to an internet-enabled mobile device, learning is inevitable—and remaining ignorant is a choice.

 

If you want to explore more...

Agentic AI: Rethinking Identity, Consciousness, and the Role of Teachers  

 

Reclaiming Technology: Power, Policy, and the Future of Digital Spaces   

 

Generation Alpha: Navigating the Digital Age of Learning and Distraction 

Teachers, AI, and the Future of Learning 

Understanding AI through the HSPT Framework 

Where learning is Obvious, and Staying Ignorant is a Choice 

AI in Everyday Life: From Dazzle to Deep Surveillance 

Mining the Mind: The Implications of Surveillance Capitalism 

Will teachers survive the AI challenge?  

And here is the link for TED Talk on this issue