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Can Computers And AI Teach Better Than Humans?

Can Computers And AI Teach Better Than Humans?

by eddieebroke

The Endless Monkey Theorem asserts that a monkey striking random keys on a typewriter for an infinite time could compose all of Shakespeare’s works. The statistical odds of monkeys writing Shakespeare are nearly negligible, and everything is possible but not likely.

Taking the Infinite Monkey Theorem further, it’s unlikely a machine with a robust neural network, and advanced algorithms could replace a skilled instructor. Aldwyn Cooper, a cognitive psychologist, says people will always be better teachers than technology.

Relational, not transactional, teaching

A teacher’s greatest gift is seeing students for who they are, who they can be, and the relationship (not transaction) between the two. Positive student connections are vital to the learner experience, and developing meaningful student relationships is one of a teacher’s most demanding jobs.

Robots can’t reproduce human relationships’ subtleties. Knowing someone goes beyond memorizing facts and AI can’t match the closeness of likable teachers. Robotics and information communication may augment or speed up human conversation, not develop and sustain meaningful relationships.

Effective teachers must be outstanding at building relationships, which is vital and challenging. Machines can’t form genuine connections or enhance them, and thus they can’t be good instructors.


McGill University researchers say empathy matters. People who get empathy from others, especially children, learn better. Students require care like adults, and it’s an investment when a teacher pauses, listens, and pays attention. Empathy reduces the detrimental consequences of repeated stress, suggesting it boosts social and intellectual accomplishment.


Having an inspiring instructor unites people. Successful people often talk about the instructor who motivated them to achieve their ambitions. Inspire, don’t inform. Effective teaching focuses on why and how, not what, to stimulate imagination and connect with students. Inspiration can’t be planned; teachers inspire students.

Computers can motivate, but only humans can inspire.

A skilled teacher may spark curiosity and enthusiasm. Artificial intelligence may be able to replace some of a teacher’s rote responsibilities; computers can present information, calculate, and project, but they cannot be human.  And you can also read a guide to solve assignment problems.


New conditions are difficult for machines. Robots are built to make inferences based on pre-programmed possibilities. Thus computers can’t successfully transfer learning to new situations. Humans can’t communicate personal experiences to robots. When we face something new, we share.

If a person learns to play a video game using the WASD keys, those abilities will assist them in learning a new game, even if it’s different; we transfer our past learning. Unlike humans, machines aren’t that advanced, and AI can’t move its ‘learning’ to new settings. When AI is given a “transfer test” with circumstances different from training/coding examples, it often cannot accomplish the assignment with assignment editing help.

To be a great teacher, you must adapt and apply learning in meaningful ways that neural networks and deep understanding can’t replicate. Machines can accomplish specialized duties, but they cannot handle current classes.

It’s not all-or-nothing

The dichotomy is a disparity between two things. People view schooling decisions as dichotomies, limiting alternatives. When we ask, “will AI replace teachers?” we eliminate all other possibilities. Why not combine robots and humans? The goal isn’t to replace teachers with robots but to enhance the learning experience. Maybe they can coexist peacefully, which would enrich the experience more than utilizing only one.

AI and automated systems might collaborate in education to assist instructors and students. We use computers to grade tests, track attendance, and differentiate learning through adaptive methods. Chatbots and customized teacher aides are some examples.

Teachers support kids when they struggle and urge them to establish and attain objectives, whereas machines use badges and game-based design. A machine can deliver information, but a teacher can help students achieve. Technology will play a key role in education, but it won’t replace human teachers.

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