From Vibe Learning to Vibe Teaching
Artificial intelligence is changing education faster than almost any technology that came before it.
Students can ask AI to explain a difficult concept, generate examples, answer questions, create practice exercises, review their work, and provide feedback within seconds.
But having access to answers is not the same as learning.
And having AI generate educational content is not the same as teaching.
That distinction is at the heart of Vibe Teaching, an approach I began developing shortly after creating the Vibe Learning concept and framework.
I’m Laurence Svekis, an educator, developer, author, and longtime creator of online learning experiences. I began working with online education in 2001, long before generative AI entered the classroom.
When generative AI arrived, I saw something much bigger than another educational technology.
I saw the possibility of changing the relationship between the learner, the teacher, knowledge, and technology.
That thinking led me to create Vibe Learning in 2025—and shortly afterward, to begin using the term Vibe Teaching for the teaching side of this new approach.
What Is Vibe Teaching?
Vibe Teaching is an AI-assisted teaching approach that uses educators, learners, and AI together to create adaptive, guided, active learning experiences.
The goal isn’t to automate the teacher.
It is to amplify what a great teacher already does.
A teacher does much more than deliver information.
A teacher observes.
A teacher asks questions.
A teacher recognizes confusion.
A teacher adjusts explanations.
A teacher creates challenges.
A teacher provides feedback.
A teacher knows when to help—and, importantly, when not to help.
Vibe Teaching explores how AI can support all of these activities while keeping the educator responsible for the learning experience and the learner actively involved in the thinking.
The Connection Between Vibe Learning and Vibe Teaching
I originally developed Vibe Learning after seeing the emergence of vibe coding.
Vibe coding demonstrated something important: natural-language interaction with AI could dramatically change the way people create.
My question was:
What happens when we apply that same conversational, iterative relationship with AI to learning?
The answer couldn’t simply be:
Ask AI questions and let it give you answers.
That can make information easier to obtain, but it can also remove exactly the mental effort that makes learning happen.
So I began developing Vibe Learning as a more structured approach to AI-assisted learning.
The learner remains active.
They explore, predict, attempt, practice, retrieve, create, receive feedback, reflect, connect ideas, and apply what they know.
Vibe Teaching approaches the same problem from the other side.
Vibe Learning asks: How can I use AI to learn better?
Vibe Teaching asks: How can I use AI to help someone else learn better?
Together, they form two sides of the same educational philosophy.
AI Shouldn’t Replace the Teacher—or the Learner
One of the biggest mistakes we can make with AI in education is measuring success by how much work AI can eliminate.
Learning is different from many other forms of work.
Sometimes the work is the learning.
If AI immediately solves every problem, writes every response, explains every difficult idea, and corrects every mistake before the learner struggles with it, we risk creating the illusion of learning without developing real capability.
Vibe Teaching therefore uses AI differently.
Instead of asking:
“How can AI answer this for my student?”
we can ask:
“What interaction will help my student understand this?”
That small change leads to a completely different use of AI.
AI can generate a question instead of an answer.
It can offer a hint instead of a solution.
It can ask the learner to make a prediction.
It can create another example.
It can change the difficulty.
It can challenge an assumption.
It can ask the learner to explain an idea in their own words.
It can create a scenario where the learner must transfer knowledge into an unfamiliar situation.
It can analyze a mistake and help the teacher decide what the learner should practice next.
AI becomes part of the teaching environment rather than simply an answer engine.
The Teacher Becomes the Architect of Learning
Vibe Teaching changes the role of the educator, but it doesn’t make that role less important.
It can make it more important.
When information becomes nearly unlimited, simply delivering information becomes less valuable.
Designing the right learning experience becomes more valuable.
The teacher increasingly becomes a learning architect.
The educator determines:
- what the learner should ultimately be able to do;
- what concepts matter most;
- what sequence will build understanding;
- where learners should struggle;
- when AI should provide assistance;
- what questions should be asked;
- what practice will build capability;
- how understanding should be tested;
- what evidence demonstrates mastery; and
- when the learner is ready to move forward.
AI can help create and adapt those experiences, but human judgment provides the direction.
A Vibe Teaching Learning Loop
One practical way to think about Vibe Teaching is as a continuous cycle.
1. Orient
Establish the destination.
What should the learner understand, explain, create, solve, or demonstrate?
2. Understand
Help learners construct a useful mental model rather than simply memorize information.
AI can provide alternative explanations, analogies, examples, visualizations, and perspectives.
3. Predict
Before revealing what happens next, ask the learner to predict.
Prediction makes the learner commit to an idea and exposes assumptions that can then be examined.
4. Apply
Give the learner something meaningful to do.
Solve a problem.
Analyze an example.
Write something.
Build something.
Make a decision.
Explain a situation.
5. Feedback
Use human and AI feedback to identify the gap between the learner’s current understanding and the desired outcome.
6. Recall
Remove the reference material.
Can the learner reconstruct the important ideas from memory?
7. Connect
Ask how the new knowledge relates to something the learner already understands.
Connections help transform isolated information into usable knowledge.
8. Transfer
Change the situation.
Can the learner use the same knowledge when the problem looks different?
That is where understanding begins to become capability.
From One-Size-Fits-All to Adaptive Teaching
Traditional education has always faced a difficult constraint.
One teacher may be responsible for many learners who have different backgrounds, strengths, weaknesses, interests, and levels of understanding.
AI introduces the possibility of much more adaptive support.
Imagine teaching a concept and then allowing learners to explore it at different levels.
One learner might need another analogy.
Another might need a harder problem.
Another might understand the theory but struggle to apply it.
Another might have a misconception that requires a completely different explanation.
Vibe Teaching uses AI to help create those different pathways while keeping them connected to the teacher’s learning objectives.
The destination can remain consistent while the journey becomes more personalized.
Productive Struggle Matters
One of the principles connecting Vibe Teaching and Vibe Learning is productive struggle.
Difficulty isn’t automatically bad.
Appropriate difficulty can force learners to retrieve knowledge, test ideas, discover gaps, make decisions, and build stronger mental models.
The challenge for educators using AI is preventing AI from removing that struggle too quickly.
A Vibe Teaching prompt might therefore tell an AI tutor:
Do not immediately provide the answer. Ask the learner to explain their current thinking first. Identify one likely misconception and provide the smallest useful hint. Allow another attempt before giving additional guidance.
The AI is no longer simply generating information.
It is participating in a deliberately designed learning process.
Teaching Students How to Use AI Is Part of Teaching
AI literacy will increasingly become part of education itself.
Students need more than prompt tricks.
They need to understand when AI is useful, when it can be wrong, when they should verify information, when they should think independently, and when using AI may actually weaken their learning.
That means educators have another responsibility.
We need to teach students how to learn with AI.
Students should learn to ask:
What do I already know?
What am I trying to understand?
What should I attempt before asking AI?
Can I explain this without AI?
Can I verify this answer?
Can I apply the idea somewhere else?
What did AI help me understand?
What thinking did I actually do myself?
These are Vibe Learning questions, but teaching learners to ask them is part of Vibe Teaching.
AI Makes Great Questions More Valuable
For decades, education often rewarded knowing answers.
In an AI-rich world, answers are increasingly abundant.
Questions become more important.
A powerful question can expose a misconception, connect two ideas, trigger curiosity, reveal assumptions, or force knowledge to be applied.
Vibe Teaching therefore puts significant emphasis on questioning.
Instead of:
“Explain photosynthesis.”
a teacher might ask AI to help create a sequence such as:
What do you predict would happen to a plant kept without light?
Why?
What role do you think light is playing?
What evidence would change your explanation?
Now compare your prediction with what actually occurs.
Explain what changed in your thinking.
The AI isn’t replacing learning.
It is helping the educator create the conditions for learning.
A Human-Centered Future for AI Education
I don’t believe the future of education should be humans stepping aside while AI teaches everyone.
I see a more interesting future.
Human teachers + human learners + AI.
Teachers provide purpose, judgment, empathy, experience, standards, context, and direction.
Learners provide curiosity, effort, creativity, experience, decisions, and reflection.
AI provides adaptability, rapid feedback, simulation, questioning, examples, practice, exploration, and support.
The opportunity comes from designing the relationship between all three.
That is what I mean by Vibe Teaching.
Why I Created Vibe Teaching
I’ve spent decades working with technology, programming, education, online courses, and digital learning.
The emergence of generative AI convinced me that we weren’t simply getting another educational tool.
The relationship between people and knowledge was changing.
I created Vibe Learning as a way to describe and structure AI-assisted learning while preserving the human thinking required for real understanding.
As I continued developing the framework, the teaching side became equally important.
That led me to begin using Vibe Teaching to describe an AI-assisted approach for educators: using AI not merely to produce lessons faster, but to create more responsive, active, guided, and personalized learning experiences.
Vibe Learning and Vibe Teaching therefore share the same central principle:
Use AI to strengthen human thinking, not replace it.
That principle matters whether you are sitting on the learner’s side of the table or the teacher’s.
The Vibe Teaching Vision
The future classroom may not be defined by lectures, textbooks, assignments, or AI chatbots.
It may be defined by learning experiences.
Teachers will increasingly be able to create environments where learners explore ideas, interact with simulations, receive personalized questions, practice at an appropriate level, get immediate feedback, reflect on mistakes, build projects, and demonstrate mastery.
The teacher orchestrates that environment.
AI helps make it adaptive.
The learner remains responsible for thinking.
That is the future I see for Vibe Teaching.
And it is why I believe teaching may become more human—not less human—as AI becomes more capable.
Technology can provide information.
AI can generate content.
But education is ultimately about developing people.
Vibe Teaching is about using the power of AI to help us do that better.
Laurence Svekis is the creator of the Vibe Learning concept and framework and an advocate for Vibe Teaching as a human-centered approach to AI-assisted education.
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