It All Started with Output
The simplest way to describe Real Academy is “one output a day.”
It means that every day a child learns, they speak, write, and leave behind a tangible result. Here, “output” does not simply mean the result of solving a problem. It means a piece of work in which a child expresses their own thoughts in English.
Real Academy is a service that systematizes this output-centered learning approach. Headquartered in Daechi-dong, Seoul’s well-known education district, Real Academy has focused on bringing the structure of a Daechi-style language academy into an online learning environment.
One of the defining characteristics of the Daechi-style academy system is not simply acceleration or advanced-level learning. It is the diversity of the learning experience. Each academy has its own philosophy and curriculum, and the scope and difficulty of lessons vary widely. In that environment, children do not simply receive English in a one-way format. They use English more interactively through projects, discussions, presentations, writing, and speaking.
For example, imagine a lesson that begins with the question, “What if you opened an ice cream shop?” A child might learn the names of ice cream ingredients in English, write their own recipe, create a brand name, and finally introduce and sell their ice cream in English.
What matters in this process is not memorizing a few words. It is the experience of understanding a topic through one’s own thoughts, organizing those thoughts in English, and expressing them in a real-life context.
Ultimately, all of this learning leads to one goal.
Expressing my own thoughts freely in English.
Real Academy structured this goal within an online learning environment. GV Writing, GV Speaking, live classes, Echo Run, and Mate Speaking are not separate, standalone features. Together, they form one learning system that helps children practice writing and speaking in English every day.
However, not every child can express themselves freely from the beginning. That is why the question we kept coming back to was this:
When does a child begin turning the English they have learned into their own sentences?
And that question soon expanded further.
Instead of asking children to express themselves only after they have learned enough English, could expression happen during the learning process itself?
Traditional learning often follows a linear structure. Children first learn words, then grammar, then sentences, and only at the final stage do they try writing and speaking. But real language use does not happen only in that order. Children speak as they learn, discover what they do not yet know, learn again, and gradually build their own sentences.
That is why Real Academy came to see output not as the final result of learning, but as the way learning happens. From the moment we began asking this question, Real Academy started to become something more than a product that delivers English lessons well. It became a product that builds a path between a child’s thinking and expression.
At its core, Real Academy is not about teaching more English. It is about helping children bring out their own thoughts in English.
The Problem Was Not English Ability, but the Process of Turning Thoughts into Sentences
The problem Real Academy set out to solve was not simply a lack of English knowledge.
There are certainly times when elementary school students cannot write because they do not know enough English. But more often, they are in a state where they have thoughts, but do not yet have a path to turn those thoughts into English sentences. One step earlier, some children even struggle to figure out what they want to say in the first place.
For example, answering the question, “If you went to space, what would you want to do first?” requires more thinking than it may seem. A child needs to imagine the situation of being in space, choose what they would want to do there, and think about why. For children who have not yet had enough practice thinking, organizing, and expressing themselves even in their native language, the question itself can feel quite difficult.
So asking a child to simply “write it in English” is a more complex request than it appears. First, the child has to think of what they want to say. Then they need to organize that thought into a sentence. Then they need to convert it into English words and grammar. In speaking, pronunciation, speed, and confidence are added on top of that.
That is why Real Academy’s problem definition was not, “Let’s have children memorize more English.”
The more fundamental question was this:
How can we draw out a child’s thoughts, and how can we design the process of turning those thoughts into English expression within the product?
Real Academy began with this question. We saw English output not as the final stage that checks what a child has learned, but as the process through which a child forms thoughts, attempts expression, and learns again.
What Children Needed Was Not Fun Content, but the Experience of Completion
Our early approach was relatively familiar. We believed that if we increased the density of engaging content and pattern-based learning, children would naturally move toward English output.
Good content certainly lowers the barrier to entry. Scenes children enjoy, familiar characters, and sentences they can hear repeatedly all have the power to help them begin learning. But that alone was not enough.
Content could bring children in, but we needed something else to help them complete their own sentences. What sustains a product is not fun itself, but the feeling of having completed what I wanted to say.
So Real Academy’s lessons were redesigned not as a way to memorize more English expressions, but as a path where children first bring out their own thoughts, turn those thoughts into English sentences, and finally express them aloud.
Children cannot write and speak freely in English from the very beginning. That is why Real Academy does not immediately ask them to “write in English.” First, Lia Tutor, our AI tutor, breaks a big question down into smaller questions.
For example, if the big question is, “What would you like to do if you went to space?” Lia Tutor breaks it down into smaller questions that are easier for a child to answer. Where would you like to go? What would you like to see? Who would you like to go with? Why do you think so? In this way, Lia Tutor helps the child think one step at a time.
At this stage, children can freely brainstorm in their native language. Rather than worrying about English first, they begin by organizing what they want to say. We believed that children need to bring out their own thoughts first before meaningful English output can happen, even if those thoughts are not yet easy to express in English.
Next, children learn key expressions and sentence patterns connected to the day’s topic. Based on the ideas they generated earlier, they use the newly learned words and sentence patterns to complete English sentences. In this process, English expressions are not isolated items to memorize. They become tools for turning what the child wants to say into English.
When children do not know how to write something, they can ask Lia Tutor for help. Lia Tutor does not stop at correcting a child’s sentence, grammar, or vocabulary. It looks at the child’s level, sentence length, expression habits, and traces of effort, then helps the child move toward the next sentence.
What matters is that Lia Tutor does not write the answer on behalf of the child. Rather than immediately giving the correct answer, it offers hints, encourages the child to think again, and waits while the child tries to revise the sentence on their own. The role of an AI tutor in Real Academy is not to provide answers quickly, but to help children complete their own sentences until the end.
It is also meaningful that children and parents began calling Lia Tutor “Teacher Lia.” For AI to be accepted as a teacher, accuracy alone is not enough. The experience must also include the ability to wait for a child’s imperfect sentence, stay with incomplete expression, and encourage another attempt.
And once the writing is complete, the output does not end there. Children use the story they wrote to speak with an AI friend. They do not simply look at their sentences on the screen. They say them aloud and connect writing to speaking.
In the end, Real Academy’s lesson follows one connected flow.
Breaking a big question into smaller questions → brainstorming in the native language → learning topic-based expressions and sentence patterns → writing my thoughts in English → revising with hints and feedback from the AI tutor → speaking the story I wrote
In this structure, output is not the final stage of learning. Output is how learning happens. Children learn by writing, internalize again by speaking, and gradually expand their ability to express themselves through feedback.
So what Real Academy focused on was not simply providing more content. It was creating an experience where children complete one thought in their own English sentences every day and then express those sentences aloud.
A good AI tutor is not a chatbot that gives answers quickly.
It is an interface that waits for a child’s next sentence.
Children did not simply need more fun content. They needed the experience of completing what they wanted to say in English.
Reports Became a Window for Parents to See Their Child’s Growth
In an elementary education product, it is not enough for the child alone to be satisfied. The child is the learner, but parents are the ones who observe the learning and decide whether it should continue. That is why Real Academy’s learning experience was designed not to end inside the child’s screen.
The writing a child completed that day, the sentences they spoke, the feedback they received from the AI tutor, and the areas where they improved all needed to be delivered to the parents as well. A simple notification saying, “Today’s lesson is complete,” was not enough. What parents wanted to see was not just attendance, but evidence of what their child actually thought, said, and improved.
So Real Academy designed its reports to be both visible and audible. They include not only the child’s writing, but also the voice recordings from that day. Through reports delivered via KakaoTalk notifications, parents can see what topic their child thought about, what new sentences they learned, and how they said those sentences aloud.
One parent interview left a strong impression on us. The parent said they found themselves waiting for the lesson report to arrive through KakaoTalk while they were at work. They were curious about what their child had thought about that day, what kind of writing they had completed, and what new sentences they had learned and spoken aloud.
That moment mattered. The report was not just a learning result sheet. It was a connection point that helped parents follow their child’s learning day, glimpse their child’s thoughts, and notice small changes.
What parents want to check is not simply whether their child showed up. They want to know whether their child wrote a longer sentence than before, spoke more naturally, reduced repeated mistakes, and began expressing their own thoughts in English. That is why the report was not an add-on feature, but a core channel for delivering product value.
Real Academy also brought parents into the praise loop. Within the learning system, there is a reward structure called the Praise Savings Jar. Before a child receives a reward after completing learning, a praise card written by the parent through KakaoTalk is delivered to the child’s tablet.
In this structure, rewards do not end as simple external incentives. Before receiving a gift coupon or coin, the child first experiences encouragement and praise directly from the parent. In other words, the reward becomes a learning experience accompanied by parental recognition and emotional feedback, not just a material reward.
What Real Academy cared about was not placing parents only in the role of payer or manager. We designed a participation structure inside the product so that parents could follow the child’s learning journey, offer encouragement, and recognize small achievements.
In the end, Real Academy’s learning loop does not end with the relationship between the child and the AI tutor. When the child writes and speaks, the AI tutor gives feedback, the parent sees the change, and praise and encouragement return to the child.
Learning → Report → Parent Review → Praise Card → Child’s Next Attempt
When this flow is created, learning moves beyond an activity on a screen and becomes a routine inside the home.
In an elementary learning product, growth does not end on the child’s screen. The product’s value is completed at home when parents understand the change and join in the encouragement.
The Praise Savings Jar Became More Than a Reward. It Became a Learning Loop That Brings Children Back
As mentioned earlier, learning in Real Academy does not end as an activity that a child completes alone on a screen. When children write and speak, the AI tutor gives feedback, parents see the change, and praise and encouragement return to the child.
The Praise Savings Jar was designed to turn this flow into a loop that could be repeated every day.
If we look at Real Academy’s features separately, they may seem like live classes, Writing Lessons, Speaking Lessons, AI feedback, reports, and the Praise Savings Jar. But from a product perspective, they are connected as one flow.
A child brings out their thoughts on the day’s topic, writes about them, and expresses them aloud. The AI tutor helps the child complete their own sentences through that process. Parents review the report to see what their child wrote and said. Then the praise card and reward return to the child, giving them one more reason to begin the next learning session.
Learning Completed → AI Feedback → Report Delivered → Parent Review → Praise Card → Reward → Re-entry
In this structure, the Praise Savings Jar is not simply a reward mechanism that attracts children. It is a connector that helps children remember the experience of completing learning and carry that experience into the next session.
Language learning requires repetition and accumulation. But for children, repetition can quickly become boring. To sustain the act of writing, speaking, and trying again every day, small completion experiences and positive feedback need to build up continuously.
That is why Real Academy did not place rewards outside the learning experience as decoration. We placed rewards inside a structure where children complete learning, receive praise from their parents, experience that praise together with the reward, and then return to the next learning session.
What matters is not the reward itself, but the context in which it is placed. Children do not only need the feeling of “I received something.” They need the feeling that “I did it today, my parents noticed, and I can try again.”
When this flow is created, learning becomes not a one-day event, but a routine at home. What Real Academy aimed to build was not just a reward system, but a learning loop in which children’s small outputs are recognized every day and repeated again.
Growth Needed to Be Verifiable, Not Just Felt
What Real Academy wanted to deliver to parents was not simply the feeling that “my child is working hard.”
In elementary English learning, the question parents care about most is ultimately this:
Is my child actually improving?
The daily experience of learning, receiving reports, and being praised is important. But there also needs to be confidence that all of this is leading to real growth. That is why Real Academy aimed to create a structure where a child’s growth is not judged by feeling alone, but can be seen and verified.
That led to the creation of the Growth Guarantee Program. The Growth Guarantee Program is designed to verify whether Real Academy’s learning works effectively in an actual test environment. When a child completes a designated level of learning, they take an official ETS TOEFL test, and the result is used to confirm learning outcomes. If the child does not meet the performance benchmark, additional learning opportunities are provided at the same level so they can try again.
In other words, growth at Real Academy does not stop at “it feels like my child has improved.” If daily reports show a child’s small changes, the Growth Guarantee Program checks whether those changes also hold up against an external test standard.
In this structure, reports and the Growth Guarantee Program play different roles. Reports allow parents to see their child’s day. The Growth Guarantee Program allows parents to confirm their child’s accumulated growth. One shows daily change, and the other verifies cumulative progress.
What Real Academy cared about was designing both together. We wanted to show parents what their child thought, wrote, and said in English every day, and also allow that growth to be confirmed through a credible test after a certain amount of learning.
That is why Real Academy sought to become not simply a service that provides learning, but a system that takes responsibility for both the process and the results of learning.
The Product Principles We Learned from Building Real Academy
The biggest lesson we learned while building Real Academy was that elementary English output learning cannot be solved with a single feature.
Good content is not enough. Good AI feedback is not enough either. The entire flow needs to be designed together: helping children bring out their thoughts, write in English, speak aloud, allowing parents to see the change, bringing children back to the next learning session, and objectively confirming accumulated growth.
Through that process, we organized Real Academy’s product principles into five points.
First, we need to draw out the child’s thoughts first. Rather than immediately demanding English output from elementary students, we need a structure that helps them first think about what they want to say. Good English sentences begin with good ideas, and good ideas begin with questions that draw out the child’s thoughts.
Second, AI should be more of an expression facilitator than a correction tool. A good AI tutor does not write the answer on behalf of the child. It asks questions, waits, gives hints, and helps the child try again so they can create their own sentences. This is also the role Lia Tutor aims to play.
Third, the parent experience is not an add-on feature, but a way to prove value. In an elementary education product, growth does not end on the child’s screen. The product’s value is completed at home when parents can see what their child wrote and said, and how they are changing. Reports are not simple result sheets. They are a core experience that helps parents understand their child’s growth.
Fourth, rewards should not be a distraction. They should be designed to help children remember the experience of completion. Rewards are not a replacement for learning. They should strengthen the feeling that the child completed the day’s learning and connect that feeling, together with parental praise, back to the next session.
Fifth, growth should be shown through verifiable evidence, not just impressions. What parents want is not simply learning time or attendance records. They want evidence that their child is actually improving. Real Academy shows small changes through daily reports and confirms accumulated growth through the Growth Guarantee Program against an external test standard.
All five principles point in one direction. Real Academy should not be a product that simply pushes more English into children. It should be a product that helps children bring out their own thoughts in English every day and allows that growth to be truly seen.
Real Academy Helps Children Become People Who Express Themselves in English
What Real Academy is testing is not ultimately how well AI can provide answers.
The more important question is this:
How well can AI accompany a child through the process of expressing their own thoughts in English?
In Real Academy, the AI tutor is not a tool that completes English sentences on behalf of the child. It is a companion that helps the child bring out their thoughts, turn those thoughts into English sentences, and express them again through speech.
It breaks big questions into smaller questions, helps children bring out their thoughts in their native language, and stays with them as they turn those thoughts into English sentences. And when a child gets stuck, it does not immediately give the answer. It provides hints and feedback that help the child think again.
What Real Academy is building is not simply an English learning service. It is a system that helps children bring out their own thoughts in English little by little every day, while making that growth visible.
We aimed to connect the full process into one learning experience: a child’s thought becomes an English sentence, that sentence becomes spoken output, that growth is delivered to parents every day, and at certain points it can be confirmed through a credible test.
Within this system, AI becomes closer to a teacher than an answer key.
It waits for the child’s words, asks again, recognizes small attempts, and helps the child move toward the next sentence.
And little by little, the child moves from being someone who learns English to someone who expresses themselves in English.
