Series Index

1. Why Learning Standards Are Breaking Down in the AI Era
How AI is eroding traditional learning benchmarks and blurring the question of what students should learn.

2. What Is Language Learning For Now?
Why language is shifting from a tool of expression to one of interpretation and understanding.

3. What Does It Really Mean to Be Good at English?
A redefinition of English proficiency around structure, context, comprehension, and literacy.

4. More Dangerous Than Dopamine Addiction: The “Click” Brain
How AI’s response structure is conditioning children to react before they think.

5. In the AI Era, By What Standard Should We Learn?
A concluding framework for educational choices that connects exams, judgment, and the future.

 

By Kang Sang-woo, Head of Future Strategy, CREVERSE

If the previous four episodes can be summed up in one sentence, it is this: AI is replacing expression, the “click-response brain” is skipping thought, and children are increasingly accumulating the experience of consuming answers rather than the experience of thinking.

That leaves us with an unavoidable question. In this era, what should learning be based on? What should we leave behind for our children?

Let me be clear. This is not an argument for keeping children away from AI. Rejecting technology is not a solution. AI is already part of the basic infrastructure of the world our children will live in.

The real issue is not the technology itself, but the way dependence on technology is reshaping the structure of thought. What we need to ask first is not simply “How should we use AI?” but “What is it that AI cannot replace?”

What AI cannot replace is the process of understanding.

In the AI era, the most valuable ability is not the ability to obtain answers quickly. It is the ability to interpret, examine and judge those answers independently. For that reason, I propose two standards for learning.

1. The Experience of Reading Original Texts to the End, Not Consuming Summaries

What children are most at risk of losing in the AI era is sustained thinking. With a single click, AI can reduce hundreds of pages into three lines. But the moment children consume only the summary, they lose the opportunity to climb the carefully designed staircase of logic built by the author.

The reason children should read original English texts is clear. Original texts are not merely tools for improving English proficiency. They are one of the most demanding forms of cognitive training: navigating thousands of unfamiliar words and sentences, inferring the author’s hidden intentions, and constructing the full context independently.

Smooth AI-generated translations and summaries may be convenient, but they can also reinforce the “click-response brain.” By contrast, the process of wrestling with the raw, unfamiliar texture of an original text activates System 2 thinking.

A child who finishes an original book does not simply become better at English. That child builds the intellectual framework needed to identify meaning amid fragmented information. The structural reading ability now required by Korea’s CSAT and school aptitude tests comes precisely from this “muscle of reading.”

2. The Ability to Ask AI “How,” Not Just “What”

Using AI well is certainly an important ability. But many students use AI as an answer vending machine. “What is the answer?” “Summarize this in one line.” This is little more than outsourcing thought.

A more capable student asks AI about the process.
“What sequence of thinking should I follow to solve this problem?”
“Is there a gap in my logic?”
“How should I analyze the structure of this passage?”

The important truth is that only students who have developed literacy through thinking can ask these kinds of “How” questions. Only a child who understands that a text contains a precise logical structure, and who has experience building arguments independently, can use AI as a partner in thought.

A child without literacy begs AI for results. A child who has learned literacy through a foundation of thinking uses AI to expand his or her own reasoning. This is why literacy training grounded in the “muscle of thought” has become even more important in the AI era.

Exams and the Future Are Not Two Separate Goals, but One Path

Parents often feel that preparing for exams and preparing for the future are in conflict. At this moment, however, the two are converging.

In the 2026 CSAT English exam, administered in 2025, only 3.11 percent of students received a Level 1 score. In the 2026 first-year high school academic assessment, the Level 1 rate was 4.38 percent.

These figures do not simply mean that the exams have become more difficult. They signal a change in the quality of ability being assessed. What is now being tested is not quick reaction, but sustained thinking; not memorization, but structural understanding; not the consumption of answers, but the reconstruction of logic.

In other words, the abilities required by today’s entrance exams are precisely the abilities that AI cannot easily replace.

Preparing properly for exams and building the capacity to live in the AI era are, at this moment, pointing in the same direction.

Let me end with one question.

What are we leaving behind for our children?

Are we allowing them to consume what AI has summarized for them, or are we helping them build the experience of reading original texts to the end and organizing meaning on their own? Are we teaching them to receive answers from AI, or training them to think with AI?

Technology will continue to advance. Expression and summary will increasingly become the domain of machines. But the more that happens, the more clearly one human capacity will remain essential: the ability to think independently.

A child who does not simply “click,” who reads to the end, connects ideas independently, and asks AI about the process rather than the answer — this is the kind of learner education must now cultivate.

The standard for learning in the AI era lies here.

About the Author
Kang Sang-woo is Head of the Future Strategy Division at CREVERSE. He holds a master’s degree in business administration from Seoul National University and studied economics at Duke University after graduating from Daewon Foreign Language High School. He currently oversees THE OPEN content and classes at CREVERSE. His previous experience includes strategy leadership at medical and entertainment AI companies, as well as U.S. college admissions consulting.