"Is 'Learning Twice as Much in Two Hours' Really Possible? The Expansion of AI Schools in the US Reexamines Educational Outcomes"

Studying at school ends in about two hours in the morning, allowing the afternoon to be used for sports, crafting, and presentation practice. Moreover, the amount learned is said to be double that of the traditional method.

Hearing such an explanation would likely pique the interest of many parents. It might provide tailored learning for children who struggle to keep up with classes or find them too easy. It could also reduce the time spent on homework and cram schools. The expectations for AI education are intertwined with the urgent wishes for current school life.

The American private school network "Alpha School" is an entity that gathers these expectations.

However, the New York Times reported on October 23, 2026, that while students' test scores are high, there are doubts among parents and educators about whether the school is achieving results that match its promotional claims.

What we need to consider here is not a binary choice of whether schools using AI are good or bad. The issue is what "learning twice as much" means and to whom it applies.

Morning is for learning software, afternoon for practical activities

Alpha's official website lists loving school, learning twice as much in two hours, and acquiring skills useful for life and the future as its pillars.

The academic learning approach is explained as a method where one moves on only after understanding a concept. Unlike classes where everyone learns the same unit at the same pace, it is designed to progress according to mastery levels.

According to the NYT article provided, two to three hours in the morning are spent on computer-based academic learning, and the afternoon is dedicated to AI-assisted programming, public speaking practice, sports, and more.

Adults are not absent. The school positions adults as "guides," focusing on supporting motivation and emotions and instructing in activities useful in real life.

This division of roles is appealing. By having software handle repetitive practice and pace adjustments, it might increase the time humans can spend addressing children's consultations and challenges.

However, when a student struggles with the learning content, who identifies the cause and provides alternative explanations? The quality of that support must be included in evaluating the educational model.

"High Scores" and "Fast Learning" Are Different Indicators

In considering this issue, the most important thing is this distinction.

High test scores indicate a high level of academic ability measured at that point. However, that alone does not prove that the learning speed has doubled due to the school's system.

For example, a child who had high academic ability before enrollment continues to score high after enrollment. While the results are excellent, to judge how much the school contributed to their growth, one needs to look at their state before enrollment and their subsequent progress.

Moreover, when comparing learning speeds, the comparison target is also important. Who was it compared with, over what period, in which subjects, and by what evaluation method? Does it include home study and additional support time? If these conditions differ, the meaning of the "double" figure also changes.

This is not a question directed only at Alpha. It is a common verification point for Japanese cram schools and learning apps that advertise "rapid grade improvement" and "significant learning efficiency enhancement."

When looking at numbers that indicate results, one should focus not only on their size but also on the conditions under which they were created.

Can a Few Success Stories Be Expanded to Public Education?

According to the NYT-provided section, Alpha's private schools have 50 campuses and about 1,500 students. The paper further reports, based on internal documents, that several school districts in Texas and South Carolina have adopted the software, with about 2,600 public school students using it.

This does not mean that public schools themselves have fully transitioned to the Alpha method. The school operation model and the introduction of learning software need to be understood separately.

Nevertheless, as users expand, the issues that need verification become larger.

The system supported by families who can afford high tuition and have a high interest in education and technology may not necessarily benefit children from various backgrounds in the same way. The time to support learning at home, reading comprehension, confidence in learning, and necessary considerations vary for each individual.

That's why, in addition to average scores and notable success stories, it's also necessary to understand the situation of children who struggle to improve.

If it is to be expanded to public education, it is essential to clarify the conditions under which it is effective for which children and when more human support should be provided.

On Social Media, Expectations for "Learning at One's Own Pace" and Doubts About Results

Online discussions surrounding Alpha do not fit into simple pros and cons.

In the Reddit parent community, there are posts expressing attraction to the idea of mastering the basics before moving on, rather than the method of progressing after a set time, and seeking experiences from families who have actually sent their children there.

This expectation is understandable because a system that allows learning at an individual pace seems to be one answer to the problems of "moving on without understanding" and "being held back despite already understanding."

On the other hand, in the same thread, there are also doubts about whether the successful children mentioned would have performed well at other schools and whether the high tuition fees are worth it.

Furthermore, there is a clash between the expectation that AI can identify weaknesses and provide individual support and the opinion that values human relationships in learning.

Education commentator Michael Horn also raises the issue on LinkedIn, acknowledging the valid points about the influence of home environment and the depth of learning, questioning whether a new educational model needs to fit all children from the start.

However, these are not solely direct responses to the current NYT article. The authenticity of the positions and experiences of anonymous posters cannot be independently verified, nor do they represent the opinions of all parents.

Still, there is something to be seen from the discussions. What interested individuals want is not just impressive promotional phrases but information that allows them to judge if it suits their own child.

In Japan, Consider Beyond "How Many Hours Can Be Reduced"

When considering this model in Japan, the first thing to re-examine is what the shortened time will be used for.

If the efficiency of repetitive practice is improved, and time can be allocated to reading, dialogue, experiments, music, and exercise, it could lead to meaningful change. Conversely, if the freed-up time is filled with even more assignments, the burden on children might not decrease.

Moreover, getting the correct answer to a problem is not the same as being able to explain the reason in one's own words. Being able to use knowledge in situations never seen before and reconsidering after hearing different opinions are also aspects to be seen as educational outcomes.

The Ministry of Education, Culture, Sports, Science and Technology's Guidelines Ver.2.0 for the use of generative AI, published in December 2024, advocate a human-centered approach and show a stance of making use judgments based on developmental stages and learning situations. It emphasizes not entrusting everything to generative AI and also focuses on promoting deep understanding and self-judgment.

It should be noted that software that adjusts learning progress and AI that generates text are not the same. When comparing Alpha with Japan's use of generative AI, it is necessary not to lump them together under the single name "AI."

Five Things Parents Want to Confirm

When choosing schools or materials that incorporate AI, the following points can serve as criteria for judgment.

• Definition of Results
  Is it an explanation of what has improved among scores, growth rates, and learning time?

• Examples Close to Their Own Child
  Are results shown for children of similar age, academic ability at enrollment, and necessary support?

• Response When Struggling
  Who and how will address problems that cannot be solved by software?

• Learning Outside the Screen
  What time is allocated to reading, dialogue, collaboration, and physical activities?

• Transparency of Explanation and Data
  Can parents grasp the progress and issues? Is there an explanation about the handling of children's data?

These questions are not intended to hinder the introduction of AI. They are questions to connect the advantages of technology to learning for that child.

The Value of Schools Also Appears When Children Don't Understand

The attention on Alpha is backed by the expectation to change the current education system. For children who can't keep up with the pace of uniform classes or want to spend more time on activities of interest, new options are valuable.

On the other hand, the greater the expectation, the more careful the explanation of results needs to be. Behind the easily understandable numbers like "two hours" and "twice," we want to verify what kind of learning is happening and which children are struggling.

The value of a school is not only seen in the grades of children who progress smoothly. It also appears in the kind of support provided when answers are not forthcoming, when motivation drops, and when children can't ask for help themselves.

If education is to be changed by AI, that change should be evaluated not only by the speed of learning but also by the reliability of support until the child understands.

Sources and References

1. The New York Times:
   Report by Dana Goldstein on October 23, 2026. Source of information on the school's system, scale, software introduction to public schools, and doubts from parents and educators.
   https://www.nytimes.com/2026/10/23/us/alpha-school-ai-education-parents.html

2. Alpha School Official: Explanation of the Educational Program
   The school's claims of "learning twice as much in two hours," learning according to mastery levels, and activities dealing with practical skills. Not independent proof of effectiveness but referenced as the school's explanation.alpha.school
   https://alpha.school/the-program/

3. Alpha School Official: Role of Guides
   Confirmation of the explanation that adults are responsible for supporting motivation and emotions and instructing in life skills.alpha.school
   https://alpha.school/

4. Reddit・r/AustinParents: Discussion in the Parent Community
   Summary of expectations for learning at an individual pace, voices seeking real experiences, and doubts about success stories and tuition fees. Anonymous public posts, not recognized as the actual state of the school.updated thoughts? : r/AustinParents
   https://www.reddit.com/r/AustinParents/comments/1o0hv4s/alpha_school_updated_thoughts/

5. Michael Horn's LinkedIn Post: Points on the Suitability of Educational Models
   Views on the relationship between home environment and outcomes, the depth of learning, and the range of children targeted by new educational models.LinkedIn
   https://www.linkedin.com/posts/michaelbhorn_alpha-school-has-attracted-plenty-of-attentionand-activity-7508532459097976832-kHRN

6. Ministry of Education, Culture, Sports, Science and Technology: Guidelines Ver.2.0 for the Use of Generative AI in Primary and Secondary Education
   Reference to the human-centered approach, consideration for developmental stages, and emphasis on deep understanding and the ability to make one's own judgments.mext.go.jp
   https://www.mext.go.jp/a_menu/other/mext_02412.html