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The 74 published an opinion article outlining five approaches to help students learn: make practice effortful, change ineffective study methods, revisit older material and use tutors or AI that prompt students rather than supply answers. The author also cites a 2025 study of about 1,000 high school students, but the article does not provide the study citation or its full methods.
The 74 has published an opinion essay in which a learning-software developer sets out five recommendations for helping students learn more effectively, including testing themselves, revisiting older material and using AI tutors that give hints instead of answers. The piece matters to parents and educators because it argues that study effort alone may not help if students use methods that build familiarity without teaching them to recall or apply information.
The author, who says he has spent about 25 years building learning software, frames effective study as work just beyond what a student can do independently. He calls this the “Learning Goldilocks Zone,” drawing on the concept of desirable difficulty. The essay’s central argument is that practice should require students to retrieve information, make attempts and correct errors, rather than simply reread material until it feels familiar.
The five recommendations are to recognize that knowing study advice does not automatically change habits; treat difficult practice and mistakes as part of learning; change study methods after poor results rather than simply increasing effort; return to older material to address gaps and support retention; and choose tutors or software that ask questions and offer feedback rather than immediately giving answers. The author says parents can help by supporting a change in method instead of blaming a student for struggling.
To support the point about AI, the author describes a randomized 2025 study of about 1,000 high school students. According to the essay, unrestricted access to GPT-4 improved performance during practice but reduced performance on exams, while an AI tutor that provided hints and feedback produced better results. The article does not supply the study’s title, researchers, publication venue or detailed results, so those claims cannot be independently evaluated from the material provided.
Study Habits and AI Tutoring
The essay speaks to a practical problem for families and schools: students can spend substantial time studying without retaining material or being able to use it in a different format. Its advice shifts attention from how long a student studies to what the student does during that time, and whether the approach reveals misunderstandings before a high-stakes test.
Its discussion of AI also highlights a distinction relevant to students, parents and educators choosing learning tools. A system that supplies answers may make practice feel easier, while one that asks the learner to attempt a response and then gives feedback may require more active work. The cited study, as summarized by the author, suggests these approaches can have different outcomes; the essay does not establish that all AI tools or all students will respond in the same way.
The author also challenges the assumption that falling behind reflects fixed ability. He describes helping students revisit missing foundations, but the essay is an individual account rather than a controlled evaluation of that intervention. Its broader relevance lies in encouraging adults to look for gaps and support students in testing a different method, not to treat one poor grade as a verdict on a child’s potential.
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From Study Software to AI
The author traces his interest in learning methods to a college experience in which he says he relied on rereading, highlighting and cramming. A pamphlet introduced him to turning notes into questions and answering those questions on different days. He says his grades improved, leading him to study learning science and develop educational software. He describes an early product distributed on a CD-ROM with a McGraw-Hill textbook, later followed by an app and AI-based tools.
The essay distinguishes familiarity from learning: seeing information repeatedly can make it feel known, but that feeling does not necessarily show that a student can recall, explain or apply it. The author says earlier flashcard systems his team built let students learn the cards yet did not prepare some of them for differently worded test questions. This experience informs his recommendation to use varied practice and review mistakes.
He also recounts working with high school students in special education classes who, he says, had accumulated gaps in math and English from earlier grades. The author reports that after the students revisited missing material and learned study strategies, they were performing at grade level eight months later. The source provides no independent records or further details about the students, so this remains the author’s account.
“If the work is too easy, the student learns nothing. If it is too hard, the student gives up or guesses.”
— The author of The 74 opinion essay
Evidence Behind the Advice
The source is an opinion article, not a research report or a formal review of study methods. It provides no publication date in the supplied material and does not identify the 2025 randomized study it describes. Details such as the study’s design, measures, duration, results and limitations are not included, making it unclear how broadly its findings apply.
The essay also does not provide evidence for every recommendation in the form of cited research. Its descriptions of students’ academic progress and the author’s earlier software projects are presented as personal experience. The article does not establish which strategies work best for a particular child, how much practice is appropriate, or whether the same approach suits every subject or learner.
Applying the Recommendations
The article offers no announced program, policy change or follow-up study. Its next step for readers is practical: parents and educators can examine whether a student’s study routine involves recalling and applying material, whether mistakes lead to useful feedback, and whether older topics are revisited when gaps appear.
For AI tools, the essay recommends checking whether a system prompts students to think and try again or simply supplies answers. Readers seeking to judge the cited research will need the study’s full citation and methods, which are not included in the source material. No further publication or research milestone is specified.
Key Questions
What are the five steps in the opinion article?
The author recommends recognizing that study advice alone may not change habits, using challenging practice, changing methods after poor results, revisiting older material and choosing tutors or AI that prompt students rather than provide answers.
What does the author mean by the “Learning Goldilocks Zone”?
It is the author’s name for work that is just beyond what a student can do alone: challenging enough to require effort, but not so difficult that the student gives up or guesses.
What does the article say about AI tutoring?
The author says a 2025 randomized study of about 1,000 high school students found different outcomes for unrestricted GPT-4 access and an AI tutor that offered hints and feedback. The source does not identify the study or provide its full methods and results.
Does the essay prove these methods will work for every student?
No. It is an opinion article drawing on the author’s experience and a study he summarizes. The source does not establish that every recommendation works for every student, subject or circumstance.
Source: the74million.org
