
A recent article in the Chicago Tribune about a second Alpha School opening up in Chicagoland piqued my curiosity. I decided to do a deep dive into their programming and any research and evaluation I could find.
There are some features I love. I avidly support the small student/teacher ratio, the time devoted to life skills and real-world experiences, their project-based and problem-based learning, and the use of their mascot, Steve the Yet Yeti, to promote a “growth mindset” [the conviction that learners can grow and develop through hard work and learning from failures].
But we should be concerned about the level of self-promotion and lack of outside validation and the dependence on AI tutoring that marketing expert Edward Nevraumont says “is closer to ‘turbocharged spreadsheet checklist with a spaced‑repetition algorithm.’” (www.astralcodexten.com) Unbound Academy, for example, an Arizona charter school that claims to use the Alpha Schools curriculum, “projected 60% proficiency in math off a baseline of 34% and ended the year with 10% compared to an Arizona state average of 34%. They projected 65% proficiency in ELA off a baseline of 40% and ended with 28% compared to an Arizona state average of 42%.” (www.edweek.org)
Alpha Schools uses the NWEA MAP (Measures of Academic Progress) to measure progress. MAP uses a computerized adaptive that is adapts as each child progresses. It is not considered a standardized test, and “schools are allowed to modify their preferences when interpreting data
which can inflate scores and performance.” Their results are “based entirely on an internal analysis of NWEA MAP test data and haven’t been independently verified by third parties. Critics have also challenged the statistical methodology, alleging use of ‘inflated MAP growth ratios’ and ‘misused medians’ to produce impressive but potentially misleading results.” These concerns led the state of Pennsylvania to reject their proposal for a school there. (https://npec.colorado.edu) Van Schoales , a senior policy director at the nonpartisan Keystone Policy Center, warns that “The website is covered in figures suggesting that Alpha students are not merely doing better than students elsewhere but blowing the doors off them. No outside study supports any of it, and the MAP and SAT numbers are close to meaningless without knowing whether Alpha students are being compared with students of similar background. That comparison matters more here than usual: tuition runs as high as $75,000 a year, and every family in the building went looking for this school. (https://fordhaminstitute.org) Where is the evidence of their highly touted success?
Alpha Schools claim they can help students do twice [or now 2.6 times] the learning in only two hours each morning, though students often self-report needing more time than that. They say they accomplish this by depending on Artificial Intelligence [AI] tutoring with “guides” to help students. Is Alpha Schools dependence on AI tutoring for academics effective when most current research says it is valuable as a supplement rather than a replacement for instruction? If the AI programs are more like worksheets than Socratic dialogues, do they foster critical thinking effectively? What sort of training and preparation do the “guides” have? I could not find answers to these questions.
Educational neuroscientist Dr. Jared Cooney Horvath, author of The Digital Delusion: How Classroom Technology Harms OurKids’ Learning– And How to Help Them Thrive Again, argues that “If learning could truly be accelerated at the rates claimed by Alpha schools, then students would finish a complete K–12 education by the second year of elementary school – an obviously absurd implication. EdTech developers have long promised faster and easier learning. But speed and ease have never been the hallmarks of deep education. Real learning is slow, effortful, and deliberate.” He reminds us that covering content does not equate real learning. He defines learning at the effort to “‘think through knowledge’ and ‘transform ideas’. The time students spend revising ideas, debating them, and applying them across varied contexts is not wasted time.” (https://npec.colorado.edu)
Gerald LeTendre, an educational policy researcher at Pennsylvania State University, says that good tutoring is not equivalent to good teaching. “There’s no evidence in the literature that you can substitute a pure AI tutoring model and still achieve all of the multiple effects that one gets from studying in a classroom.” Indeed, a 2025 literature review of 28 studies that involved a total of nearly 5,000 K–12 students found that while AI-driven intelligent tutoring systems generally had positive effects, the advantage was negligible when compared with nonintelligent tutoring systems that also used active learning models without relying on AI. (www.scientificamerican.com)
Another article warns about the limitations of the teaching guides. “When a child hits a conceptual wall that requires a human to explain it differently—not replay a
video or serve up a parallel problem—the system breaks. Guides are facilitators, not subject-
matter teachers. Multiple parents describe guides who gave incorrect methods just to push
a student past a stuck point and keep their dashboard metrics looking clean.” (www.aifunlab.io)
The guides are “outsourced foreign contractors with no teaching background.” (https://terryu.stubstack.com)
We need to ask what the impact of a reliance on screens over human interaction is? Doctors and psychologists warn that overuse of technology can have damaging effects on young kids – and make teens more likely to suffer from social anxiety, low self-esteem and depression. “I believe it’s dangerous to wipe teachers from classrooms,” said Joe Vercellino, a Detroit Teacher of the Year and founder of The Lion Heart Experience, which brings mental health programming to schools. “What I worry about is what it will take away from our human development.” (https://nypost.com)
Stanford University Researchers at the Scale Initiative for Learning emphasize the importance of a strong student-tutor relationship “as an essential contributor to engagement and improved outcomes in high-impact tutoring. “o date, AI does not replicate human relationships. Most AI tutoring developers interviewed describe the goal as applying specific AI strengths rather than replacing human relationships.” (https://scale.stanford.edu)
I also question Alpha Schools’ use of extrinsic motivation and rewards. Students rack up Alpha Bucks by hitting daily academic minimums, mastering lessons, and turning in work on time. They buy rewards that actually matter to them: AirPods, Taylor Swift merch, snacks, or access to the lounge. They also offer the 100-for-100 to new students, paying students $100 for every 100% they make on the Texas STAAR test. (https://alpha.school/blog) Although extrinsic rewards may prompt desired behaviors, do they develop a lifelong love of and commitment to learning? Should learning be transactional? What will cause students to continue to learn when rewards are no longer part of the package?
The required Alpha Schools Bootcamp is notoriously stressful. Every freshman at an Alpha High School must complete a set of 18 challenges that the program considers essential life skills, like “selling an idea, speaking compellingly in public, teaching themselves something difficult, receiving critical feedback productively, working effectively with others, and doing demanding work without complaint.” Students must pass a test to show mastery, and they do have unlimited opportunities to succeed. (https://alpha-high-bootcamp.vercel.app/ But students in the bootcamp “are also required to pass an eyebrow-raising heart rate challenge, in which they’re hooked up to live monitors in front of their classmates and presented with a pre-recorded video of their parents berating them.” (https://futurism.com) Is that part of a humanitarian approach to education? What about the required social media posts that must achieve a minimum of 100 organic followers? (Ibid.)
If Alpha Schools students are indeed more successful academically than their peers in public schools, how much of that is due to the inherent self-selection? With a tuition range of $40,000 to 75,000 a year, aren’t their students likely to have stronger backgrounds and more drive to succeed? Doesn’t the high tuition self-select a student body that comes to school already advantaged, especially since under-performing students are invited to leave?
Despite all these red flags, Secretary of Education Linda McMahon promotes Alpha Schools. During a Fox Business interview, she said, “I certainly believe AI is definitely a tool used correctly, and I’ve seen it in action,” McMahon said in the interview. “I have visited the Alpha School in Austin, Texas, where they use AI for the first two hours every single morning… It is incredibly effective.” (https://truthout.org) She said she was very impressed by her visit to the Austin campus. (www.kxan.com) And in a CNN interview this summer, when Dana Bash asked her if Alpha Schools were a proper model, McMahon replied, “It’s working wonderfully.” (www.nytimes.com) Of course, this is the same cabinet member who once referred to artificial intelligence as A1, the steak sauce. She may be easily taken in, but I join the many educators who seek serious evaluation of Alpha Schools before we consider them the answer for the future of education.
Schools must change. They are not adequately addressing students’ needs, nor are they preparing them for the future. But let’s not jump to this model without more information…
we should be wary. There must be a better way.









