San Diego School Spent $500K on Robot Tutors. Reading Science Disagrees.

What a San Diego charter chain just spent $500,000 on

Altus Schools bought two Ameca robots from British firm Engineered Arts. Each stands six feet two inches tall, with a dull gray silicone face designed to simulate emotion and exposed motors in the elbows and shoulders. The robots run on ChatGPT and shift between four educational “personas”: Sage the Teacher, Remi the Wellness Coach, Ari the College and Career Planner, and Lexi the Translator.

Cathryn Rambo, Altus’s dean of academic studies, wrote to families that the program was an “innovative opportunity for your student to participate in a research-based learning experience.” In a subsequent interview, Rambo added: “We didn’t even know in the first six weeks what Ameca can do, and we still don’t know all the different possibilities.”

An observed lesson in which two middle schoolers tried to learn about Nikola Tesla through the robot was described by Rambo herself as “clunky.” The robot spoke too fast; students asked it to repeat its introduction three additional times. One robot has already logged technical problems since the January launch. The most common word students use to describe the machines is “creepy.” No performance data has been collected; officials say there is no set deadline for the pilot’s end. “As long as we keep learning and iterating, we’re going to continue,” Rambo said.

Why the reading science points somewhere else entirely

The central problem here is not that the robots are unattractive or expensive. It is that engagement and instruction are not the same thing, and the gap between them is exactly where struggling learners get lost.

Cognitive scientist Mark Seidenberg’s research characterizes guessing-based approaches as descriptive of how poor readers read, not strong ones. Keith Rayner’s decades of eye-tracking research show that skilled readers process nearly every letter on a page; they build precision through systematic, targeted practice rather than filling gaps from context. The International Dyslexia Association’s 2025 definition made explicit that reading difficulties draw on multiple systems simultaneously: phonological processing, auditory processing, working memory, and processing speed. Shaywitz and Temple’s brain imaging studies at Yale and Stanford showed that the right intervention physically rewires reading pathways. “Right” means targeted at the specific system that is falling short. A ChatGPT conversation does not do that.

Wayne Holmes, a professor of critical studies of artificial intelligence and education at University College London, put it plainly: “There is no independent evidence at scale that the use of these tools is either effective or safe, or even have a positive impact on the classroom. What we are increasingly hearing are bits of evidence that demonstrate the opposite.” MIT’s Sherry Turkle was direct about what the hype conceals: “It’s not hallucinating, we are—by imagining that it’s going to solve problems that it can’t possibly solve. And that is about to do a lot of damage.” Neil Selwyn of Monash University, who spent decades studying technology in classrooms, called the physical robot “a show, a charade, a spectacle.”

Altus serves students who are disproportionately low-income, homeless, or living with disabilities. These are the students whose outcomes the right intervention would move most. The differential boost in special-education research is real: targeted support at the right moment lifts a struggling learner more than it lifts anyone else. That is a scaffold doing its job. A six-foot robot speaking too fast is not a scaffold. It is a spectacle funded by the students who needed a scaffold.

What this means for your child and what to ask your school

When a school announces an AI tool for students who learn differently, that announcement is an invitation to ask better questions. Three are worth putting directly to any administrator: What specific processing gap does this tool target? What does the independent research show about its effectiveness for students with this profile? And what would the same dollars have funded if spent on approaches that already have an evidence base?

Sherry Turkle noted that $500,000 funds tutors or community mentors who deliver the kind of responsive, targeted instruction that brain research shows actually changes outcomes. For children who struggle with reading or other learning differences, the most powerful lever remains an informed adult who knows which specific system to work on and how. A parent-facing screener identifies which processing systems are falling short before any program is chosen. A screener is a starting point, not a diagnosis. If your child needs formal accommodations such as an IEP or 504 plan, or you suspect a vision, hearing, or medical cause, a professional evaluation is the route to those supports.

The encouraging reality: the brain imaging research Shaywitz and Temple conducted confirms that children with reading difficulties who receive the right intervention develop the same reading pathways as typical readers. “Right” has specific ingredients. It does not require an impressive-looking machine.