By a 4-3 margin, the Arizona State Board for Charter Schools on Monday approved an application from Unbound Academy to open a fully online school serving grades four through eight. Unbound already operates a private school that uses its AI-dependent “2hr Learning” model in Texas and is currently applying to open similar schools in Arkansas and Utah.
Under the 2hr Learning model, students spend just two hours a day using personalized learning programs from companies like IXL and Khan Academy. “As students work through lessons on subjects like math, reading, and science, the AI system will analyze their responses, time spent on tasks, and even emotional cues to optimize the difficulty and presentation of content,” according to Unbound’s charter school application in Arizona. “This ensures that each student is consistently challenged at their optimal level, preventing boredom or frustration.”
Spending less time on traditional curriculum frees up the rest of students’ days for life-skill workshops that cover “financial literacy, public speaking, goal setting, entrepreneurship, critical thinking, and creative problem-solving,” according to the Arizona application.
This will be a nightmare for any neuro-divergent students, or really any student with atypical learning needs.
Atypical kids being left behind is a feature, not a bug. There’s a shocking amount of parents even in the year of our Lord 2024 who think we’re “too much” of a drain on schooling.
Theoretically, by analysing the exact needs, and being able to address them individually (in contrast to a teacher, who has limited time, and a whole class of students to attend to), it could do a better job. I mean the whole sales pitch of these systems is that they can attend to individual needs, and not just give you the material made for the average, “regular” student.
We’ll see if it turns out that way. I have my doubts. It needs to have training data about neuro-divergent students, and knowledge how to handle them. And usually AI reproduces bias and stereotypes. Edge-cases are more rare in the training data, and that makes AI less knowledgeable. And that happens a lot. Plus current AI is very limited. I’m not sure if it’s even smart enough to address individual needs. Or feed students with proper facts instead of fiction.
But I don’t think analysing the students behaviour is the issue here. If at all, it’s going to lead to improvements of those AI models, if they collect data about neuro-divergent people and feed them in.
Honestly the thing I’d be most worried about is that kids at that age are learning important social and language skills. Without an adult in the room to interact with, who are they going to learn that from?