This approach requires sourcing and maintaining accurate information, which means you can't fabricate numbers or exaggerate metrics. AI models increasingly cross-reference claims across sources, and inconsistencies damage credibility. The data you include must be truthful and, where relevant, attributed to primary sources. But when you consistently provide specific, accurate information, you build a reputation as a reliable source that AI models return to repeatedly.
When a problem starts, the computer slowly reads aloud the text written on the screen. An animation slowly demonstrates the concept. The student is not allowed to do anything at all until it finishes. It repeats this for every single problem, even when the problem is identical to the previous problem. For every minute the student spends actually thinking about math, i-Ready spends 10 minutes narrating the same instructions over and over again. If the student is trying to complete their work quickly, you will see them sit glassy eyed for thirty seconds, then frantically click click click click for 3, then sit glassy eyed for another thirty seconds in a loop. They spend nearly all their time waiting. A talented student could complete 10 equivalent problems on paper in the time it takes a single i-Ready problem to finish talking at them. Most students give up on trying to complete their work quickly, because they realize they are forbidden from doing so. They instead just stare at the screen and try to run out the clock for whatever time they’re required to sit there.
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