Hello Mason, can I try this. You can ping me access on my mail: manthandhotre17@gmail.com. It will be great if we catch up first on Google meet. How does it sound?
That's interesting. I think personalization is one of the biggest opportunities in education right now.
QUASAR is approaching a different part of the problem. Rather than tutoring, we're focused on precision assessment and feedback.
The question we're obsessed with is: after a student answers, can AI accurately identify what they truly understood, what they partially understood, and what misconceptions are still present?
We're starting with IGCSE Biology and trying to make feedback feel more like a strict-but-fair examiner than a generic AI tutor.
How are you thinking about personalization? Adapting explanations, pacing, content, interests, or something else?
thank you i want more
Im actually working on AI tutor, I would love to let you try it out for free and hear your thoughts
Hello Mason, can I try this. You can ping me access on my mail: manthandhotre17@gmail.com. It will be great if we catch up first on Google meet. How does it sound?
That would be great, i’ll send you some details and we can also speak about a time for a google meet.
Interesting.
I'm building QUASAR in the education space as well, but from a precision-assessment angle rather than tutoring.
Curious: What problem are you optimizing for most right now?
Explanation, personalization, motivation, assessment, feedback, or something else?
Would love to learn more about how you're approaching it.
personalization my goal is to make learning seem less, tell me some more about quasar
That's interesting. I think personalization is one of the biggest opportunities in education right now.
QUASAR is approaching a different part of the problem. Rather than tutoring, we're focused on precision assessment and feedback.
The question we're obsessed with is: after a student answers, can AI accurately identify what they truly understood, what they partially understood, and what misconceptions are still present?
We're starting with IGCSE Biology and trying to make feedback feel more like a strict-but-fair examiner than a generic AI tutor.
How are you thinking about personalization? Adapting explanations, pacing, content, interests, or something else?
Useful resource.
But one thing education will eventually have to separate is:
Prompt quality ≠ learning quality.
A student can write an excellent prompt and still not understand the subject.
The next challenge is not only teaching students how to get better AI outputs.
It's helping them verify, explain, apply, and defend what they learned from those outputs.
That is where real understanding starts.