IXL and Khan Academy are two of the most widely used learning platforms in K-12 education. IXL tracks mastery across thousands of math and language arts skills. Khan Academy covers everything from arithmetic to AP-level coursework, pairing video lessons with adaptive practice. Between them, they're in the routine of millions of students every day.
But both platforms share the same limitation: they can tell a student when an answer is wrong, but they can't explain why the student's thinking went wrong. That explanation requires someone who can see the problem, understand what the student tried, and ask the question that points them in the right direction.
That's the gap Pengi's Chrome extension for IXL and Khan Academy is designed to fill.
The Problem with Getting Marked Wrong Repeatedly
IXL uses a SmartScore system that rewards correct answers and penalizes incorrect ones. For a student who doesn't understand a concept, this creates a demoralizing loop: try something, get it wrong, watch the score drop, try again without understanding what changed, get it wrong again.
A student can spend forty minutes on a single IXL skill — clicking through problems, guessing, correcting, watching the score oscillate — and come away no closer to understanding the underlying concept. The platform shows them their accuracy. It doesn't show them their misconception.
Khan Academy practice has similar dynamics. A student gets a problem wrong and sees a hint or worked solution. But "seeing the solution" and "understanding why you got it wrong" are different things. The worked solution shows the path. It doesn't diagnose why the student's path diverged.
What Pengi Can See
Pengi activates as a Chrome extension on IXL.com and khanacademy.org. When a student is on a practice problem, Pengi reads the current problem state — the question, any numbers or variables present, and in some cases what the student has already entered — and uses that context to provide guidance.
This is different from asking a general AI chatbot for help. A chatbot requires the student to type out the full problem, describe what they tried, and wait for a response that may or may not be calibrated to their level. Pengi is already looking at the problem. It can start with something specific.
For a student stuck on an IXL fraction problem, Pengi doesn't open with "fractions involve numerators and denominators." It opens with something like: "What's the first step when you're adding fractions with different denominators?"
That question is informed by what's on screen. It's the question a tutor sitting next to the student would ask.
The Socratic Method on Practice Platforms
The pedagogical approach Pengi uses is the same across IXL, Khan Academy, and every other platform it supports: ask questions rather than give answers.
Here's what a session might look like for a student stuck on a Khan Academy algebra problem:
Student: I don't understand this equation. I keep getting it wrong. Pengi: What have you tried so far? Student: I subtracted 3 from both sides but then I don't know what to do. Pengi: Good start. What's left on the left side after you subtract 3? Student: 2x. Pengi: And what does that mean 2x equals now? Student: Oh — 10. So x is 5.
The student arrives at the answer through their own reasoning. Pengi didn't solve it; Pengi asked the question that made the student's existing knowledge click into place.
This approach is particularly valuable on IXL, where students often have the procedural steps memorized but lack the conceptual understanding to apply them correctly when a problem is phrased differently. Pengi's questions slow them down enough to think about why each step works, not just which step comes next.
Voice Support for Active Problem-Solving
One practical advantage of Pengi's voice interaction is that it fits the rhythm of working through practice problems. When a student is actively calculating — working through steps on paper, entering values into IXL, watching a Khan Academy hint unfold — stopping to type a question to an AI chatbot breaks concentration.
With Pengi's voice support, a student can say "I don't understand what to do next" while their pencil is still on the paper. The response comes back in seconds. They can stay in the flow of working the problem rather than switching contexts to ask for help.
Voice also lowers the barrier for younger students who find typing slow or frustrating. A ten-year-old stuck on an IXL third-grade multiplication problem shouldn't have to accurately type a math question to get help.
IXL: Skill-by-Skill Guidance
IXL organizes content by skill, with each skill covering a specific, well-defined mathematical or language concept. This structure pairs naturally with Pengi's ability to provide targeted guidance.
When a student is working on a specific IXL skill — say, finding the area of a triangle in fifth-grade geometry — Pengi can ask questions that are specifically calibrated to that concept. The extension sees the platform and the problem type, so the guidance isn't generic. It's aimed at the conceptual gap most likely to cause errors on that specific kind of problem.
The goal is to help students actually improve their SmartScore, not just by answering more questions, but by building understanding that makes the next similar problem easier.
Khan Academy: Connecting Video to Practice
Khan Academy's combination of video lessons and practice exercises creates a specific challenge: students often watch a video, feel like they understand it, and then get the first practice problem completely wrong.
This is a well-documented learning pattern. Passive watching produces an illusion of understanding. The practice problem forces an active retrieval attempt — and that's where the real learning happens, if the student has someone to help them through the failure.
Pengi is that someone. When a student comes off a Khan Academy video and immediately gets stuck on the practice problems, Pengi can ask questions that connect what they just watched to what they're trying to do. "In the video, what did Sal say happens when you multiply both sides by a negative number?" The bridge between watching and doing is built through questions.
Who Uses This
The students who benefit most from Pengi on IXL and Khan Academy are the ones working independently — at home, after school, during study halls — when there's no teacher or parent available to answer questions.
This includes:
- Students assigned IXL practice for homework who get stuck mid-problem set
- Students using Khan Academy to catch up on concepts they missed in class
- Students preparing for exams who want to rework practice problems they got wrong
- Self-directed learners using Khan Academy to explore topics outside their current curriculum
The common thread is a student who is ready to work but hits a wall and has no one to ask. Pengi fills that role.
