Steps, not just answers
MATHia asks for each step of a problem, often in a table or a set of fields. The agent fills each step and reads MATHia's check before continuing.
MATHia breaks each problem into steps and tracks skill bars until you master a workspace. When MATHia is linked from Canvas, Silent Student works the steps and reads MATHia's feedback.
MATHia asks for each step of a problem, often in a table or a set of fields. The agent fills each step and reads MATHia's check before continuing.
MATHia flags wrong steps right away. The agent reads that feedback and tries again where MATHia allows it.
The agent has built-in handling for the common web math editors and types plain values directly into table cells.
Carnegie Learning can be linked into Canvas. The agent follows that link to your assigned workspace.
Typing an answer is not the same as the platform accepting it. After each entry the agent re-reads the live page, so an answer that did not take is caught and retried instead of counted.
A run that turned the work in and saw the platform's confirmation says so. A run that saved some answers and then got stuck is reported as partial, with the remaining part named, never as done.
Open the Silent Student desktop app, find the MATHia assignment in your Canvas course list, and queue it like any other.
The app follows the workspace's link out of Canvas and lands in MATHia. It does not ask for or type your password.
The vision agent reads each step from a screenshot and the page's controls, enters it, and reads MATHia's check before the next step.
It uses the platform's own submit or completion control and marks the run confirmed only when the platform shows it. If it had to stop early, the log says which part is still yours.
MATHia uses rich tools for graphs and diagrams. Those are where it struggles.
MATHia runs on the general vision agent, not a solver written for its interface, and we have not yet published a recorded run on it. Expect it to be less predictable than our dedicated platforms, and check the run log for what it did.
Plotting on MATHia's graphs or drawing on diagrams is the hardest type for a screen-reading agent. Expect runs to stop at those steps.
Skill bars move based on how you do, including hints and errors. The agent does not promise to master a workspace.
Hints and errors can slow your skill bars. The agent does not rely on hints, but its wrong steps count like yours.
Not guaranteed. MATHia decides mastery from your steps, errors and hints. If the agent stops on a step it cannot do, the log says where.
MATHia records each step, error and hint, and how long you spent, and your teacher can see it. Silent Student does not hide, disguise or fake any of that. It runs in a normal browser on your computer, signed in as you, and whether using it is allowed is decided by your class or school policy.
They are its weakest case. Graphing and drawing steps may stop the run; finish those yourself.
Any plan. Every plan includes the vision agent that works this platform; plans differ in monthly usage and in access to the advanced pro model. See the pricing page for details.
Queue the MATHia workspace from Canvas and check the skill bars later.
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Silent Student is not affiliated with, endorsed by, sponsored by, or certified by MATHia (Carnegie Learning, Inc.). MATHia and Carnegie Learning are trademarks of Carnegie Learning, Inc., used here only to describe the software this product works with. Silent Student promises no grade or academic outcome; you are responsible for reviewing what is submitted under your name and for your institution's academic-integrity policies.