Academic judgment, made visible.
Rocketproof runs AI-powered oral exams so instructors can verify that students actually understand their own work. Students submit, answer live questions, and get recorded. Instructors review the transcript, score the rubric, and release feedback. No extra meetings. No guesswork.
Instructor? Start with Faculty Pro.
Student submits work
Paper, slides, reading, or scenario, uploaded before the session starts.
AI generates questions
Rocketproof reads the submission and builds a targeted question plan.
Instructor reviews session
Transcript, recording, and rubric score in one place. Release when ready.
Runs inside your LMS
Rocketproof is an LTI 1.3 tool with Assignment and Grade Services and Names and Role Provisioning Services. Canvas is the platform we have verified end to end, from registration through a graded launch. If your institution runs a different LTI 1.3 platform, talk to us before you plan a term around it.
No video to press play on, no imagination required. This is the shape of every session: a question generated from the student's own work, a spoken answer, and a rubric score instructors can stand behind.
Question 1 · generated from the student's own submission
Your methods section says you used a paired t-test. Why was that the right choice for this design?
Spoken response
Because every participant was measured twice, before and after the intervention, so the samples are dependent, not independent…
A walk-through of how oral defenses work end-to-end on the platform: from the question plan Rocketproof builds, through a recorded session, to the instructor review surface where the rubric gets scored.
Doctoral programs have used the oral defense for a century because a written artifact can be produced without being understood. Rocketproof brings that method to an undergraduate section, and gives the instructor one review surface instead of a term of office hours.
Every paper upload, presentation delivery, and reading response becomes a defensible evidence trail. Instructors review the record. Students know the standard. Institutions keep the rigor.
Submission-only grading and honor pledges can't show you what a student understands. A recorded, source-aware oral defense can.
| Capability | Rocketproof | Paper only | Honor pledge |
|---|---|---|---|
Evidence of actual understanding | |||
Structured instructor review surface | partial | ||
Recorded transcript + audio/video | |||
Source-aware questioning | |||
Defensible audit trail | |||
Integrity monitoring controls | |||
Rubric-aligned scoring | manual | ||
Runs at full section size | |||
Nothing to schedule |
Papers, decks, reading passages, and scenario prompts all shape the question path before the session starts.
A 40-page thesis generates 12 questions tied to its argument structure and cited sources, not a generic question bank.
Transcripts, delivery clips, identity checks, and environment scan artifacts stay organized inside one review surface.
Instructors open one panel and see a 14-minute recording, full transcript, identity check result, and rubric scores side by side.
Enable only what matters: ID checks, environment scans, prompt leakage review, and anomaly alerts.
Enable ID check and environment scan for high-stakes finals; skip them entirely for low-stakes reading checks.
Source summaries, strengths, weak spots, hesitation patterns, and rubric scoring all in one review panel.
The AI flags "student hesitated on methodology questions" with a follow-up prompt the instructor can use immediately.
They are grouped by what you want a student to do, not by what they hand in. Every one of them produces the same structured evidence trail, so review stays consistent whichever you choose.
The student hands in work, then answers for it.
Students upload a paper or document, then answer oral-defense questions about it.
Students upload a slide deck, and the AI asks questions about the presentation itself.
The student shows what they know, without submitting an artifact first.
You provide the reading, and students defend their comprehension of the assigned material.
The AI examines the student, asking follow-up questions to probe understanding.
A live, open conversation with the AI about the student’s work or thinking.
A replacement attempt for a student who missed or must retake an assessment.
The student acts inside a situation, role, or conversation.
A conversation the instructor steers with a greeting, a scenario, a source and a goal, so the student is working toward something specific rather than talking freely.
Students work inside a situation you describe, responding as it develops.
The student does the questioning. Rocketproof plays a patient, client, witness or source, and the student has to get what they need out of the conversation.
A spoken conversation in the target language, assessed for fluency and accuracy.
The student takes a position, or evaluates another student’s work.
Students evaluate each other’s work and defend their assessment.
The AI argues a position and the student must respond and hold their own.
The student draws across several assignments, sources, or a whole term.
A final assessment built for each student from their own prior work in the course, rather than one paper every student answers.
The fast version of the overview, focused on the core product flow: watch a paper turn into a question plan, a student answer it, and the instructor review surface when the session lands.
Two minutes, no signup required.
Students upload the paper. Rocketproof builds a targeted defense plan. Instructors review the source summary and Q&A record together.
Deck upload, delivery recording, transcript capture, and deck-aware Q&A all in a single workflow.
Reading Assessment checks that the assigned text was read and understood. Set the discipline to Humanities and Literature and the same assignment presses on interpretation, textual evidence, and competing readings instead.
Branching scenarios, peer review, makeup attempts, and capstone phases are separate assignment types, not settings buried inside a paper defense.
Choose the workflow, attach the source, set difficulty, configure checks.
Students upload, complete checks, and move into the live defense flow.
Questions, transcripts, recordings, and signals captured automatically.
Read the summary, inspect the transcript, confirm the rubric, release what you approve.
From the moment an instructor creates an oral defense assignment to the moment they release feedback, Rocketproof carries the full evidence trail. Three real product views, in order, with no audio, a silent demo reel.
Instructors create an oral defense assignment, choose settings, select assignment types, and assign it to students.
Students receive the assignment, respond through the guided workflow, and submit their work for review.
Instructors review the student’s submission, transcript, AI-assisted analysis, and scoring support.
The questions your IT and compliance offices will ask, answered in plain language, not buried in a security PDF.
Student records are processed under your institution’s direction, consistent with FERPA. The full policy is public. No NDA required to read it.
Read the privacy policyStudents launch from the course they are already in, with no second password to remember. Grades pass back to the gradebook, and the roster syncs. Verified end to end with Canvas.
How the integration worksRecordings, transcripts, and integrity artifacts are stored behind signed access links, scoped by your retention settings.
Extended time, audio-only mode, typed responses, and question pacing, set per student or for the whole course. WCAG 2.1 AA is the standard the interface is built and audited against.
No. The platform prepares the questioning plan and draft analysis, but instructors review, adjust, and decide what gets released.
You decide, and the assignment builder shows you the estimate before you publish. It is calculated from the question count, the think time, and the answer window you set. A five-question defense with a two-minute answer window estimates at about fourteen minutes.
The recording, the transcript, the rubric scores with their rationales, the source summary, and any integrity artifacts the assignment enabled. Everything sits in private storage reached through signed links, and your institution sets the retention window.
Yes. Instructors can upload or recreate their rubric criteria inside Rocketproof. The platform maps rubric dimensions to session questions and scoring.
Yes. Text Conversation is available across supported assessment workflows and requires no camera or microphone unless an instructor independently enables an integrity check. Audio-only and camera-off options remain available through approved accommodations for spoken assessments.
Yes. Extended time multipliers, audio-only mode, and question pacing settings are all configurable per-student or course-wide through accommodations settings.
Rocketproof is an LTI 1.3 tool with grade passback (AGS) and roster sync (NRPS). Canvas is the platform we have verified end to end, from registration through a graded launch, and it is the one our setup guide walks through. Other LTI 1.3 platforms use the same standard, but we have not tested them, so talk to us before planning a term around one.
Yes. Use the Reading Assessment type and set the discipline to Humanities and Literature. The questioning then presses on close reading, textual evidence, and competing interpretations rather than on plot recall, and the instructor sets how deep it goes.
Sessions are recoverable. Students can resume from the last completed question within the session window. All captured data before disconnection is preserved.
Pricing scales with the course. Student seats are priced per semester pass, and department or institution licenses add volume discounts and centralized billing. Talk with us for a quote that fits your sections.
Join the waitlist for early access, explore the interactive demo, or request a department quote if you want students covered from day one.
