Video feedback for students that they actually watch and revise from

Record yourself reviewing student work on screen. Get back a captioned, polished video feedback for students clip in minutes — smart-zoomed on the paragraph you're discussing, captioned for the dorm-room mute crowd, ready for SpeedGrader.

Or pick a video type to get started

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I typed 400 words on her thesis. The comment thread says she opened the file for 11 seconds.

  1. Sunday 9:14am

    Open the SpeedGrader queue. Thirty essays on climate policy. Coffee on the desk. Plan: twenty minutes per student. Done by lunch. The first one comes in scattered — weak thesis, missing evidence, contradictory conclusion.

  2. 9:42am

    Eighteen minutes into student one. Type a paragraph about thesis structure. Soften it. Add an example. Realize the comment now reads as a wall of text. Cut, rephrase, cut again. The tone keeps coming out colder than you meant.

  3. 11:30am

    Student seven. Comments getting shorter. "See rubric" appears for the first time. The next essay has the same scattered argument as the last one — which you also wrote 200 words about, which the student also did not read.

  4. 2:14pm

    Student fifteen. You started recording a Loom out of frustration. It worked — three minutes, real voice, real care. But you have no captions, no zoom on the paragraph you referenced, and Canvas keeps showing 'video not supported' to half the cohort.

  5. Monday 8:02am

    Drafts come back. Three students fixed the thesis. The other twenty-seven turned in the same flawed argument with the same comma splices in the same paragraph. The feedback never landed because the feedback never got watched.

  6. +2 weeks

    Office hours. A student says, "You wrote a lot of comments but I wasn't sure what to do." You realize the typed feedback was for you, not for them. Every weekend you spend on it is a weekend that did not move the writing.

61%

of students in higher-ed studies say they prefer video feedback over written comments — but most instructors still type because the recording-to-LMS pipeline takes longer than the feedback itself.

And the next draft makes the exact same mistake I just spent an hour writing about.

From "she didn't open the comments" to "she rewatched the feedback twice"

The old way
Before ngram
The ngram way
After ngram

Sunday morning you type 18 minutes of thesis-structure feedback on one essay. By student fifteen the comments are short, the tone reads cold, and you have no way to tell whether anyone read past the grade letter at the top of the page.

Sunday morning you record a 3-minute walkthrough. ngram strips the umms, smart-zooms on the paragraph as you talk, burns captions, and exports a Canvas-ready MP4. The student watches the whole video. Replays the part about restructuring the second body paragraph.

Constructive criticism reads as harsh because text has no tone. You spend three more minutes softening the same comment, then another minute hedging it with "however," and the student still reads it as a personal hit and shuts down on the rewrite.

Your voice carries the warmth you meant. The student hears "this conclusion has the seed of a strong argument — let's pull it forward" instead of reading it as a cold note. They open the revision tab with momentum, not with their shoulders up.

The same comma-splice comment shows up on essay three of the semester, then again on essay five, then again on the final. The student never internalized it because they never read past the grade. Same mistake, three rounds of your weekend.

Video feedback for students lands once, sticks, and shows up in the next draft. Students watch, replay the smart-zoomed paragraph as they revise, and the comma-splice note doesn't return — the next paper is the new problem to solve, not the old one repeated.

Time per essay
Under 4 min
was: 15-20 min typing + softening
Watch-through rate
8 in 10
was: 11-second opens, then close
Captioned + accessible
Automatic
was: Manual SRT or skip it
Update one note
Under 90 sec
was: Re-record the whole take

Video feedback for students from however you grade today

Bring SpeedGrader open with the essay loaded, or just open your camera and talk. ngram polishes both into the same Canvas-ready feedback clip.

1Path one
Drop a SpeedGrader recording
.mp4 · .mov · 4:12

Talk through their paper on screen

Pull the student's submission up in SpeedGrader, Google Doc, or your annotation tool. Hit record and walk through it — point at the scattered thesis, the missing citation, the paragraph that already does the work. ngram smart-zooms on what you reference, cuts the pauses, burns captions, and exports an MP4 ready for the comment field.

Screen Recording to Video
2Path twoFor qualitative notes
Record a 3-minute walkthrough
talking-head · 1080p · captioned

Or face-to-camera for the qualitative note

When the feedback is about voice, structure, or the next milestone, skip the screen share. Talk to the camera the way you would in office hours. ngram tightens the cut, applies the institution's brand colors and font, and adds captions so the student watching on the bus still hears the encouragement under the critique.

Audio to Video
ngram

One polished video feedback for students clip

Smart-zoomed on the section you mentioned, captioned for the mute crowd, branded to your course, and small enough to drop into Canvas SpeedGrader or a Google Classroom comment.

smart zoomscaptionsbrand kit

Already recorded a stack of Looms last semester? Run them through Audio to Video or Screen Recording to Video first — the polish pass is identical.

What changes when video feedback for students fits inside a Sunday

Every student gets the office-hours version

Top change

Four minutes per student, not twenty. The whole roster gets the warm, specific, paragraph-pointing feedback you used to save for the three students who came to office hours. The other twenty-seven get it too, on the same Sunday, in the same SpeedGrader thread.

Studies on multimodal feedback report video feedback gets watched roughly 4× longer than written comments get read, and students report higher perceived instructor care after a video note.

Critique that lands warm

Your voice carries the tone the typed comment loses. Students hear encouragement under the redline and open the revision tab without their shoulders up — the rewrite reads as collaboration, not as a personal hit.

The same note doesn't return next paper

Video feedback for students lands once, sticks, and shows up in the next draft. The comma-splice note doesn't repeat on essay three, five, and the final — the next paper has new problems, not the old ones again.

Raw recording → SpeedGrader-ready clip in 3 steps

1

Record your feedback the way you'd say it out loud

3 minutes

Pull the essay up on screen or face the camera. Stumbles, pauses, the moment you scroll to find the right paragraph — ngram absorbs all of it. Talk the way you would to the student in office hours.

2

Review the polished cut

90 seconds

ngram cuts the dead air, smart-zooms on the paragraph you referenced, generates captions, and applies your institution's brand. Scrub the storyboard and adjust any beat before render.

3

Drop the MP4 into the LMS comment

instant

Export for Canvas SpeedGrader, Blackboard, Google Classroom, or grab a shareable link. The student gets the video right where they check the grade — no separate email, no plug-in install.

Built for the job

Built for video feedback for students, specifically

Explore all features
Built for educators

Who records video feedback for students at your institution?

All solutions

Explore more use cases

Other ways educators and L&D leads use ngram to ship video without giving up the weekend.

View all use cases
Starting from something else?

You don't need a fresh recording to send video feedback.

Bring whatever you already captured during the grading session. Each converter drops you into the same smart-zoom, caption, and brand-kit pipeline the SpeedGrader flow uses.

The rest of the toolkit

Every tool the feedback pipeline runs on.

All ngram tools

The old way vs. the ngram way

Written CommentsRaw Loom / Recordingngram
Time per essay15-20 min typing5-7 min rawUnder 4 minutes
Watch-through rate~11-second openHigher, but drop-off8 in 10 finish
Captions + accessibilityNative textNo captions by defaultAuto-captions, branded
Smart zoom on the paragraphN/AManual screen share onlyAuto on what you reference
LMS-ready exportNative fieldManual upload + size fixOne click to Canvas / Moodle
Integrations

Wire feedback into the grading flow you already run.

Each integration ships with a working template. Trigger a polished feedback video from an LMS submission, a grading queue, or a chat agent — or build your own with the REST API.

REST APIMCP serverWebhooksBuild your own integration in ~30 lines.

“But will it work for my situation?”

Still have questions?

Your next round of feedback is one Sunday morning away

Stop typing comments students close after eleven seconds. Record the office-hours version. Ship video feedback for students that gets watched, replayed, and applied in the next draft — starting this weekend.