Turn lecture capture and course video into discussion, assessment and insight in Canvas, Moodle, Blackboard or Brightspace. No new platform for faculty, one login for students.
Campuses solved video access years ago. Engagement is the part still missing.
Every course video shows where attention drops, where students rewatch and who needs a nudge, per video and per student.
From flipped classrooms to fully online programs, on the video you already have.
Pre class video becomes preparation that happens, with discussion faculty can join.
Learn more →Regular and substantive interaction, documented by design on every video.
Learn more →Students submit performance video and get time coded feedback with rubrics.
Learn more →Spot disengagement early with attention and comprehension signals.
Learn more →LTI 1.3 for Canvas, Moodle, Blackboard, Brightspace, Open edX and more. Faculty keep their workflow.
Kaltura, Panopto, YouTube, Vimeo or uploaded files. Lumo AI drafts questions and summaries in minutes.
Scores sync to the gradebook, and analytics show which moments to revisit in the next class.
Student data handled to FERPA standards, GDPR with a data processing agreement, and a player built to WCAG 2.1 AA.
Connect once and use Annoto across every course and video library.
In an online class, Annoto accomplishes many of the same goals for discussion as an in person class. I highly recommend it to other instructors!
It is course or lecture video with discussion, questions and prompts placed on the timeline. Students respond as they watch, and instructors see participation and understanding for every video.
Yes. Annoto connects through LTI 1.3 to Canvas, Moodle, Blackboard, Brightspace and other LTI platforms, and can also run on any web page. Grades and completion sync to the gradebook.
Yes. Annoto adds its engagement layer to Kaltura, Panopto, YouTube, Vimeo and other hosts, so your existing video libraries stay where they are.
Time stamped instructor feedback, discussion and graded checks on every video document regular and substantive interaction, and the records can be exported for review.
Yes. Students record or upload video, and instructors and peers leave time coded feedback with rubrics. It suits clinical skills, presentations and teaching practice.
True or false and multiple choice questions appear at the moments you choose. Students answer as they watch, and scores can go straight to the LMS gradebook.
Watch progress, attention and comprehension by moment, quiz results and discussion activity, per student and per video, with export for program review.
Yes. The player is built to WCAG 2.1 AA, student data is handled to FERPA standards, and a GDPR data processing agreement is available.
Universities solved video access years ago: lecture capture, media portals, recorded seminars. What most have not solved is engagement: students watch alone, at speed, with no way to ask, answer, or check themselves. In hybrid and fully online programs the problem compounds, because video is the primary contact with teaching, and it is silent. Annoto turns that solitary viewing into active learning by adding a collaboration layer to the video infrastructure your campus already runs.
Time-anchored discussions let students ask questions at the exact moment of confusion and see classmates' threads in context. In-video quizzes, polls, and reflection points break long recordings into cycles of watching and doing, the pattern decades of pedagogy favor and passive capture ignores. Faculty add these elements to existing recordings in minutes, with auto-generated quizzes and the Lumo AI copilot carrying much of the preparation load.
Annoto deploys through LTI 1.3 into Canvas, Moodle, Blackboard, Brightspace, and Open edX (or a lightweight API where there is no LMS) and works on top of Kaltura, Panopto, Wistia, YouTube, and Vimeo. Students get one consistent way to engage with video in every course, regardless of which department produced it, and grades from video activities flow back through gradebook sync. Central teams manage a single integration instead of a patchwork of course-level tools.
Attention and comprehension analytics reveal which segments students re-watch, where they abandon recordings, and how engagement varies across courses and programs. Teaching centers use the data to target support; retention teams read fading engagement as an early signal weeks before grades move; institutional researchers pull analytics export into their own models. Video stops being a black box in the middle of the curriculum.
Institutions worldwide, among them NYU, Georgia Tech, Florida State, and the University of Padova, use Annoto to make video a place where learning visibly happens. The integration is one LTI 1.3 deployment; the change in how students experience recorded teaching is campus-wide. Start with one faculty, prove it with analytics, and scale what works.
Part of what makes a campus-wide layer viable is that disciplines use it differently without configuration forks. Engineering and mathematics courses lean on in-video quizzes to keep problem-solving lectures honest: watch a worked example, then produce the next step yourself. Humanities seminars use time-anchored discussion to practice close reading on recorded material, arguing about a passage at the moment it appears. Language programs pair notes with repeated listening. Health sciences use peer review on student-recorded clinical skills, with feedback pinned to the exact seconds of technique under discussion. Business schools run case debates in the discussion layer before class so the live session starts at the disagreement rather than the summary. One integration, one student experience: many pedagogies, each visible to its own department in its own analytics.
Campus adoption tends to follow an academic calendar, not a project plan. Before the fall term: the LMS team completes the LTI 1.3 setup and the teaching center recruits a first cohort of instructors (ideally across three or four departments, not one, so the evidence generalizes). During the term: those courses run normally while attention and comprehension analytics accumulate. Between terms: the teaching center reviews the data with the pilot faculty, writes up what changed, and lets the write-up recruit the next cohort. By the second year the conversation has usually inverted, with departments asking to join rather than being asked. This is the pattern reported by institutions like Weber State, Bentley University, and Nova Southeastern among the 200-plus using Annoto today.
Two groups decide whether campus video engagement becomes routine. Teaching assistants, who often carry day-to-day moderation in large courses: give them explicit norms (what to answer, what to leave for the professor, what to escalate), and the activity feed makes their pass through a course efficient. And skeptical faculty, whose first questions are predictable: how much work is this, who controls my course's comments, and what happens to my content? The workable answers (minutes per week once running, the instructor entirely, and nothing, since video stays on your existing platforms) land best when a colleague from their own department gives them.
If you evaluate Annoto for a university, bring the hard cases: the 300-student introductory course where moderation load worries faculty, the multi-section course where sections must not see each other's discussions, the program where accreditation review will ask for evidence of engagement. Ask to see each one handled on screen inside your own LMS. The technical documentation at docs.annoto.net answers the integration questions in advance, which leaves the demo free for the questions that actually decide adoption: what will our instructors do with this, and what will it show us about our teaching that we cannot see today?
See Annoto running on your own course, in your own LMS.