Plain-language definitions for the terms that shape how video becomes an active, assessed part of your course, from in-video quizzes to engagement analytics.

When a campus adopts in-video collaboration, faculty, instructional designers, IT administrators, and procurement all end up in the same meetings — and they often use the same words to mean different things. Is a "quiz" graded? Is a "comment" public? What exactly counts as "engagement"? This glossary exists so those conversations start from shared definitions. Precise vocabulary makes course design faster, RFPs clearer, and analytics discussions far less confusing.
A time-anchored discussion is a conversation pinned to a specific moment in the video, so a question about minute twelve lives at minute twelve. A reflection point is a prompt that pauses playback and asks learners to think or respond before continuing. In-video quizzes, polls and reactions, and peer review are all interaction types layered onto the player itself, while group chat and the activity feed carry the conversation across the whole course.
Attention analytics describe how learners actually watch — where they linger, skip, and rewatch. Comprehension analytics connect that behavior to responses on quizzes and reflection points, showing not just who watched but who understood. Completion and gradebook sync passes results into your LMS gradebook through LTI 1.3, and analytics export moves the underlying data into your institution's own reporting tools.
An LMS integration means Annoto runs inside Canvas, Moodle, Blackboard, Brightspace, or Open edX as part of the course, not as a separate destination. A video platform integration means it works on top of Kaltura, Panopto, Wistia, YouTube, or Vimeo without re-hosting your media. The Lumo AI copilot is Annoto's purpose-built education assistant, which drafts quizzes, generates summaries, and surfaces insight from course activity.
The full glossary below defines these and many more terms in alphabetical order. Use it when writing an RFP, onboarding new faculty, or aligning a course team on what to measure — and if a term you need is missing, tell us. This vocabulary grows the way the field does: through educators asking precise questions in real courses. For deeper technical definitions and integration terminology, the documentation at docs.annoto.net picks up where this page leaves off.
A formative video assessment checks understanding while learning is still in progress — a short question inside the video whose purpose is feedback, not a grade. Its counterpart, summative assessment, happens after the fact and usually carries points. A mid-video check is the simplest formative form: playback pauses, the learner answers, and the course moves on. Question timing matters as much as question wording here, which is why instructors talk about placement — the practice of positioning a check immediately after the concept it tests rather than at the end. Auto-feedback refers to the explanation a learner sees the moment they answer, turning a wrong response into a teaching moment instead of a lost point.
An attention heatmap is a visual overlay showing which seconds of a video were watched most and least across a cohort — bright bands mark heavily rewatched passages, gaps mark skipped ones. A drop-off point is the timestamp where a meaningful share of viewers stops watching; a rewatch spike is the opposite signal, a moment learners return to repeatedly, often because it is difficult or dense. Watch rate describes how much of a video an individual actually played, while completion tracking applies a threshold to that number — for example, counting a video complete at ninety percent viewed — and records the result. Passive viewing means playback without interaction; active viewing means the learner commented, answered, or took notes along the way, which is the behavior in-video tools are designed to increase.
Instructor presence is the visible participation of a teacher inside the video conversation — answering questions at the timestamp where they were asked, endorsing strong peer explanations, and setting the tone in the first week. Moderation covers the controls behind that presence: editing or removing comments, closing threads, and deciding whether learners may post anonymously. Anonymity itself is usually a per-course setting; some faculty enable it to lower the barrier for shy students, others require names to build accountability. Notes are private annotations a learner keeps for themselves at specific timestamps, distinct from public comments, and AI summaries condense either one — a long discussion or a full set of notes — into a short recap the learner can review before an exam.
LTI 1.3 is the current interoperability standard that lets Annoto launch inside an LMS with secure authentication and grade passback; LTI 1.1 is the earlier version, still supported for platforms that have not migrated. Gradebook passback is the mechanism that writes a completion or quiz result into the LMS gradebook column automatically. A CSV export is a downloadable snapshot of activity data for analysis in a spreadsheet, while an API export delivers the same data continuously to institutional dashboards. These are the terms procurement and IT teams reach for first in any evaluation.
Video enriched with clickable, in-player elements like quizzes, comments, or annotations, so learners can respond and engage while watching rather than only viewing passively.
A short, scored question that appears at a specific timestamp within a video, checking understanding of the material just shown before the learner continues.
A low-stakes check for understanding, such as an in-video quiz or reflection, used to monitor learning and give feedback while a course is still in progress rather than at its end.
A comment, note, or quiz question anchored to an exact moment in a video's timeline, so feedback and discussion stay tied to the specific content being viewed.
Data on how learners interact with video (attention heatmaps, completion, drop-off, and comprehension) that shows instructors where students engage or disengage.
A structured viewing experience where instructor-placed prompts, questions, or annotations direct learners' attention to key moments as a video plays.
Learning Tools Interoperability 1.3, the current 1EdTech standard that lets an external tool like Annoto connect securely to an LMS such as Canvas, Moodle, Blackboard, or Brightspace.
Describes a tool that layers onto any existing video or video player without requiring content to be migrated, re-hosted, or re-encoded first.
A learning technique of actively retrieving information from memory, such as answering an in-video quiz, rather than passively re-reading or re-watching material.
Learning that happens through interaction with peers and instructors, such as discussion threads, comments, and peer review attached directly to video content.
Recording whether and how much of a video a learner has watched, often synced back to the LMS gradebook as part of course progress.
Recording a short video response and posting it as a comment, allowing learners and instructors to reply to video content in kind rather than with text alone.
A teaching framework built around offering multiple means of engagement, representation, and expression, so video-based learning is accessible to the widest range of learners from the start.
A structured process where learners assess or comment on each other's video submissions or contributions, often guided by instructor-set criteria.
These are the building blocks Annoto uses to turn ordinary video into an active, assessed part of your course.
Each core concept now has its own in-depth page — definition, research, and how it works in practice.
See in-video quizzes, engagement analytics, and Lumo's AI-generated assessments in action, inside your own LMS, CMS, or any site.