Live Session answers
Students complete a shared worksheet while the teacher sees answers update in real time. Worksheet answers can store item evaluations, mastery-like scores, audio answers, active time, and AI-evaluation state where supported.
1-Minute Prep is Edooqoo's workflow target for recurring students: move weekly prep toward one focused minute after student profile, goals, and learning signals exist. The worksheet generator is the output layer.
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Edooqoo stops treating each worksheet as a blank-page task. It keeps student context visible, then uses DSLM nano-skill evidence to suggest a focused next step before the worksheet is generated.
First setup builds the student context. Lesson activity adds evidence. Weekly prep uses that context, optional calendar timing, and DSLM evidence before the worksheet output layer.
Phase 1: One-time student setup
First setup is not the one-minute claim. It creates the student context that recurring prep can use.
Lesson-time signal capture
During the lesson, Edooqoo can capture useful signals without a separate logging session.
Phase 2: Weekly 1-Minute Prep flow
Weekly prep uses stored context to decide the next focus before material generation.
Optional when you use Edooqoo Calendar: confirmed booking time, lesson timing, and schedule context can inform the prep decision.
The teacher still chooses or edits the next focus before generating the worksheet output.
Each feature is one part of the same student learning loop: setup, DSLM decision support, lesson-time signals, and the next prep cycle.
Prep decision
Lesson signals
Turns selected lesson work into submitted answers, evaluations, and review context.
Tracks word/card-level vocabulary practice and SM-2 retention progress per student.
Lets students answer shared worksheets while the teacher sees lesson evidence in real time.
When the teacher uses Edooqoo during a normal lesson, teaching actions can add evidence for the next prep cycle.
Students complete a shared worksheet while the teacher sees answers update in real time. Worksheet answers can store item evaluations, mastery-like scores, audio answers, active time, and AI-evaluation state where supported.
The teacher can turn selected lesson exercises or generated follow-up exercises into homework and send it to the student. Submitted homework stores answers, item evaluations, mastery, AI-assisted review for supported open answers, and a homework_submitted event.
The teacher can add skill observations, goals, personal context, and next-lesson ideas during the lesson. Notes are stored as student knowledge entries and can be AI-classified with tags, nano_skill metadata, and mastery when detected.
The teacher can add vocabulary to flashcards and share sets with the student. Each word/card can act as a vocabulary nano-skill context item while student reviews update SM-2 retention progress, due dates, response time, quality rating, and mistake counts.
DSLM is not a single model file. It is a student-specific signal graph built from stored learner evidence. The value is not that Edooqoo makes a generic worksheet faster; the value is that each recurring prep cycle starts from goals, nano-skill evidence, pacing, roadmap context, and recent activity before the worksheet is generated.
Welcome Test items and worksheet exercises carry atomic labels such as grammar, vocabulary, writing, speaking, listening, and reading subskills.
Main goals, progress goals, target dates, and learning elements keep the next step tied to the adult learner outcome.
Scientific, balanced, or pragmatic pacing changes how much input, output, review, and domain context the next step should use.
Curriculum phases and existing suggestions stop each worksheet from becoming an isolated one-off task.
Live Session answers, homework, worksheet history, skill metrics, knowledge notes, and flashcard progress provide current context where available.
The teacher still selects, edits, approves, and teaches the material. DSLM supports the decision; it does not replace it.
The first student setup is a separate step. Edooqoo is designed to move recurring weekly prep toward one focused minute after profile, goals, notes, and learning signals exist. The teacher still chooses the focus, reviews the output, and edits before use.
Add the student, level, goals, profile notes, or Welcome Test results. This builds the starting context.
Use existing context plus recent signals to decide the next focus before generating the material.
Generate an editable worksheet with exercises, audio, images, and AI-assisted review where applicable.
The system works as a student-context loop, not a single worksheet prompt.
Profile, goals, CEFR level, Welcome Test data, lesson notes, and teacher observations.
Tagged questions, worksheet checks, homework evaluations, and teacher ratings create skill-level evidence.
Goals, deadlines, profile traits, and skill metrics shape the pacing mode and roadmap influence.
DSLM turns stored evidence into a next focus, exercise mix, rationale, and confidence context.
The teacher reviews or edits the suggestion, then generates the worksheet as the output layer.
Edooqoo still generates worksheets. The difference is that 1-Minute Prep treats worksheet generation as the final output after student context, DSLM nano-skill evidence, pacing, and teacher choice define the next focus.
No. First setup requires profile, goals, and student signals. Edooqoo is designed to move recurring weekly prep toward one focused minute after that context exists.
Yes. The generator is the output layer.
Best results require placement/profile/goals or lesson signals.
Yes, but recurring students benefit more because the model has more context.
No. Teachers review and edit before teaching or assigning.