TutorFlow includes built-in learning analytics so educators can see how learners engage with content over time and act on it, rather than only observe it. The data is collected from the lessons learners open, the quizzes and exams they submit, and their conversations with the AI tutor.
The classroom dashboard
The dashboard opens on an Overview:
| Section | What it shows |
|---|---|
| Ask the AI | A question box for the classroom's records, described below |
| Needs your attention | Quiz and exam answers waiting for your grade, and learners falling behind |
| Shortcuts | Learners, Courses, Tests, and Certificates |
| At a glance | Learner count, course count, total learning time, and unique lessons completed |
| AI tutor | AI conversations and messages, with links to the conversations and to Guided Learning |
| Charts | Daily learning time with a period toggle; Active learning time split across Content (reading the lesson), AI tutor (talking with the tutor), and Practice (quizzes and exercises), shown once there is any; and Course ranking by learning time, shown once the classroom has two or more courses |
Until the first learner joins, the dashboard labels the activity it shows as your preview activity, so your own test runs are not mistaken for learner data.
Per-course analytics
Each course has its own analytics with tabs for Overview, Quizzes, Exams, Lessons, Learners, and Submissions:
- Quizzes and Exams list submissions by lesson with correct-answer rates, let you open any learner's attempt, and hold the scores you give to open-ended answers.
- Overview flags the lessons with low completion alongside the learners who are behind.
- Lessons shows completion and learning time per lesson, which is where a lesson that loses learners becomes visible.
- Learners is the learner statistics table: progress, learning time, and last activity per learner, with the top learners by completed lessons.
- Submissions collects the work learners hand in through lesson submissions, with the AI-drafted feedback you can edit before sending.
The Analytics menu adds classroom-wide views for Learners, Courses, Tests, and Certificates.
Exports
Every statistics view has an Export button with two formats:
| Format | Contents |
|---|---|
| Excel workbook (.xlsx) | One sheet per section: Summary, Learners, Lessons, Quizzes, Exams, Courses, and per-learner lesson detail with content, AI tutor, practice, and active seconds |
| CSV files (.zip) | The same sections as separate CSV files |
Learner lists and submission tables also export as CSV on their own. Exports contain the raw numbers, not an AI narrative.
Ask the AI
Ask the AI answers questions about your classroom's records in plain language and returns the matching rows as a table. It reads this classroom's data only and changes nothing.
Ask things like:
- Summarize how this classroom is doing
- Who are the five learners furthest behind?
- Which learners have not studied for more than a week?
- Which quiz has the lowest accuracy?
- Has anyone finished a course without receiving a certificate?
Behind each answer is a fixed set of reports: classroom summary, learners, courses, learner progress, learning time by day, learner, course, or lesson, quiz results, course exam results, classroom tests, certificates, attendance, AI tutor usage, guided learning events, hand-ins, and inactive learners. The AI picks the report and the filters; you see which one it ran and how many rows came back.
Download any answer's table as CSV, Excel (XLSX), Word (DOCX), or PDF. The Word and PDF files carry the question, the answer, and the table, which is the quickest way to hand a progress summary to a colleague or a sponsor.
Each answered question costs 1 credit from your organization's AI Credit balance.
Using analytics as a feedback loop
Analytics are most valuable as a feedback loop, not a report card. The strongest workflow is:
- Publish content. Launch the course or program.
- Observe engagement. Check the Overview after the first week: learning time, completed lessons, and the split between content, AI tutor, and practice.
- Identify gaps. Open Needs your attention on the classroom, then the course Overview and Lessons tabs. Which lessons lose learners? Who has gone quiet?
- Take action. Follow up with learners who are behind, revise lessons with high drop-off, grade the submissions waiting for you.
- Repeat. The next cohort benefits from the improvements made for this one.
The goal is not to have good numbers. It is to use the numbers to make learning more effective.