Analytics – teacher's guide

1 What Analytics is

Analytics (Course statistics) gathers the students’ performance data into a visual summary. You choose one or more courses, and the app calculates key figures, draws charts and shows tables. The view is divided into three tabs: Overview, Tasks and Students.

Analytics→ Choose courses→ Filter→ Overview / Tasks / Students

The data is fetched from the cloud for the selected courses. You can combine the statistics of several courses in the same view for comparison. For path courses (learning path), skill level analytics (TT, section 6) are also shown.

2 Course selection and filters

At the top you choose courses by clicking their name chips. Quick selections make this easier: Select all, Clear and (if there are path courses) Path courses only. Below the selection is the filter bar.

Course chips (selected ones highlighted), quick selections, the filter bar and the three tabs. (Mock-up courses.)

Filters

Status – All states / Completed / In progress.
Points – All scores / Under 50% / Under 75% / Over 90% (by the student’s average score level).
Search students... – narrows by name or student number.

The filters affect all three tabs at the same time – for example, “Under 50%” shows only the weaker performers in all statistics.

3 The Overview tab

The Overview shows five key figure cards and two charts: a completion status ring chart and a cumulative progress line chart.

Five KPI cards + the completion ring and cumulative progress. (Mock-up figures.)

Key figures

👥 Students – how many students there are on the selected courses (after filters).
✅ Completed – those who have completed the course (all tasks and quizzes passed; a task graded as approved or rejected only once approved), with the percentage in brackets.
⏱ Avg time – the average course duration of those who completed it.
⭐ Avg score % – the average task score relative to the maximum. Tasks graded as approved or rejected are not included (they give no points).
🎓 Quiz pass % – how many passed the quizzes on their best attempt.

On path courses, the overview also shows the TT level over the path timeline, which shows how the skill level (median ± range) changes as the path progresses.

4 The Tasks tab

The Tasks tab analyses individual tasks: horizontal bars of the average points and a sortable table. At the end are additional analyses of quizzes, essays and forums.

Horizontal bars + the sortable task table. Colours: green ≥75 %, yellow ≥50 %, red below 50 %. (Mock-up data.)

Task table columns

Avg % – the average points relative to the maximum (the colour shows the level).
Avg points / Max points – the raw average points and the task’s maximum.
Pass rate – how many got at least 50 % of the maximum (not the same as the average).
Tasks graded as approved or rejected – do not count towards the point averages and are not shown in the bars. On their row the Max points column says Approved / rejected, and Pass rate shows the share of submissions you have approved (e.g. 57.1% (approved 4/7)).
Avg time, AI hints, AI reviews – shown on path courses: time on the task and how many AI hints and reviews the students asked for.

Click a column header to sort the table; ⓘ explains the column. The tab also has a Time vs score bubble chart (bubble size = number of AI hints) and, on path courses, a per-group analysis.

Quiz, essay and forum analysis

Quiz analysis – pass rate bars and a table (students, attempts, pass %, average score %, completion times).
Essays – submission rate, average points, approval rate (an essay graded as approved or rejected has no points).
Forums (required) – required threads/replies, the share of students who completed them and averages.
Alaia tasks – for every Alaia task on the course: 📌 required or not, students who have done it (done = at least one attempt), the share who have done it, the average best result as a percentage and attempts per student who did it.

5 The Students tab

The Students tab lists each student as a row. The row shows the average points, the status of tasks and quizzes and the completion status. The arrow (▼) expands the row to show details.

The student table. A row opens a detail view that also includes the history of TT level changes. (Mock-up names and numbers.)

Expanded student view

Tasks – each task with its points (%, raw points, max, time); for a task graded as approved or rejected, its status (Approved, Needs revision, Rejected or Awaiting grading).
Quizzes – results per attempt (score %, duration, pass ✅/❌).
TT history – on path courses, the skill level changes: time, old TT, change (+/−), new TT and reason.
Essays and forums – status of the submissions (e.g. Approved, Needs revision, Rejected) and points.
Alaia tasks – every task (📌 = required): done ✅ / not done ❌, best result as a percentage and the number of attempts.

When privacy mode is on, the students’ names are replaced with pseudonyms and the numbers are masked in this view too.

6 TT level and CSV export

TT level (Task Tolerance)

On path courses each student has a TT level – their current skill level on a scale of 1–9, which determines the difficulty of the tasks they are shown. The level is updated as they complete tasks, and analytics shows it colour-coded:

1–3 Easy
4–6 Medium
7–9 Hard

The overview timeline shows how the TT level develops for the whole group, and the student’s expanded view shows the individual’s TT history.

CSV export

The 📥 Export CSV button in the top right corner exports the view’s statistics to a CSV file, which you can open, for example, in a spreadsheet for further processing or archiving.

Note: the statistics are calculated according to the selected courses and the active filters. If a key figure is shown as a dash (–), that data is not available for the selected set (e.g. no timing data or no quizzes).

📈 See also: Tracking students →