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Engagement metrics

The missing piece of
the engagement puzzle.

Universities have never been short of engagement data. Logins, attendance, and clicks all show that students are disengaging, but never where they are stuck or why. That insight has simply never existed.

Modality solves the mystery. It reads the tone of student conversations, from confidence through to confusion and struggle, and scores it topic by topic, so the places that need attention surface themselves while the cohort is still working on them.

Confusion & struggle by topic

TopicConfusionStruggle

Private by design

Student conversations are kept private. Lecturers only see cohort-level summaries, surfaced to help with the topics students are struggling with.

Real-time signals

Turn lagging metrics
into leading ones.

Most learning analytics arrive after the assessment, when it’s too late to help. Modality reads engagement as it happens: every signal, learning event, and crystallised fact, while there’s still time to support the students.

And because signals are read at the cohort and topic level, it supports students without watching over their shoulder.

Conversations, learning events, and crystallisation events (the moments knowledge locks in) for a cohort of 74, day by day.

From confusion to preparation

Walk into the lecture knowing
what confused them last week.

Dive into any high-confusion topic and Modality extracts what students were actually confused about, distilled from their conversations into notes for your next lecture.

Instead of a vague sense that “some students found it hard”, you arrive prepared for the specific misconceptions your cohort holds. Last week’s confusion becomes this week’s lesson plan.

Lecture prep notes

Kant’s categorical imperative · last 7 days

High confusion

Worth revisiting

  • The imperative keeps being read as a politer golden rule; the universalisability test is getting lost
  • Hypothetical vs categorical imperatives blur once examples get concrete
  • Treating people “as an end” is widely mistaken for simply being kind

Landing well

  • The contrast with consequentialism is solid across the cohort
  • Confident applying the means/ends formulation to everyday cases

Drawn from last week’s conversations across the cohort. No individual is singled out.

The engagement dashboard

Granular engagement metrics
in real time.

Learning velocity

809 facts progressed across 1,599 student messages · 0.51 facts/message overall

Assignment engagement

Free will essay · due 22 May

Study sessions

23m

average session length

Median session

18m

Total sessions

486

Sessions per student

6.8

A session is continuous activity with no gap longer than 30 minutes.

Activity mix

  • Tutor conversations46%
  • Recall practice22%
  • Mastery checks14%
  • Dynamic activities11%
  • Notebook7%

Cohort sentiment

Engagement
76/100
Affect
68/100
Confusion
34/100
Struggle
29/100

Across the whole university

Ask questions that were
classically impossible.

Because Modality understands engagement topic by topic, and understands the content itself, a question doesn’t stop at one module. Ask it once about recency, engagement, confusion, or coverage, and get an answer from every module at the same time.

It goes further: universities can define their own queries and their own rating scales, and Modality runs them against every module and returns a single custom report. Programme-level questions that used to take a semester-end review, or couldn’t be asked at all, come back in minutes.

How well does each module prepare students to construct and defend an argument?

Your query, your rating scale: Strong · Developing · Gap

  • Ethics · Year 2

    Argumentation practised in 9 of 12 topics

    Strong
  • Epistemology · Year 3

    Strong recall, little counter-argument work

    Developing
  • Logic · Year 1

    No essay-based engagement this term

    Gap

Showing 3 of 42 modules · one report across the whole school

Help students this week,
not next semester.