Pedagogical infrastructure

Turn lectures into learning systems.
Not just content.

LectureMinutes connects lecture recording, structured publishing, student interaction, and teaching analytics into a single closed loop — so every lecture becomes evidence you can act on.

The feedback loop

Five stages. One continuous loop.

Each stage feeds the next. Student confusion becomes a revision prompt. A revision becomes a new version. A new version gets a new DOI.

1

Record

Lecture → Transcript

Upload audio, video, or typed notes. AI transcribes and structures the content.

2

Publish

Transcript → Preprint

Convert to a citable pedagogical preprint with DOI registration.

3

Assign

Preprint → Students

Assign preprints to student cohorts. Track who engaged and when.

4

Observe

Engagement → Signals

Collect structured feedback, session data, and confusion indicators.

5

Improve

Signals → Revision

AI-assisted revision suggestions drawn from real student responses.

Stages 1 – 2

From lecture recording to citable preprint.

Upload audio or video from any recording setup, or paste in typed notes. LectureMinutes transcribes, structures, and formats the content into a publication-ready pedagogical preprint — automatically.

  • High-accuracy transcription. Powered by Deepgram and OpenAI Whisper, with speaker diarisation and timestamp anchors.
  • Structured article conversion. AI extracts sections, headings, key concepts, and citations from the raw transcript.
  • DOI registration on publish. Every preprint gets a persistent DOI via Crossref. Citable from day one.
  • Version history. Each revision creates a new version. Earlier versions remain accessible and citable.

Pedagogical preprint

v2 Published

Introduction to Quantum Computing

Lecture 4 — Wave-particle duality and its implications for gate-based computation

Dr. Ada Lovelace · Department of Computer Science

Abstract

This lecture introduces wave-particle duality as a foundational principle of quantum mechanics, tracing its implications for qubit behaviour and entanglement in modern quantum computing architectures…

142 reads 28 feedback items doi:10.69642/lm.2026.0041

Assignment

Week 4 Reading — Quantum Computing

Published

24

Enrolled

18

Completed

31

Feedback

Completion75%

Student roster

S
Sofia Marchetti
Submitted
J
James Okafor
In progress
P
Priya Nair
Submitted
T
Tom Reeves
Not started

Stage 3

Assign preprints directly to students.

Link any preprint to a student cohort as an assignment. Students receive it in their workspace, read it in context, and submit structured feedback. You see completion and engagement in real time.

  • Invitation-based enrollment. Students join via a private code. No public signups, no spam.
  • Per-assignment visibility. Each assignment shows who started, completed, and submitted feedback.
  • AI study sessions. Students can open a contextual chat session grounded in the preprint content.

Stage 4

See exactly where students struggle.

Students don't just mark a reading as done — they submit structured feedback tied to specific sections. You get confusion hotspots, comprehension gaps, and engagement patterns mapped back to the actual text.

  • Section-level feedback. Each feedback item is anchored to a section of the preprint, not just a free-text box.
  • Confusion hotspots. Aggregate student responses highlight which sections generated the most confusion.
  • Progress dashboards. Track each student's reading progress, session time, and submission history.
  • Cohort-level analytics. Teaching Plus unlocks aggregate views across your entire student group.

Section engagement

Introduction 97%
1. Classical bits vs qubits 91%
2. Wave-particle duality 44%
3. Superposition & gates 38%
4. Entanglement basics 72%
Conclusion 89%

Confusion hotspot · 14 responses

"The transition from wave-particle duality to superposition wasn't clear — I didn't understand why one implies the other."

Section 2.3 · Comprehension gap · High signal

AI revision suggestions · Section 2.3

Restructure suggested

Add a bridging paragraph between §2.3 and §2.4 explaining why wave-particle duality is a prerequisite for superposition — 14 students reported this gap explicitly.

Clarity improvement

The phrase "probabilistic state collapse" appears without prior definition. Consider introducing it with an analogy before §2.4.

Example addition

Students who completed the study session asked about real-world gate implementations. A brief worked example in §3.1 may improve retention.

Stage 5

Student confusion becomes your revision brief.

LectureMinutes analyses the feedback your students submitted and generates targeted revision suggestions for the sections that caused the most confusion. Each suggestion links back to the student responses that generated it.

  • Student-informed suggestions. Revision prompts are grounded in the actual language students used when they reported confusion.
  • Section-level precision. Each suggestion targets a specific section, not the whole document.
  • Accept, reject, or modify. Review each suggestion independently and apply only what makes sense to you.
  • New version on apply. Accepted revisions create a new preprint version with a fresh DOI point.

Publication

Every lecture becomes a citable academic work.

LectureMinutes is also a preprint server. Completed pedagogical preprints are published openly, indexed via Crossref, and accessible to the academic community with a permanent DOI. Teaching and publishing are the same action.

Open preprint server

All published preprints are publicly accessible and searchable.

Crossref DOI registration

Automatic DOI registration on publish. Every version is individually citable.

Formal publication pathway

Submit your preprint for peer review and move toward a journal-quality publication — without leaving the platform.

Who it's for

Built for lecturers who want to know if their teaching is working.

Not a note-taking app. Not a generic LMS. LectureMinutes is for academics who record lectures, want students to engage with them seriously, and want evidence they can use to improve — not just usage statistics.

I record my lectures. Can students do more than just watch them?

Yes. Students read a structured preprint version, submit section-level feedback, and work through contextual study sessions — all tracked.

I already publish preprints. How is this different?

LectureMinutes closes the loop back to teaching. Your preprint becomes an assignment, and student responses feed directly into your next revision.

I want to know which parts of my lecture confused students. Can I?

That's exactly what Teaching Plus is for. Confusion hotspots are mapped to the original sections, ranked by frequency.

Get started

Start with the free plan. Scale when it makes sense.

The free tier covers the full pedagogical loop for up to 25 students and 3 active assignments. No commitment required.