Feature Guides

LMS Features: 30 Things a Learning Management System Must Do

Thirty LMS features grouped by learner, instructor and administrator, with the ones that drive course completion and the ones that are safe to skip at launch.

Purushottam Kumar Suman
Purushottam Kumar Suman
Founder & CEO, Drema AI
8 min read
Laptop showing an online course dashboard

Most learning management systems have the same feature list and very different completion rates. The difference is rarely a missing feature. It is how quickly a learner can resume, how little an instructor has to do to publish, and whether an administrator can answer who has completed what.

01

For learners (features 1 to 10)

Learners judge an LMS on whether it remembers where they were and works on their phone.

1. Resume where you left offAcross devices, to the second in a video
2. Mobile app with offline lessonsDownloads that sync progress when back online
3. Adaptive video streamingQuality that drops gracefully on slow networks
4. Course catalogue and searchFilters by topic, level and duration
5. Learning pathsCourses in a recommended order with prerequisites
6. Quizzes and practiceInstant feedback and explanations
7. AssignmentsFile, text and code submissions with feedback
8. Progress dashboardWhat is done, what is due and what is next
9. CertificatesVerifiable by link or QR code
10. Discussion and doubtsQuestions attached to the lesson they are about
02

For instructors (features 11 to 19)

If publishing a course needs support from the technical team, the catalogue will stay small.

11. Course builderModules, lessons and drip schedules by drag and drop
12. Content typesVideo, documents, SCORM or xAPI packages and embeds
13. Question bankReusable questions tagged by topic and difficulty
14. Assessment engineTimed tests, randomisation and negative marking
15. Live classesScheduling, attendance and recordings
16. Grading and rubricsConsistent marking with comments
17. Cohorts and batchesGroup learners with their own schedule
18. AnnouncementsEmail, push and WhatsApp
19. Learner analyticsWhere learners drop off, lesson by lesson
03

For administrators (features 20 to 30)

Administrators need control and evidence: who can see what, and who has completed what.

20. Roles and permissionsAdmin, instructor, manager and learner
21. Bulk enrolmentBy upload, rule or HR system sync
22. Single sign-onGoogle, Microsoft and SAML
23. Compliance trackingMandatory courses, due dates and renewals
24. Reports and exportsCompletion, scores and time spent
25. Payments and subscriptionsUPI, cards, coupons and GST invoices
26. Multi-tenant brandingSeparate portals for clients or campuses
27. Content protectionDRM, watermarking and device limits
28. IntegrationsHRMS, CRM, video and webinar tools
29. Multilingual interfaceInterface and content in regional languages
30. Audit trailChanges to content, grades and enrolments
04

Where AI helps

AI earns its place in an LMS in a few specific spots: generating practice questions from a lesson, answering doubts with the course material as the source, summarising long videos and flagging learners likely to drop out. Keep answers grounded in the course content and show the source lesson.

Doubt assistantQuestion generationVideo summariesDropout predictionPersonalised revision
05

What drives completion

Three things move completion more than any feature count: short lessons, reminders tied to a deadline and a visible streak or progress bar. Build these before gamification leaderboards, which help a few learners and discourage many.

Resume, remind and show progress. Most completion gains come from those three.

06

What to skip at launch

Social feeds, elaborate badges, a built-in video conferencing engine and a marketplace for third-party instructors can all wait. Use an existing video service for live classes and add the rest when usage tells you to.

30
Features in the full checklist
12 to 15
Enough for a first release
Mobile
Where most learners will study
Purushottam Kumar Suman
Written by
Purushottam Kumar Suman
Founder & CEO, Drema AI

Founder and CEO of Drema AI. Builds AI systems, SaaS platforms and industry software — and writes about what actually survives production.

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