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AI microlearning generator: from brief to scored lesson

Intle turns a plain-language brief into a reviewable microlearning draft with focused sections, supported scored checks and useful visuals. It is made for L&D teams, trainers and subject experts preparing refreshers. Review the objective, activity and estimated duration before delivery. Download SCORM 2004 or 1.2 for LMS testing, or share a hosted link.

See a live example

What to try and review

Teach one focused objective with a short interaction and useful feedback.

Duration is a design estimate, not measured learner time. Remove content that distracts from the objective.

Complete the example's short learner journey; hosted results and LMS reports are separate destinations.

Start with a brief of up to 5,000 characters or supported source material. The upload controls show file type, size and extraction limits before generation. All accounts use the same creator toolkit; generation, editing, hosting and history allowances differ. Compare allowances.

A real generated microlearning

Try the saved example and inspect its sections. Generated output needs author review; quality checks do not establish factual accuracy.

ML

Interactive preview

Microlearning · 6 sections · Fully interactive

Answered
0/3
Correct
0
Time
0:00

When rapport outweighs evidence

Scenario
1 min
You finish two interviews and instinctively prefer the candidate who felt easiest to talk to. But the other candidate gave clearer examples of handling complaints, prioritising work, and meeting deadlines. Bias often enters in these small moments, when comfort or first impressions crowd out job-relevant evidence.
  • Likeability is not evidence of competence.
  • Bias can influence scoring within minutes.
  • Fairer decisions come from comparing evidence against role criteria.

Gut feel versus evidence in interviews

A quick comparison of how first impressions can diverge from role-related evidence.

Side-by-side comparison of What the manager notices, Likely result across 3 criteria. Gut-feel impression: What the manager notices: Easy conversation, shared vibe; Likely result: More likeable candidate may be. Evidence-based judgement: What the manager notices: Examples linked to job skills; Likely result: Stronger performer is compared. Decision risk: What the manager notices: Bias can shape scoring fast; Likely result: Fairness improves with proof.
Side-by-side comparison of What the manager notices, Likely result across 3 criteria. Gut-feel impression: What the manager notices: Easy conversation, shared vibe; Likely result: More likeable candidate may be. Evidence-based judgement: What the manager notices: Examples linked to job skills; Likely result: Stronger performer is compared. Decision risk: What the manager notices: Bias can shape scoring fast; Likely result: Fairness improves with proof.

What this format can include

Sections sized for the format

The saved example has six sections and an estimated five-minute duration: context, short reading, three scored checks and a key-point close. Duration is an authoring estimate, not measured learner time; choose the available duration preset and review the resulting workload.

Scored checks in varied response modes

Matching, single-select and multi-select questions rather than a run of identical MCQs. The saved example climbs Bloom's taxonomy: analyse the bias pattern, apply the scoring rubric, evaluate which interview notes are legally safer. Each select option carries its own feedback naming the specific risk or evidence.

Visuals generated alongside the text

The saved example uses visuals in four of its six sections. The planner checks visual coverage, but the generated draft still needs a human check that each chart or diagram is accurate and supports the learning goal.

A final assessment your LMS can grade

The saved example defines an 80% pass mark and answer review. In SCORM exports, scored questions receive interaction identifiers; whether item responses appear in reports depends on the receiving LMS and its configuration.

Context that survives review

The saved example includes topic tags, objectives, key takeaways and an Equality Act 2010 reference. Review any legal reference for accuracy and applicability; a new draft's sections and citations depend on its source and plan.

Navigation you control

The reviewed content can set a progress bar, back navigation and a sequential lock. Check the chosen export and LMS to see how navigation and resume behave in that environment.

Learners don't just read. They act.

Every experience is composed from interactive moments, chosen to fit what you’re teaching:

Decidebranching scenarios with consequences
Sort & sequencedrag into bins, assemble processes
Labelpin the parts of a diagram
Investigatefind what's wrong in an image or text
Buildconnect a model piece by piece
Experimentmove variables, watch outcomes
Answerscored questions, many formats
Discusslive polls, word clouds, role-play

Deliver it your way

Host it live

Build a session and share a link or QR code. Learners can join in a browser, phones included, with nothing to install. Review the participation and responses recorded for that hosted session; learner-level detail depends on the joining and privacy settings.

Download it for your platform

Download a package for your LMS and test that exact file in its player. The recording shows one Blackboard walkthrough. Completion and score reporting depend on the receiving platform and its configuration.

Check dated LMS evidence and test guidance

How it works

  1. 1

    Describe the lesson

    Write up to 5,000 characters of plain language and optionally attach sources such as PDF, DOCX, PPTX, images or a URL. Intle's classifier detects that your brief is microlearning; you can override the type manually if you prefer.

  2. 2

    Approve the structure

    In the guided planning flow, review the proposed sections, checks, visuals and takeaway before full generation. Adjust the outline, then review the resulting content as well.

  3. 3

    Generation runs against quality gates

    The planner checks a 50% interactive-section floor and visual and response-mode variety. Generated content is checked again; blocking issues may trigger another candidate or stop the run, while some visual and variety findings are advisory.

  4. 4

    Export as SCORM or host it

    Download a zip targeting SCORM 2004 (4th Edition) or SCORM 1.2, or share a hosted session link with participant tracking. Dated package-level evidence and current per-LMS validation status are published at /lms-compatibility.

What teams build with it

  • Interview-bias refreshers for hiring managers before a recruitment round: the saved example teaches affinity, halo and contrast bias with three scored checks and Equality Act 2010 context.
  • Between-shift compliance top-ups for bar and checkout staff on licensed premises, such as Challenge 25 age verification with quick scenario checks.
  • Conversation practice for customer support and success teams, handling subscription cancellation requests with empathy and a defensible next step.
  • Onboarding nudges for software developers, such as code review checklists, constructive comment framing and common anti-patterns to catch.

Frequently asked questions

Can I export a microlearning as SCORM, and which LMSs does it work with?

Every microlearning exports in formats targeting SCORM 2004 (4th Edition) and SCORM 1.2. We do not claim per-platform verification we have not carried out: the dated package-level evidence and current validation status for each LMS are published openly at /lms-compatibility.

How does scoring work in a generated microlearning?

A SCORM export writes supported scored checks as interactions. The saved interview-bias example has an 80% pass mark and answer review; verify how your LMS stores and shows individual responses. Hosted responses and progress are recorded in Intle instead.

Can I edit what the AI generates?

Yes. Use the visual editor to change supported text, question, answer, feedback and visual fields. Review the saved result, then export a fresh SCORM zip and replace any earlier LMS upload.

Is there a free tier?

Yes. The free plan generates unwatermarked downloadable packages. Paid plans add monthly creation and hosting capacity.

How long is a generated microlearning?

Five to fifteen minutes is a design target, not a measured promise. All plans can select the available duration presets; the saved six-section example is estimated at five minutes. The planner checks an interactive-section floor, but authors should still remove padding and test the actual learner journey.

Generate and review your own draft

Describe what you want to teach. Download a SCORM package for your LMS or share a hosted session link. It is free to start, with no card required.