AI Narration for E-Learning and Training

Step 1

Mirror the course hierarchy in the script

Assign a stable ID to each slide, screen, and scenario. Expand spoken abbreviations and mark glossary terms that need a controlled pronunciation test.

Step 2

Cast from a terminology stress test

Build one excerpt from product names, values, and acronyms. Compare candidate clarity on that material and document the selected instructional voice before batch generation.

Step 3

Validate every file where learners hear it

Play narration with its assigned screen, checking instructions, interactions, duration, and glossary readings. A later edit should regenerate the matching source ID alone.

Why should source blocks carry lesson IDs?

The ID connects approved text, generated audio, and the screen that uses it. When one step changes, the owner can replace that unit without disturbing accepted lessons.

What belongs in a course-player review?

Follow the approved source while viewing the screen. Verify terms and values, allow time for interactions, and confirm the spoken instructions let a learner complete the step.

Which production decisions should the course owner record?

Record the speaker, glossary, writing conventions, and filename scheme. Apply that sheet to every new module and compare replacement takes with an already accepted lesson.

How should the team manage specialist pronunciation?

Audition each acronym or technical term separately, document the accepted spoken form, and use it consistently. If the glossary changes, regenerate every linked lesson ID.