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Adaptive AI’s Courses learner experience controls and lesson auto-progression updates make it easier for learners to move through course content with fewer interruptions. With autoplay, next-lesson playback, and automatic completion options, creators can design a smoother learning flow while still controlling how each course behaves. This article explains the available controls, how they affect the learner experience, and how to configure them for your courses.
What is Courses: Learner Experience Controls and Lesson Auto-Progression?
Courses: Learner Experience Controls and Lesson Auto-Progression refers to a set of updates that improve how learners start, continue, and complete lessons in Adaptive AI Courses. These updates include autoplay for video lessons, an Up Next card for moving to the next lesson, smart video completion, automatic completion for text lessons, and course-level settings that let creators control how learners progress.
These updates are designed to support both structured courses and self-paced learning experiences. Creators can decide whether learners should begin automatically, continue from one lesson to the next, and have lessons marked complete as they move forward.
Key Benefits of Courses Learner Experience Controls and Lesson
Auto-Progression
Improved Video Experience
Video lesson enhancements help learners stay engaged by reducing the delay between opening a lesson and starting the content. These updates create a more continuous viewing experience while still giving learners control when they want to move ahead manually.
Key elements of the improved video experience include:
Smarter Lesson Completion
Smarter lesson completion helps learners move through content without repeatedly stopping to mark lessons complete. This is especially helpful for text-based lessons, where the learner’s forward navigation can indicate that they are ready to continue.
Text lessons are automatically marked complete when learners navigate forward to the next lesson. This reduces manual effort and helps progress reflect the learner’s natural movement through the course. For video lessons, completion is based on meaningful progress when learners move to the next lesson. This helps Adaptive AI capture progress without requiring learners to manually confirm every video lesson.
How To Setup Courses Learner Experience Controls and Lesson
Auto-Progression Proper setup ensures your course behaves the way you intend before learners begin moving through lessons. Review these controls before publishing or updating a course so the learner flow matches your desired pacing, completion rules, and content structure.
1. →
- 1Click Settings, then go to the Learning Experience Controls section. Learner Experience Controls are course-level settings that allow creators to decide how automated the course progression should be. These controls are useful when different courses need different pacing, such as a guided onboarding course compared with an evergreen self-paced training program.
- 2Configure the available learner experience settings: Enable Auto-Start First Lesson to automatically begin the first lesson when a learner enters the course. Enable Auto-Play Next Lesson to let lessons continue automatically. Enable Auto-Complete Lessons to mark lessons complete as learners progress.
- 3Apply to All Courses helps creators roll out the same learner experience settings across their course catalog. This is useful when you want consistent autoplay and auto-completion behavior across multiple courses without updating each course individually.
Frequently Asked Questions
Q: Are these learner experience enhancements enabled by default? Yes. These enhancements are enabled by default to create a smoother lesson experience out of the box. Creators can customize or override the behavior at the course level.
Q: Can I turn off autoplay for a specific course? Yes. Use the course-level learner experience controls to adjust autoplay behavior for each course.
Q: How does Auto-Complete Lessons work for text lessons? Text lessons are marked complete when learners navigate forward to the next lesson.
Q: How does smart auto-completion work for video lessons? Video lessons are marked complete based on meaningful progress when learners move to the next lesson.
Q: Do these settings affect certificates or workflows? These settings help manage lesson progression and completion behavior. If your course uses certificates or completion-based workflow triggers, review the full learner flow to confirm completion happens as expected.