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Enterprise LMS with Adobe Captivate Prime

You're reading from   Enterprise LMS with Adobe Captivate Prime Design and develop world-class learning experiences for your employees, partners, and customers

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Product type Paperback
Published in Sep 2021
Publisher Packt
ISBN-13 9781801073837
Length 616 pages
Edition 1st Edition
Concepts
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Author (1):
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Damien Bruyndonckx Damien Bruyndonckx
Author Profile Icon Damien Bruyndonckx
Damien Bruyndonckx
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Table of Contents (22) Chapters Close

Preface 1. Section 1: Publishing Learning Content
2. Chapter 1: Introduction to Adobe Captivate Prime FREE CHAPTER 3. Chapter 2: Customize the Look and Feel of Captivate Prime 4. Chapter 3: Uploading Learning Content and Managing the Content Library 5. Chapter 4: Creating Skills and Courses 6. Section 2: Managing and Tracking Students' Learning
7. Chapter 5: Managing Users 8. Chapter 6: Enrolling Learners to Courses 9. Chapter 7: Reviewing the Learner Experience 10. Chapter 8: Exploring the Instructor Role 11. Chapter 9: Configuring and Using Feedback 12. Chapter 10: Reporting in Captivate Prime 13. Section 3: Enhancing the Learner Experience
14. Chapter 11: Badges and Gamification 15. Chapter 12: Enabling and Managing Social Learning 16. Chapter 13: AI-Powered Recommendations for Learners 17. Section 4: Administering the Platform
18. Chapter 14: Working with Catalogs and Peer Accounts 19. Chapter 15: Working With Messages and Announcements 20. Chapter 16: Exploring the Integration Admin Role 21. Other Books You May Enjoy

Recommendations Based on Peer Activity

The default learner home page of Captivate Prime contains several widgets whose content is provided by the artificial intelligence engine that is built into the platform. In the previous section, we discussed the Recommended based on your areas of interest widget, and you learned how the Admin Defined and Industry Aligned skills affect its content.

In this section, you will explore the Recommended based on peer activity widget and the options available to the administrator that affects the recommendations it produces.

To come up with the recommendation provided by that widget, the artificial intelligence must analyze how you and your peers behave on the Prime account. This includes analyzing the courses that learners have enrolled in, the skills covered by those courses, the L1 and L3 feedback that was received, whether or not new courses published on the platform are successful, current industry trends, and more. All of this data is entered...

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