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

Product type Paperback

Published in Jun 2023

Publisher Packt

ISBN-13 9781804618875

Length 502 pages

Edition 1st Edition

Languages

PHP

Tools

Adobe Captivate

Concepts

Design

Author (1):

Damien Bruyndonckx

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Table of Contents (23) Chapters

Preface

1. Part 1 – Publishing Learning Content

2. Chapter 1: Introduction to Adobe Learning Manager FREE CHAPTER

3. Chapter 2: Customizing the Look and Feel of Adobe Learning Manager

4. Chapter 3: Uploading Learning Content and Managing the Content Library

5. Chapter 4: Creating Skills and Courses

6. Part 2 – Managing Learners and Tracking Learning Data

7. Chapter 5: Managinswg Users

8. Chapter 6: Enrolling Learners in 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 Adobe Learning Manager

13. Part 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. Part 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. Index

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Recommendations Based on Peer Activity

The default learner home page of Adobe Learning Manager contains several widgets whose content is provided by the built-in AI. In the previous section, you discovered the Recommended based on your areas of interest widget.

In this section, you will explore the Recommended based on peer activity widget and the admin options that affect the recommendations it produces.

To come up with these recommendations, the artificial intelligence must analyze how you and your peers behave on the account. This includes analyzing the courses learners have enrolled in, the skills covered by those courses, the L1 and L3 feedback received, whether or not new courses published on the platform are successful, current industry trends, and more. All this data is fed into the artificial intelligence that generates the content of the Recommended based on peer activity widget.

This complex process is mostly automatic and takes place behind the scenes without any...