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  • Book Overview & Buying Enterprise LMS with Adobe Learning Manager
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Enterprise LMS with Adobe Learning Manager

Enterprise LMS with Adobe Learning Manager

By : Damien Bruyndonckx
5 (7)
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Enterprise LMS with Adobe Learning Manager

Enterprise LMS with Adobe Learning Manager

5 (7)
By: Damien Bruyndonckx

Overview of this book

Looking to deliver scalable online learning solutions? Adobe's latest enterprise Learning Manager is a powerful learning management system (LMS) that enables organizations to deliver, manage, and track immersive learning experiences. This book unlocks the full potential of Learning Manager, guiding you to become an adept administrator, author, or teacher, experimenting with Learning Manager from different perspectives. You'll gain an in-depth understanding of the features and their impact on your business. From platform setup to course administration, you’ll be able to create blended learning experiences, deploy your content to different devices, and explore Learning Manager's features for monitoring your students' progress on a daily basis. Finally, you'll discover techniques for organizing and maintaining your course catalog while elevating the learner experience. By the end of the book, you’ll be able to implement your organization’s training strategy, deliver engaging learning experiences, and generate meaningful reports to monitor their effectiveness.
Table of Contents (23 chapters)
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1
Part 1 – Publishing Learning Content
6
Part 2 – Managing Learners and Tracking Learning Data
13
Part 3 – Enhancing the Learner Experience
17
Part 4 – Administering the Platform

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...

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