- Learning Solutions
- Research Library
- Guild Publications
- Sponsored Library
- Online Events Archive
- Learning Leaders Alliance Archive
- Conference Archive
- DemoFest Archive
Tracking Learner Engagement with Facial Recognition
Online Events Archive
Online Forums 2015 - January 29, 2015
VP, Product Marketing and Sales
As technology has evolved and more companies employ digital learning solutions, it’s paramount that there is an effective way to secure feedback to measure engagement and results. Often, companies struggle with how to achieve this while also respecting employee privacy and boundaries. As technology further develops over the coming years, more and more companies will be faced with making decisions related to tracking learner behavior. eLearning platforms are increasingly adding engagement-tracking features to their platforms. For many, this is the key missing link in actionable training feedback, measuring effectiveness, and delivering to organizations the ability to optimize training going forward. For others, it simply comes across as companies enforcing “attendance” through technology.
In this session, you’ll learn about learner facial-expression recognition technology. You’ll get practical advice to bolster training effectiveness, and you’ll comprehensively discuss an objective on the topic, delve into the key benefits, address challenges, and walk through live examples of the technology in action.
In this session, you will learn:
- What learner facial-expression recognition technologies exist today
- How learner facial-recognition technologies work
- The boundaries and regulations around learner facial-recognition technology that companies need to be mindful of
- What the future of eLearning technology holds
Novice through advanced project managers, managers, directors, VPs, CLOs, and other executives who have a fundamental familiarity with eLearning.
Handouts are available for Learning Guild members. Please log in or join to download these files.
This recording is available for Learning Guild members. Please log in or join to download this file.
Back to Library