How To Predict, Measure And Validate The Learnability Of Online Courses

How To Predict, Measure And Validate The Learnability Of Online Courses

Date of Event December 08 2016
Time 10:00 am EST
Duration 60 Minutes
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Asha Pandey
Speaker Asha Pandey
Asha Pandey is the Chief Learning Strategist at EI Design. She heads the organization’s Solution Architecting and Innovation teams and brings 15 years’ experience to help customers keep pace with the changing dynamics in the Learning industry.
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How To Predict, Measure And Validate The Learnability Of Online Courses

The biggest challenge every L&D team faces is proving how corporate training contributes to the bottom line.

Learnability has been established as the most significant factor to impact the ROI of training. Learner experience has a direct bearing on the effectiveness of your training initiative and eventually your ROI. Evaluation and measurement of learnability will help you predict the eventual impact and identify ways to better the learning experience.

The Insights Shared In The Webinar Will Help You Accomplish The Following:

  • Provide a better and meaningful user experience
  • Predict the impact of your learning effectiveness and identify measures to increase it
  • Personalize the learning experience for your learners based on the outcomes of your learnability validation exercise
  • See an increase in your ROI on training

We will also showcase case studies on how our framework can create the required learnability for new and existing courses along with validating learnability with users in real time.

Measuring Learnability or learning effectiveness of online courses vital for L&D teams. Using approaches that enhance learning effectiveness of your online courses will have a direct impact on enhancing the of ROI on training.
  • Hardware: Windows (1.4 GHz Intel Pentium 4 or faster/equivalent) or Mac (1.83 GHz Intel Core Duo or faster) and 512 MB of RAM (1 GB recommended)
  • Operating system: Windows 10, 8.1 (32-bit/64-bit), Windows 7 (32-bit/64-bit) or Mac OS X 10.9, 10.10, 10.11, and 10.12
  • Web browser: Microsoft Internet Explorer 9 or later, Microsoft Edge, Mozilla Firefox, Apple Safari and Google Chrome
  • Internet connection: Broadband (1 Mbps+) recommended
  • Software: Web browser plugin (will be prompted to install)
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