413 Measuring eLearning to Create Cycles of Improvement

10:45 AM - 11:45 AM Thursday, October 1

Instructional Design

106/107

Most designers and developers strive for continuous improvement in the quality and effectiveness of eLearning programs. However, measuring the success and failure of eLearning is often an afterthought. Worse, the metrics used to measure effectiveness send false messages that lead a person to think the eLearning is more effective than it actually is. This is unfortunate because eLearning offers more measurement options than traditional classroom training.

In this session you will learn what learning science reveals about measuring the learning results inherent in eLearning. You will discover common mistakes to avoid and methods for improving your eLearning results. By utilizing these research-inspired methods, you will be able to create cycles of continuous improvement.

In this session, you will learn:

  • What research-based findings mean for measurement design
  • The three most common biases in measuring learning
  • Unique opportunities for eLearning measurement
  • What learning science reveals about measurement

Audience:
Novice and intermediate designers, developers, and managers.

Technology discussed in this session:
N/A

Will Thalheimer

President

Work-Learning Research

Will Thalheimer, the president of Work-Learning Research, is a consultant and research translator, providing organizations with services including smile-sheet rebuilds and research benchmarking. Will regularly shares his work and research through keynotes, free reports, workshops, and blog posts. Will is the compiler of the Decisive Dozen, author of the award-winning book Performance-Focused Smile Sheets, a co-author of the Serious eLearning Manifesto, and a founder of the Debunker Club.

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