An Overview: Kaufman's Levels of Learning Evaluation

    

Kaufman's Levels of Learning Evaluation is one of several learning evaluation models that builds on or reacts to Kirkpatrick’s model. In this blog post, find out more about the two main differences between Kaufman's model and Kirkpatrick's model.

What's Kaufman's Model?

Kaufman splits Kirkpatrick’s Level 1 into "Input" and "Process." Input represents the learning materials and resources available to learners. Process represents the actual delivery method of the learning experience.

Kaufman adds a fifth level that looks at the benefits to society as a whole and the benefits to a business’ clients. This is in contrast to Kirkpatrick's levels of evaluation, which only look at benefits to the business itself.


 Kaufman's Levels of Learning Evaluation

What’s hot?

We recommend evaluating your learning materials separately from delivery. This helps you identify problems with materials earlier in the process and more easily discern where improvements need to be made. You also should define separate quality standards for your materials and delivery method.

What’s not?

We don't suggest capturing data about your learning program's impact on society as a whole; it’s too far removed to be useful. As for benefits to the customer, however, this data is absolutely important and should be incorporated into the business metrics you’re evaluating at Level 4.

Up Next: Brinkerhoff's Success Case Method

In the next installment of our Learning Evaluation series, we'll be covering Brinkerhoff's learning evaluation method. Don't miss out! Be sure to subscribe to Watershed Insights to get the latest posts delivered straight to your inbox.


Where can I find out more?

Learn more about Kaufman's Levels of Learning Evaluation and download this eBook. And check out our online resource center for even more helpful guides, worksheets, and recorded webinars.

eBook: Kaufman's Learning Evaluation Model


Andrew Downes

About The Author

As one of the authors of xAPI, Andrew Downes has years of expertise in data-driven learning design. And, with a background in instructional design and development, he’s well versed in creating learning experiences and platforms in both corporate and academic environments.