Out of the dozens of different learning evaluation models currently in practice, which one is right for you? Turns out, you don't have to limit yourself to just one. We've taken our favorite parts of several popular training evaluation models to create our very own method, which we'll explore in this blog post.
Meet our "super method" for learning evaluation.
We've been using Watershed Insights to dig into several models of learning evaluation in light of what's possible with modern technologies such as xAPI.
And we've combined our favorite elements from Kirkpatrick, Kaufman, Anderson's Value of Learning, Brinkerhoff's Success Case Method, and Phillips' Model to create our version of a "super method" of how to evaluate learning.
By combining the best portions of these models, we've created a method to effectively evaluate your learning and development process from design through implementation.
Here's an overview of our practical seven-step evaluation process that you can implement in your organization:
Identify program goals and evaluate alignment with strategic priorities.
Step 2: Define metrics for effective evaluation.Identify success metrics most appropriate to the organization. Ensure that these metrics cover the complete story from learning through to achievement of the program goals.
Step 3: Discover what's working in existing evaluation. (optional)Identify what learning is already occurring in the organization that supports the program’s goals. Research those activities and identify what works well and what doesn’t.
Step 4: Design programs for effective evaluation.Design the program itself, including determining how data relating to evaluation metrics will be captured, aggregated, and displayed/used.
Consider use of dashboards for ongoing monitoring and reports for analysis at specific points in the program.
Step 5: Monitor success during evaluation.Continually monitor success and progress toward the program goal and keep stakeholders updated. Make changes to the program as required in response to ongoing data.
Step 6: Analyze evaluation outcomes.At the end of the program and/or at specific dates after implementation, analyze data in detail. Celebrate and share evidence of successes; document and share lessons learned.
Step 7: Explore evaluation outcomes. (optional)Research further into particularly successful and unsuccessful elements of the program to uncover more lessons to be learned.
Recommended Reading
Up Next: Step 1, Align
During the next few weeks, we'll dive deeper into each one of the seven steps and share helpful worksheets with each step. In our next post, learn more about aligning your learning evaluation program with priorities.
[Editor's Note: This blog post was originally posted on January 19, 2016, and has been updated for comprehensiveness.]
About the author
As a co-author of xAPI, Andrew has been instrumental in revolutionizing the way we approach data-driven learning design. With his extensive background in instructional design and development, he’s an expert in crafting engaging learning experiences and a master at building robust learning platforms in both corporate and academic environments. Andrew’s journey began with a simple belief: learning should be meaningful, measurable, and, most importantly, enjoyable. This belief has led him to work with some of the industry’s most innovative organizations and thought leaders, helping them unlock the true potential of their learning strategies. Andrew has also shared his insights at conferences and workshops across the globe, empowering others to harness the power of data in their own learning initiatives.
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