From the course: Applying Analytics to Your Learning Program

Learning break

- The reason learning analytics really excites me was when I first understood the impact that it could have. And I was in a situation with a client in healthcare who had a learning and training program that was originally measuring itself just based upon how people were completing it, and once we worked together to really apply learning analytics to it and help them both improve the experience, it also improved the outcome, which in this context was helping save patient lives. So I started working with a healthcare client, and they had a program that was focused on code blue training, so when someone's in cardiac arrest. And they initially had a set of e-learning courses that people were taking and they were completing them, but we really wanted to work together to both measure it better and improve the experience and hopefully improve the outcomes as well. And so we worked with them to collect data on new simulations that they introduced and in-person observations kind of mocking the actual experience of responding to someone in a cardiac arrest. And so in doing so, we helped them really measure and improve the learning experiences, but even more importantly, really framed those outcomes in terms of saving patient lives, and it was really impactful for me to see the actual benefits of improving this learning being saving more lives and increasing the rate at which people are responding to these crises and how quickly they're able to do so was really something that motivated me then and continues to motivate me today. And I hope it can really bring that to you in this course is that motivation of how we can measure learning and improve not just learning itself, but the outcomes that it drives, too.

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