3 Major Benefits Of Using Learning Data
Have you ever considered hiring a business analyst to mine your learning data and arm you with the information you need to make informed business decisions? We recently talked with Chris Longstreet, the Director of Learning Experiences at Choice Hotels International, about how his team of analysts uses learning data from an LMS, Google Analytics, and Vimeo to:
Through data mining, Choice Hotels International is answering questions about its U.S., Canadian, and international learners such as, “What are they doing in the system? Where are they going? What do they need? What interests them? What makes them bored? What’s the path of their mouse on the screen?”
By answering questions like these, Longstreet’s team has made useful discoveries, including how:
Armed with valuable information like this, Choice Hotels International has been able to develop solutions to increase learner engagement. For instance, Longstreet’s team decided to:
Due to these changes, Longstreet’s team noticed engagement levels are up, and the number of pages visited has gone down significantly. In other words, learners are getting to the content they need faster. “The average session duration went down from about 14 minutes to six minutes per session,” said Longstreet. “So, we cut our user time in half, which means they are spending less time away from their other responsibilities.”
During the interview, Longstreet added, “We can also track engagement down to location. For some reason, Canada has had a 50% jump in the last three weeks. Now we can figure out why.”
Learning data not only helps you identify how to increase engagement, it also provides clues on enhancing training design.
For instance, Longstreet’s team mines its LMS data to determine how learners are interacting with their learning assets. Based on this data, Longstreet’s team has been able to determine which types of assets are resonating with its audiences. They learned microlearning assets (such as short videos) have high engagement levels; however, promotional video “trailers” for those assets do not. Based on this information, Choice Hotels International can allocate its training budget to the types of assets that its learners are more likely to use and appreciate best—and avoid spending time and money on assets that don’t provide value.
In addition, Choice Hotels International uses Vimeo data to determine if learners are watching whole videos or if/when/why/how they are dropping off early. Based on this data, Longstreet’s team identified how to improve training design to drive learner engagement. Among its findings, the team realized the need to:
In addition to mining data to improve learner engagement and experiences, you can compare business analytics to learner analytics for clues to improve performance. For example, when a hotel performs poorly (e.g., poor customer ratings, low ‘likelihood to recommend’ scores), a business process consultant pulls LMS reports to determine if the hotel staff is engaged in the learning environment.
By analyzing LMS data through the lens of business performance data, Choice Hotels International identified a direct correlation between hotel performance and hotel engagement in its learning environment. Preliminary results suggest hotel properties with higher training content completion levels also earn higher guest satisfaction survey scores. So, those who use the LMS perform well, and those who do not perform poorly. This finding has motivated Longstreet’s team to implement initiatives that help drive learner engagement.
Even if your team is not staffed with a business analyst, you can still use learning data from a variety of sources—your LMS, Google Analytics, Vimeo, and others—to increase learner engagement, enhance training design, and improve performance. As you begin to put data mining processes in place, you’ll find that the more data you mine, the more useful information you’ll find.