While most live online learning programs collect tons of data on their learners’ progress, actually interpreting and taking action on that data to improve learner outcomes can be tricky.
But when there’s no action taken on data collected, it can really make you wonder why you might be dedicating so much time and effort into collecting it in the first place.
That’s why it can be helpful to build a holistic view of your student progress. Something that’s accessible even for the non-technical members of your team and doesn’t leave you drowning in data.
But how do you go about doing that? And what are the challenges you might face along the way? We share the answers to these questions below.
First things first, collecting student progress data is extremely important and valuable for online learning programs, and even if you’re not taking action on that data right now, it’s 100% worth continuing to do. But there are definitely ways to make it more efficient and get more bang for your buck, so to speak.
Here are just some of the reasons why collecting student progress data is important:
Learn how to use data to create better learning experiences here.
Even if your team already collects data, we’re not saying interpreting and taking action on that data is easy. Here are some of the challenges you may face:
Learn how Codepath.org overcame these challenges and reduced student drop-out by 50% here.
Despite these challenges, there are a few ways to make your student progress data actionable and accessible for everyone at your organization. Here are a few options:
You can use no-code tools like Zapier, Airtable, and Tableau to automatically port in data to custom dashboards accessible to your whole team. Use formulas and queries to automatically flag learners based on specific criteria. From there, you can leverage Zapier or a tool like Customer.io to automate nudges to learners in need.
Virtually’s SRM offers a fully automated option to keep tabs on your learners and intervene to prevent churn. It’s a holistic view in a box!
The SRM automates data collection and aggregation from across all of your different tools - attendance, feedback, community engagement, etc. - flags at risk students based on custom triggers you create according your program’s known warning signs, and automatically reaches out to flagged learners to check in and offer support.
Curious to learn more? Sign up for the waitlist here.
Laura Marks is Head of Customer Experience at Virtually