However, knowing which data analytics to track and how to use the data to evaluate the eLearning program is vital for any company. You can boost employees’ engagement and the benefit of your eLearning training program when you use the right eLearning analytics.
eLearning analytics to track
Learning management system (LMS) and google are two vital resources that will allow you to track the effectiveness of your online course using analytics.
The LMS features in-built analytics. But in case your LMS doesn’t have the required metrics, you may consider using another resource like google.
However, Google Analytics is useful if your eLearning course is cloud-based. For example, the amount of daily generated traffic on your website.
Below are the eLearning analytics you must track if you want to improve your online training program.
1- Time spent on eLearning course
eLearning courses should neither be too difficult nor too easy for learners. The secret to creating effective training is the striking balance when creating interesting course content.
Tracking the time spent on courses will give you insight into the problem faced by your learners. For example, if 10 minutes is your estimated time for each course module, But the average time spent by learners is 20 minutes.
This is a tell-tale sign that learners are struggling to understand the course module. On the other hand, learners who spent less time than the estimated time found the course too simple and are bored in the process.
2- High click-off rate
The rate at which users exit pages of your online course can help you identify areas that need improvement. When you notice the pages that are seeing the high click-off rate, carefully analyze why it is so.
For example, when learners exit at 3 minutes for 10 minutes estimated course module. The reasons may be error pages, less relevant content, low engagement, and navigation issues.
It could also be that learners don’t have enough knowledge required to complete a task, so they skip it.
3- Learners satisfaction rating
Learners’ satisfaction rating is one of the data to collect using e-learning analytics. Create a rating poll to determine how learners generally feel about the course content.
However, learners may agree they are pleased with the course content, and other eLearning analytics data could say the opposite.
So it is vital you check other analytics data to back up their claims. Use graphs and charts to analyze the data and trends.
4- eLearning marketing analytics
eLearning marketing is good when it works out fine. It increases your daily traffic by bringing more people to view your online courses. However, how will you know if your marketing strategies are working?
eLearning analytics allows you to understand the marketing strategy that is working and one that needs improvements.
For instance, traffic from other eLearning course pages can help increase your learner. Learners could learn more and understand more in the process.
5- Device types
For your eLearning course, your platform must support all types of devices. Users may click away from your page if navigation is a problem on your website.
Use analytics to track the kind of device visiting your site and then customize your eLearning course to meet their needs. For instance, if mobile device users are finding it hard to navigate your site, it can lead to high click-off rates.
When checking why this is so, it could be because of non-responsive design or wrong coding leading to a slow website.
6- Learner proficiency
Learners can go through course content, but the main aim of your eLearning course is for learners to gain new knowledge and sharpen their skills.
ELearning analytics can provide real-time data about their proficiency. eLearning analytics allows you to access learners’ skill performance.
It will help you to know whether a task is too easy or too difficult for learners to perform. For example, online training simulations or scenarios will enable you to assess the learner’s skills.
7- Learner progress
Track how far learners are progressing in the course using eLearning analytics. Using the benchmark, determine how far the learner is advancing. Is a learner too forward or behind?
A learner that is far behind may be finding the course challenging or might have lost interest in the course. Appropriate correction can be made in real-time or such learners can be motivated by recommending supplementary eLearning activities.
Conclusion
Depending on what you want to analyze, you can customize a metric that you can use to track specific eLearning analytics. Learning management systems offer these customizable metrics.
