Learning analytics, used for effective training, can be one of the best ways for companies to evaluate and improve the ROI of their training programs. In every organization, generating and evaluating training reports is highly essential.
Both to train employees effectively or to calculate ROI for training programs. Learning analytics are improving at a rapid pace, as the volume of learning data generated by learners is growing, and the capabilities of learning management systems (LMS) are becoming more advanced.
It is, however, difficult to determine how to present your report with the most relevant training metrics.
As we proceed, we will go over several metrics that you should take into consideration when preparing your learning analytics report.
What Is a Training Metric?
Metrics are quantifiable measurements that are useful to track and assess a training program’s results. It is possible to use training metrics to check learning in various ways.
For example, you can track a learner’s test results, how long a learner spends on each module, and the number of attempts needed to pass the test. Overall, these metrics all contribute to assessing the quality of training.
Training metrics to measure the effectiveness of your training
When creating learning analytics reports, you can gain a lot of insight from the completion rate. By measuring learning engagement, we can determine if learners are actively participating in the course.
If learners complete a training course with a high completion rate, they find it relevant and interactive.
The employees have a better understanding of the training course and are therefore more likely to apply it to their jobs.
Another possibility is that learners are unable to comprehend the training. As a result, it leaves them disinterested. Thus, it is possible to measure employees’ initial response to training programs using this metric.
It’s a quick and easy way to determine the satisfaction of learners with a specific training session by using feedback.
Additionally, you can use it in a variety of different ways in an online training program. It is useful in many ways in training programs, which could include tests, votes, questionnaires, and employee feedback.
The use of any of these methods will allow you to learn more about the training challenges your employees encounter.
Which in general are difficult to detect through quantitative data. By using feedback, you can determine if your learners understand the content or are expecting more of it. And finally, you can use it to create better training in the future.
Time spent on training
You can predict trainee engagement by tracking the training time. Calculate the average time needed to complete each training module during the training development process.
Trainees who finish their courses too quickly, possibly, skip portions of the training since they are not interested in them.
Also, if trainees spend more time on a certain module, it might show an area where they struggle. You can detect the reaction level by this metric.
An effective way to determine a learner’s level of understanding is by assessing their performance and training assessment scores.
So, there are two categories of measurement to consider when using this training metric: individual and group. You can find each trainee’s individual performance report in the individual performance report.
While the group performance report provides a general assessment of trainee performance. You should include learning outcomes in both the pass rate and failure rate. Knowing these statistics will make it possible to determine trainee retention levels.
Passing rates correlate with retention rates, while assessment scores correlate with retention rates.
User activity data
Training metrics provide insights into the level of engagement and perception of training modules. Also, it demonstrates where trainees tend to focus their attention.
Tracking user activity like comments and reviews can provide insight into engaging course content. It will be useful in identifying engaging and non-engaging content.
Progress of learners
The training metric you use allows you to determine how learners are progressing through their training. It may also provide insight into drop-off rates.
That is the number of students who do not finish the course or leave the course in the middle. For example, if students are stuck on the same module most of the time, they may be having difficulty understanding it.
Thus, you might consider revising the course module or finding out why so many students drop out.
To show that your learning strategy is producing value for your company, it is vital to analyze its effectiveness. During the evaluation process, you can find out if there are any shortcomings. You can rectify them to maximize training value for everyone involved.
By automating many of the measurement tasks through an LMS that enables detailed reporting and survey capabilities, you will be able to make the process more efficient.