Tag: LMS analytics

08 Jul 2021
LMS analytics

Are LMS analytics useful for a company? Know more!

LMS learning is assuming importance for companies due to the ease of learning. But, a lot of data needs to be gathered before ensuring that it’s successful. LMS analytics help in collecting such data to get insights into the learner’s behavior.

When a company uses LMS analytics and reporting, it can get important data of the following types to show how learners are using the tool.

  • How employees of a certain department are performing in LMS assessments: You can track the performance of employees of different departments in terms of how they fare on LMS assessments. Whether their performance is satisfactory on assessments, or they continue to lag behind other departments. Whatever is the result of such tracking, you can know how an LMS can be improved to enhance employee test results in a certain department.

There can also be gaps in the job-based performance of individual employees of a certain department. It could be because the employee is unable to cope with the difficulty level of the course. So, his performance in the workplace has not changed even after he has completed the eLearning course. That might show in his poor post-lesson test results.

Each employee has a knowledge-doing gap which implies he might know to do something but is unable to do much. This can be analyzed with the aid of the test results of an employee after finishing an eLearning module. This way, you can know how an eLearning course can be improved so that employees can modify their work performance.

  • Course activity: It’s important to know for a company, whether employees are completing the e-learning course with a scheduled deadline. If they are facing any problems, they can contact the admin of the LMS. Moreover, the more time they spend on a module, shows that they are unable to understand it. An LMS admin gets all these time-based reports automatically through the LMS. Any employee who spends more time on the module and assessments needs some aid from managers in explaining the E-learning content to him.


  • Certifications: LMS analytics can also be used to inform the managers and HR about those employees, who have been issued certifications, but need a new one when the old one is not valid anymore. The employees who have completed an updated course can also be given upgraded certificates based on their new learning.

Such changes also need to be communicated to HR.LMS analytics can be customized as per the needs of businesses. This can be done with the aid of an LMS vendor.

It is necessary to promote the course

There can also be problems when the employees don’t know the value of a course i.e. how it ensures their promotions. That’s why LMS analytics data shows that employees have been spending no time at all on an eLearning module. Lack of employee interest can be a real difficulty because they need to take an interest in compliance training. Therefore, before a course is launched, it’s better to promote it on social media groups.

Why is learner search data important?

Learner data related to searches is also important because through them the companies get to know in what topics learners are interested. Sometimes, learners want to increase their knowledge about a certain topic, but it’s not present on the LMS. In that case, the e-learning content must be changed.

You can also know the result of the search statistics, in how much time learners were able to locate an e-learning content item or they were not able to locate it all. That shows that the navigation structure of an eLearning course must be changed because the search might not have yielded correct results for learners.

Get the learners to complete the course

The learners might sign in on a course but not complete it. This shows that the learners were interested in the topic, but didn’t find the e-learning content format to their liking. So, by checking which courses have the maximum completion rates, you can become aware of the content format relevant for learners.

This is how you can create a course based on LMS analytics to generate the best response for eLearning content.

28 Oct 2020

Big data helps elearning systems

Elearning has taken on the world in a big way. It’s used everywhere whether in schools or offices. Teachers are transferring knowledge to students through elearning systems.

You collect data with elearning through Bigdata which is collected for every user of such a system./span>

When is Big Data created?
Big data is created when a user browses through the course. This data includes information on the user’s performance, results, and any other kind of data created and captured in the big data. This data can be seen in useful results with LMS analytics.
When used carefully, the LMS analytics showing big data comparisons can be used for learning several new things.
This involves checking whether there are any areas in which the users are facing any difficulty.

Whether the e-learning is successful in solving the learning needs of the organization can be tracked using LMS analytics. How much time, the user devotes to the course is also important and can be captured through Big Data and LMS analytics.

If the user is taking more than average time to browse through the course, it implies that it is difficult for him. So, the course can be worked upon. Findings of questionnaires included in the course are also important. So, are social media polls that reveal information about the preferences of users about the course.

  • Decide factors for which data is important

LMS analytics are only useful once they find data that is of use to the organization. For example, employee performance during the course can be measured. It will show as a metric in the LMS analytics. Tasks can be included in the elearning course to measure employee performance.

  • Data safety is also important

Even if some Big Data is of no use now, it can’t be rejected or thrown away. It might be useful in the future.
Every source of data must be encrypted. Safety measures should be imposed online. It is also important to know who is using your Big Data so that it can be protected.

  • The priority list of data

The Big Data collected from an elearning module will depend on the number of tasks in it. However, the more the number of tasks the more frustrating the module can get for the user.

Hence to make a module simpler and make it target-oriented also, it’s important that the issues to be addressed first should be decided upon. Issues that can be addressed later can be built in the later modules. So, for course improvement, this has to be done.

You can also get the feedback taken from the learners about the course through tasks inbuilt into it and then rectify it. This way, the learner won’t suffer from any lack of motivation with a tough module.

  • Change in the amount of data

The data acquired through Big Data will be increased in the future. Careful management is necessary because it’s scalable. Hence companies might need to hire vendors in the long run when the amount of big data increases. This is how elearning systems rely on Big Data to measure the performance levels of learners.

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