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.