Big data helps elearning systems

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. This data is collected for every user of the elearning system.

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 is captured in the big data. This data can be seen in useful results in the form of LMS analytics.
When used carefully, the LMS analytics showing big data comparisons which can be used for learning several new things. This involves whether there are any areas in which the users are facing any difficulty.

Whether the elearning is successful in solving the learning needs of the organisation can be tracked using LMS analytics. In how much time, the user goes 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 which 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 which is of use to the organisation. 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.

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  • 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.
    In fact, 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.

  • 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, its 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 in 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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