The Underlying Benefits of Big Data in eLearning

Published: 2020-05-29 12:34:59

Big data can help the eLearning system evolve to a great degree. Administrators and developers can easily learn about the shortcomings in the eLearning solution with big data and bridge those gaps to make it more efficient.

All [Learning Management Systems](https://www.fingent.com/blog/e-learning-taking-a-new-front-how-can-lms-technology-help/) and delivery mechanisms involved in eLearning are data-driven and collect data as a learner interacts with its modules. This gives valuable insight on how the courses are benefitting the learners. Organizations can also figure out the preferred mode of learning for individuals and groups by analyzing the data. At the same time, it also allows them to understand the strengths and weaknesses of their eLearning strategy.

**Key Benefits of Big Data in eLearning**
Analyzing big data helps eLearning professionals to offer a personalized experience to learners. It makes it very simple to identify the areas that need to be improved in the eLearning system. This allows developers to make the eLearning modules and courses more user-friendly as well as effective in delivering the intended instructions and training. Below are some of the fundamental benefits of big data in eLearning.

**Find the Right Mode of Learning**
Big data analysis can be very beneficial in identifying the specific courses or segments that are popular among the learners. For instance, you may find that most learners prefer visual charts and scenario-based activities than text-based exercises. When you have this data, you can create similar modules to make it more user-friendly. This not just allows learners to complete the courses quickly but also ensures that they remember the training and instructions for a long time.

**Find the Structural Issues**
You should ensure that the eLearning course of your organization is properly structured and well designed to convey all the necessary information to the learners. With the help of big data, you can easily pinpoint the assignments and exercises in the module where most learners fail. You may also find that most learners abandon a particular scenario-based task because of the difficulty in completing it. With this data, you can restructure the eLearning system and make it more organized.

**Plan the Right Deployment Strategy**
A careful assessment of the data collected by the eLearning system will help you to understand which particular deployment strategies are more profitable for your organization. Big data allows you to see whether your learners are using a Windows-based platform to access the online learning modules or if they prefer Android or iOS systems. This allows you to plan your deployment strategy wisely and figure out whether you need multiple OS delivery support or stick to a particular platform.

**Revamp the eLearning Courses**
Big data analysis also helps you to tweak the design of the eLearning modules aptly to suit the needs of users. For instance, if none of your learners has used the download or print option for a particular course in the past five years, then it indicates that learners can still get all the necessary training and instructions without that segment. This allows you to reconsider whether you should continue spending your time and money on updating that particular course or replace it with something more productive.

These are just a few benefits of big data in eLearning. Data collection is inevitable in eLearning and it is updated with each interaction. Therefore, you should use the best tools and [LMS software](https://www.fingent.com/blog/top-considerations-developing-mobile-first-lms/) to make the most of it. This way, you can design, deliver, and monitor eLearning content much more effectively.