eLearning Big Data Analytics: Enhancing Knowledge Learning and Retention Outcomes

eLearning has been helping professionals and students along with educators and companies for a long time as it provides a perfect platform for them; especially when it comes to convenience. 

But guess what, it can be further enhanced, and the way of catering information to the learners can be easily streamlined with the use of big data.

Elaborately put, the online medium has certain challenges when it comes to completion of the course or the ability of the educatees to retain what they have learned and of course, the biggest obstacle is the lack of personalization. 

In other words, with the use of eLearning big data analytics, educators/Learning and Development teams have a great opportunity to tune the course content as per their wish that suits the learners' knowledge absorption pace.  

This becomes possible as the intelligent system (based on bid data analytics) allows the collection of learners' performance data and analysis of them so that they are learning outcomes can be ramped up. That is, the introduction of certain elements such as animation or visuals would enable them to soak in the information without much effort. 

To understand this scenario, picture this: there exist millions of online data (of the acquirees of knowledge) that get generated every day -- based on their queries. 

To interpret this vast volume of details (what exactly are they) and use them for enhancing content, big data learning analytics steps in. 

These high-level algorithms serve as a crucial tool when it comes to assessing the progress of novitiates in learning; thereby, allowing people behind making the content to make conclusions based on the available data -- fine-tuning the course materials. 

Core Benefits of Big Data-Based Elearning Platform to Professionals and School Students

There are multifarious benefits that help all forms of learners to strengthen their core concepts and progress without many issues and they are explained hereunder.

Maximizing Efficiency: Big data analytics when fused into eLearning medium can help to create lesson plans or coursework highly suitable for the skill-gainers or children who are curious to know more about a topic. 

The biggest benefit of this approach: learners will be able to assimilate intricate subject matter without much struggle and they will be able to analyze the core concept from all angles. 

To explain how this is possible, let's consider a scenario. A newly appointed manager intends to sharpen his current leadership skills. He can put his present managerial expertise under evaluation through the virtual analytics tool.

Then, the system will provide precise areas where such new managers need guidance. Accordingly, the training session can be meticulously adjusted and the managers can explore those angles and work on them.

Leveled-Up Performance Check and Feedback: Students can only work on their issues when their performance is evaluated. And, to the rescue, big data does this exactly as it aids massively when it comes to tracking progress in real-time.,

This assists to obtain detailed insights into how each learner's behavior is and what all have they achievements in terms of learning. 

This methodology allows teachers to see through the underlying problems immediately. These can be in the form of identifying skill-seekers requiring the much-needed extra support or it could manifest as some sort of patterns of common struggles -- may be in assignments or understanding.

Personalization: Innovative learning digital environments put to use big data's algorithms capabilities to lend a touch of easy information acquisition into students' academic journeys. 

Simply put, the tool swift through the gigantic volume of available data and finds out what suits the individuals and what doesn't.

To make this idea clear, let us assume a virtual intelligent platform that has an inherent quality in it to identify topics that students usually struggle with -- courtesy of the ability to gather data-driven insights. 

After which, it smartly offers additional resources to the learners. Otherwise, it would arm with essential details to the people in charge of content creation about personalized guidance to make the current course material better.

Predictive Outcomes for Helping Educatees to Retain Learned Info: Big data-based eLearning platforms are capable of figuring out which types of individuals may drop out of a course mainly due to the inability to hold onto what's learned. 

The obvious benefit of this measure is that there can be a swift intervention and proactively content can be calibrated to augment and preserve gained details. This way, at-risk children (facing information-assimilation difficulties) receive timely support. Hence, this fructifies as their chances of completing the course with thorough knowledge of the concepts increase significantly.

Skill Gap Identification and Bridging: The highly geared and clever online platform can furnish results or predict outcomes based on the performance of the learners. This can help to identify the weakness and build content that fully addresses the skill gaps.

Continuous Improvement: Riding the big data wave, it becomes possible to gain continuous support in terms of the progress of the users. Based on this available data -- that is real-time feedback, companies as well as educators can make the required modifications (facilitating student-centered pedagogy) to the existing content. This would help to make continuous headways regularly which will help to elevate the understanding process of the educatees over time. 

Real-Time Collaboration and Increased Productivity: When the capabilities of processing a mountain of information are harnessed swiftly, it gives rise to a dynamic learning environment. Elaborately put, it becomes easy to gain access to resources and kickstart a conversation with peers and instructors. Also, collaboration among the participants on projects remotely opens up.

Won't it be handy for the people who yearn to seek knowledge fast and there is a common platform for them to discuss ideas with colleagues as an additional mean with already-existing guidance from mentors?

All these assistances lead to ultimately increased productivity -- sounds wonderful, doesn’t they?

No Need to Wait for External Input: Since the big-data eLearning brim with relevant and significant facts and figures, it becomes possible to quickly get a complete analysis of learners' performance and where they need to pay extra attention. This enables educators/Learning and Development team to put in place a system swiftly wherein the students need not wait for the instructors always to point out the areas where they need to improve, as they get immediate feedback from the learning platform itself.

Conclusion
Elearning big data analytics platforms can be beneficial in many ways to both students and professionals especially when it comes to understanding their mistakes and progressing fast. Also, the knowledge-absorption process is quick and the chances of retaining information (what’s learned) are potentially high.

If you as an organization or a school want to harness the ability of such a fast knowledge processing and evaluating system, you can get in touch with VK Creative Learning.