The eLearning industry has undergone a technological transformation in the past couple of years, and it continues to evolve – all thanks to Big Data-enabled technologies like AI and immersive tech. And with upskilling and reskilling initiatives gaining more precedence in the new normal, businesses need to invest in the right technologies to create meaningful learning programs with learner-centric experiences.

Big Data Analytics is one of the technologies that has made considerable headway in the eLearning industry. It refers to the data generated when learners participate in learning activities. Organizations then analyze this data to understand its various parameters like the pace and simplicity of acquiring knowledge, any issues or bottlenecks in their L&D strategy, and more. Its inclusion in the eLearning industry was further encouraged due to its positive impact on digital transformation efforts. Big Data is increasingly becoming pivotal to creating fail-proof learning strategies that cater to the learners’ as well as organizations’ requirements.

Why Big Data Analytics? 

The utilization of Big Data Analytics in the eLearning industry is on the rise since more and more organizations are realizing its benefits for their learning initiatives. Big Data analytics transforms your learning experience and assesses its output as well. Some significant advantages include

• Understanding content and learners: Big Data analytics helps organizations understand how learners consume data and which learning segment has the highest audience. It allows professionals to understand which format (text-based or reality-based) of the training modules perform better. Big Data helps organizations narrow down particular aspects of eLearning modules that require further fine-tuning.
• Insights on the learning materials: With Big Data, organizations get detailed analytics on which modules are frequented, their complexity, which learning materials get shared most during social learning, where learners excel, and so on which helps them tweak the courses to cater to all learners. It also allows course designers to create modules or snippets that are shared across different media platforms.
• Rapid assessment: Instead of waiting for extended periods for assessment results, Big Data serves instantaneous data and insights. This allows accurate analysis and implementation of changes for desired outputs effectively and rapidly.

Big Data Analytics’ impact on LMS platforms

One of the most crucial impacts is that it allows L&D professionals and learners with customized, informative, and engaging learning courses. Following are four major reasons why every learning initiative should consider leveraging Big Data analytics to create a superior learning experience:

Focusing on productive eLearning strategies and eLearning goals

Big Data analytics help organizations understand which strategies are working and which are ineffective in achieving their learning goals. With accurate data, it is possible to allocate resources to working methods and empower learners to reach their skilling goals.

Critical feedback

The traditional method of online discussions and surveys may provide data on the effectiveness of the learning courses and modules, but Big Data helps pinpoint the exact instances of the eLearning modules and learners where they need to be improvised. Similarly, the analytics also enable organizations to understand if a particular module is complex or too long, which subsequently might have a lower completion rate – such situations call for modification of the learning module to boost its effectiveness.

Designing personalized eLearning modules

Big Data analytics provides organizations with various data points like the pace at which learners are acquiring knowledge, which learning model works for them in terms of delivery and content, and so on. These details help businesses provide more engaging and personalized eLearning modules and help to cater to the individual demands of learners – all while offering meaningful and high-quality learning experiences.

Track learner patterns

LMSs can track a learner’s progress from start to end via Big Data analytics. They can harvest complete data on various metrics like how well a learner has performed in different assessment sections, the time needed to complete a particularly complex part of an eLearning module, and so on. Such patterns help understand the learning behavior of individuals and groups as well.

Conclusion

Big Data analytics provides L&D leaders the exact details like how learners acquire and assimilate their knowledge, in-depth understanding of the eLearning process, and the efficiency of their delivery method. It helps transform the skilling initiatives with a win-win scenario for both the learners and the businesses. Leveraging Big Data analytics can enable organizations to unlock the true potential of their learner data and create more learner-centric experiences to prepare a future-proof workforce.

Adeptus Tech helps businesses leverage Big Data in a way that caters to their workforce requirements. Reach out to our experts today to learn more.