Big Data Should Be on Your Organization’s eLearning Radar (Analytics Are the Reason Why)
Big data is not solely reserved for the healthcare industry or marketing. In fact, as emerging technologies impact eLearning and design modules for training improves, there exists a wide expanse for new possibilities. With big data changing the face of nearly every industry, the corporate training niche is positioned to benefit in a significant way.
For the learning industry, big data is defined as the data learners generate when they participate in a training course or learning activity. For example, when a user takes the required modules for learning about company policies, the organization acquires data. Organizations can collect this, and other data, procured from social sharing, monitoring progress or sharing content socially, for its own benefit.
However, big data is not just the data itself that’s collected; it also refers to individual bits of the data. These can be looked at in isolation, or in a group. It’s the analysis of the data that holds much promise. For instance, the organization can assess how learners are acquiring information, the pace needed to digest the information, and any problems that arise with the training strategy. With this information, organizations can make adjustments that result in even more efficient training.
Harnessing the power of big data allows organizations to reap many benefits. The analysis of data will affect – for better or worse – the future of eLearning programs and change the way we assess learning experiences and analysis of the structures. These are just some of the significant benefits big data offers:
In the past, organizations had to muddle through analysis without holding the valuable insights necessary to truly understand the learning experience. With big data, an organization can gain insight into learning patterns, styles and competencies. For example, it’s possible to compare the effectiveness of a text-based learning situation against a reality-based one – if the organization is collecting the data.
With big data driving analysis, organizations can make adjustments in the eLearning module or course to drive its effectiveness. If many users are taking longer to work through the learning material, the data can indicate if a change should be made to the material itself, or if the learners require additional learning formats or mediums.
Big data offers valuable analysis of learner activities, such as which learning modules employees use most often or which training components are shared. For instance, if the data shows that learners use Twitter to share learning links, the organization can focus its efforts on that social media platform.
Organizations that harness big data for eLearning need not wait for results. They can gather data immediately and then assess the training program, as opposed to waiting for data. As a result, organizations can change directions quickly and make adjustments promptly to fine-tune their eLearning programs.
Big data is powerful, and organizations that use it can swiftly and efficiently redirect their learners’ potential. By utilizing big data, organizations can accurately assess eLearning training systems and make dynamic changes to enhance employee growth and development. As a result, the organization will possess the capability to have a competitive, highly skilled and trained workforce. For assistance in big data analytics and information contact us today!
