Big Learner Data and Corporate Training

August 6, 2015
260 Views

Data is expected to continue at the heart of corporate decisions, considering that certain companies are investing heavily in analytics tools, analytics staff and expertise in the same. Companies making these investments are already performing better than their competitors.  Among businesses that deal with consumers and retail, big data is already very important. The same is expected to revolutionize and transform training on the corporate level.

Data is expected to continue at the heart of corporate decisions, considering that certain companies are investing heavily in analytics tools, analytics staff and expertise in the same. Companies making these investments are already performing better than their competitors.  Among businesses that deal with consumers and retail, big data is already very important. The same is expected to revolutionize and transform training on the corporate level. Learning and development experts, including human resource professionals, are becoming increasingly data-enabled as learner data helps them to make decisions related to skill development.

Big data makes its way into training in various ways. From knowing the needed development and learning required, including the topics to be covered, big data also helps to know how information is being used and embraced. It also helps to know what works in learning and what doesn’t and availing the reasons why this is so. Through analytics and technology, training can now be improved and adapted for better delivery through the use of real-time information on learners.

Through learner data, exclusive information is accessed. The same is also well understood and has been effective among elearning companies.  HR with an interest in learner data and using it successfully will end up with relevant and responsive learning that is also very effective. Big learner data can be used to enhance employee development in a number of ways.

Learner data in delivery

If big learner data is analyzed, patterns can be found out to help in standardizing training modules as well as standardizing terminologies for a company with a global workforce. This allows global employees to grasp the communication and language skills required in effective communication among themselves, customers and suppliers.

Blending different approaches

It’s now clear eLearning enabled by data can be blended with one to one support to get the best results. A survey of eLearners found out that over 80 percent of learners in the corporate setting found face to face course introduction very useful. Another 83 percent appreciates the feedback given by trainers who are there physically. Online training and classroom combinations have been found to deliver quality results at the same time boosting employee engagement.

Training through diverse devices

To engage learners, modern training is also provided via different devices. Elearning is interoperable and allow learner data input to be done from diverse sources, even as data collection is done from all manner of learners. Elearning systems have their interoperability standards evolving as they offer a regular input of learner data sourced from many devices.

Personalized learning

Big data is also critical in personalizing training and learning experience. This allows conventional learner data like exam results to be blended with data that is more detailed showing the progression of a student during the learning process, raising issues if any and ensuring immediate intervention is available if the learner is stuck.  Through big learner data, it’s actually possible to know the learning modules a specific learner works best with and those he/she has a problem with.

Protection of data

During the process of developing employee related training from personal data, security and privacy concerns need to be looked into. Protection of data globally is not uniform and privacy concerns vary from one nation to another. Privacy is however not a concern anymore when it comes to utilizing learner data; regulations on data protection are getting embedded with lots of suppliers of learning solutions helpful in navigating the privacy laws.

After the consolidation and collection of big learner data in one area, it‘s converted through the best analytics into actionable, viable and clear information. This includes finding learners who respond better to visual-based learning as sales persons interact better with mobile based learning. Other learners might be found to learn faster than others and could require some additional training.