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When you invest in eLearning, you are keen on understanding how effective it is for your employees. You hope that it brings a high return-on-investment and you can justify your learning budget. But, is it possible to calculate these factors? Yes, it is possible with the help of predictive analytics. Most learning management systems have predictive analytics features embedded. Analytics for eLearning is a rich source of Big Data. It gathers realms of information from learner progress and helps fine-tune your eLearning. Learning analytics is a way to anticipate what the learner needs in the future based on his present performance.
Learning analytics depend on algorithms and data from the learning management system. It studies how a learner performs on different activities, how they score on assessments, how they move through the modules, and so on. It gathers all the data and uses special algorithms to project how the learner will perform in the future, what kind of courses should he take up to enhance his performance, what kind of activities will keep him hooked, etc.
There are two ways in which you can set up predictive analytics in your organization.
The data from predictive analytics can be utilized to reap rich benefits for the learning organization. Here are a few reasons for you to tap into the power of predictive analytics.
Every employee has their specific training needs. You could offer them generic learning but, they will not benefit much from it, and that’s not what you want. Learning analytics help you understand individual areas of improvement. Once you identify the weakness, you can design your content to hone the relevant skill. Learners will be glad to take up the training as they know that it will add value. You can track their growth path and offer relevant learning resources to help them achieve their goals.
Your employees have individual career goals. They need to improve themselves based on where they want their career to reach. Most organizations offer them customized learning path. Now it is up to them to excel in it. Data collected from analytics can be used to warn the learners if they deter from the track. It keeps them in the loop about their progress and allows them to course-correct if they are falling off the required track. Facilitators and instructors can identify the trend early and intervene when necessary.
When your employees receive personalized training, their productivity is high. As a result, they are happy employees. And, happy employees stick around. Employee turnover is a big challenge. You not only lose talented people but also need to invest time, money, and effort in replacing the lost talent.
In large organizations, it might not be easy to keep a tab on the learner engagement trend. Learning analytics go a long way in tracking the activities of the learner. If there is a trend towards lower engagement, then early interventions can resolve the situation. For example, if more and more learners are unable to complete the course or dropping out mid-way, then chances are that the course is not that effective. If the data shows that learners have spent sufficient amount of time on the course and yet have not fared well in the assessment, then chances are that the assessment is not designed optimally. Learning analytics can help you improve the quality of the course so that your learners can benefit from it fully.
Designing Digitally, Inc. can work with you to better understand the needs of your learners. By taking a custom-content approach to online learning, we can work with your team to assess the best strategies for implementation of any course you look to develop.
Get in touch with our Learning Solutions Specialists today.