While it may be easy to look at AI and see it as just another learning technology feature designed to make it easier or cheaper, seeing AI for its true potential involves looking at customized training through an entirely different lens.
This means understanding the difference between each consumer. Without AI, customized content and its delivery and adaptation of personal preferences and learning styles are unlikely for each of your learners (“on scale” personalization). Personalized learning requires handing some authority over to learners, providing them with some feedback on how their learning practices progress.
Such apps can take personalization to a whole new level as the system essentially takes the wheel to push an individual learner’s journey’s overall effectiveness. Machine learning algorithms predict outcomes, allowing you to deliver specific content based on past performance and individual goals of a learner.
Online learners who demonstrate a specific skill gap, for example, receive tailored tips that create awareness in a more personalized way relevant to their skill gap. This could include circumstances where the program understands that a learner may actually be able to skip a few modules to take a more extensive and less linear learning path than someone who may lack the basic skills related to that particular subject.
A Few Advantages of Really Automated Learning — Powered by AI
Further learning with AI means expanding the scope of your learning content’s availability and effectiveness, particularly as it relates to the availability of accessible learning opportunities through smartphones and tablets and the creation of customized content that represents individual learner needs.
Raise engagement and results
Machine learning algorithms predict outcomes, allowing you to deliver specific content based on past performance and individual goals of a learner. Online learners who demonstrate a specific skill gap, for example, receive tailored tips that create awareness in a more personalized way relevant to their skill gap. This could include scenarios where the system would recognize that a learner might be able to actually skip a few modules to take a more comprehensive and less linear learning journey than someone who might lack the basic skills related to that particular topic.
Assign staff to value-added tasks
Learners get the exact online resources they need to fill in gaps and meet learning goals, which is equal to less seat time and hours of payroll preparation. Alternatively, workers get the details they need easily, as tools for online training are tailored to their personal and professional goals. In turn, L&D management and staff help spend less time reviewing metrics and reports in order to focus instead on delivering topnotch learning material. For AI, Big Data is managed by the program so that the L&D department can spend more time and resources on more important tasks.
Automate the scheduling and distribution of content
It’s ironic for such a game-changing technology that AI and machine learning are primarily designed to handle relatively menial, yet vital, tasks in the name of saving time for people to concentrate on larger picture activities. With AI, your learning platform may schedule coursework or provide resources based on results or simulations of individual learner assessments. This would create an environment in which it would be possible for each of your learners who enroll in any of the courses of your organization to automatically anticipate course maps and then change whenever the need arises.
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Without compromising desired results, you can spend less on on online training as predictive analytics and your AI-equipped learning platform track and forecast each move made by your learners. This also gives you the ability to launch tools for online learning wherever and whenever possible.
Made learning fully personalized a fact
- With AI instead of pre-determined pathways, the learner takes more control over the direction of their learning.
- AI gathers data to determine a learner’s knowledge of specific skills, then creates a constantly evolving learning pathway for him/her to take.
- AI doesn’t just enhance the learning platform but makes it responsive to learner needs by adapting intelligently to their request.