In an increasing trend, businesses are using artificial intelligence to automatically produce comprehensive and personalized learning content that fits their employees' individual needs and preferences.
As per a report last year by Oracle, only 6% of respondents mentioned using AI in an extensive manner in the targeted study but a considerable 33% percent of participants said that within two years, AI will provide personalized training and development to a high extent.
Personalized learning involves passing on regulated control to learners by giving them relevant inputs on how they progress through their learning events. It plays a crucial role in helping learners by acting as a filtering mechanism. In the learning context, this means suitable recommendations and knowledge curation. For example, targeted recommendations for learners who have expressed a particular skill gap, in a more personalized manner. This is applicable in scenarios where AI softwares would recognize that a learner might be able to actually skip a few modules to take a more comprehensive and less linear learning flow than someone who might lack the basic skills related to that particular topic. A higher level of sophistication comes when the system observes a person’s behavior, like where he clicks, what he views and then infers interests, tendencies, and goals as per findings.
AI-based virtual assistants in the form of chatbots, sometimes referred to as Learnbots are now a well-known L&D practice too. They now have an impact on corporate learning, particularly in the area of onboarding, where they serve as the first port of call for new hire training and let new employees learn as they work. Learnbots can also operate within or as a front end to Learning Management Systems (LMS) or Learning Experience Platforms (LXP). Bots being integrated within the organization’s general communications platforms like Slack or Microsoft Teams is also gaining popularity. This helps integrate training in the normal course of the day, as part of the workflow. Learnbots address performance and development issues in real-time.
Some organizations are pooling together data from several parts of the organization and putting analysis techniques like predictive analytics to work. This keeps HR departments one-step-ahead by identifying new areas of need, new opportunities for skills development and pinning high-caliber employees.
In a world marked by distraction, AI via personalized learning experiences is helping boost engagement and outcome by predicting outcomes and providing only the required content as per learner’s need. When learners receive the exact online resources that they require to fill gaps and achieve learning goals, it equates to less seat-time and training payroll hours. With AI, your learning platform could schedule coursework or deliver resources based on individual learner assessment results or simulations. This would create an environment in which it would be possible to automatically predict learning maps for each of the learners who enroll in any of the organization’s courses, and then readjust whenever the need arises. Ultimately, creating personalized experiences fueled by AI means better learning outcomes, improved productivity, and better ROI.
- Posted Date: 04-MAR-2020