Employee training is undergoing significant evolution towards newer technology and software programs with embedded AI. These platforms take a more powerful approach to balancing employee training, knowledge distribution and personal growth. In particular, the usage of AI, ML and software platforms driven by big data algorithms is opening up completely new ways to view employee training at scale.
What's wrong with traditional online learning for scaling employee education?
Most businesses look to scale employee education through the use of online learning. The difficulty with most online learning is that it is old technology, produced at the very start of the Internet. While it provides many workers to access education, it doesn't offer any other scaling advantages. The most popular online learning form, SCORM, cannot offer individual experiences for each worker, tracks very little data about employee education, does not allow the sharing of data and knowledge between workers, and is extremely cumbersome to refresh and change.
This is large because most online learning is a latent environment.– built in a specialized piece of software, stored and exported, and then acted like a movie by each employee. Unlike face-to-face education, there is a limited engagement and no understanding of teamwork when completing most popular online learning.
In various other businesses, digital transformation is giving more personalized experiences, more complete reporting, an upgraded user interface, and a far greater return on investment. Let's analyze the impact technology such as AI or ML could have on your employee training.
AI is the Key to Boost your Corporate Learning Efforts
Corporate training is nothing new for most companies, and many global players have now realized its benefits and have invested in developing their learning plans. Despite those increasing efforts, many companies are having a hard time turning employees to utilize corporate learning.
Companies must realize that employees are their internal clients; employees get into the company purpose and become advocates for the brand to bring more talent. They are more interested in gaining more skills that will make the business better. The sense of the content being personalized is the answer to learner engagement.
The individual, their requirement for an individual training experience, and their case-by-case terms of content items appear to be an impossible task at first, but AI is a comprehensive tool to assist with this.
How AI Can Change Employee Training
Expectations from employees are at an all-time high about skills, knowledge, and output. With the requirement of the hour being "doing extra with less," and as technology takes away the common tasks, every employee is now required to offer greater value to the company. In conclusion, it is absolutely crucial for employees to feel satisfied and connected with the company regarding both matters and objectives. And, this means greater commitment. Each employee must be involved in the workplace to perform better. This is exactly where Artificial Intelligence can give great value.
AI inspired with employee training programs gives greater automation, personalization, data penetrations, and long-term sustainability than ever before. Artificial Intelligence will deliver greater insights from the large amount of employee data in the LMS and will increase it with expert analysis. It will certainly help create personalized training programs for workers.
In an age where continuous digital disruptions are quickly widening the skills gaps, Artificial Intelligence stands to give many advantages in the reskilling and upskilling of workers. Companies need to look to AI to know the skill gaps created by digital generation and help close them by suggesting required skilling programs to employees. For businesses, this means a future-ready workforce. At the same time, it is an excellent opportunity for employees to further their jobs and professional improvement and stay relevant in the years to come.
With Artificial Intelligence, L&D experts can get a better understanding of modern learner behavior and help produce learning pathways to improve the learning activity. Practicing such predictive analytics can further develop smarter learning content, natural and responsive to the learners' learning adventure. AI will surely transform how content gets delivered while promoting knowledge retention.
Another good-to-have application of Artificial Intelligence for personalized learning is matching each employee with a chatbot. The chatbot will smartly transfer learning, either as an open-ended program or Just-In-Time complete an activity. This is particularly critical for sales reps and an organization's portable workforce.
AI-powered training solutions will help track and measure learner progress while also giving insights on retention and knowledge so that L&D experts can revise the learning plans to suit the learners' needs. With AI, L&D specialists will have entrance to critical insights on the favored time and place of active learning, and also give feedback on increasing learning productivity. Data insights, such as program completion times, video/text content choices, learning modes, etc., will help L&D consistently address the pitfalls in education.
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