Blog: How Artificial Intelligence in Learning Management Systems will Streamline Employee Learning – HR Technologist
Need to improve employee learning? Discover how artificial intelligence benefits learning management systems and streamlines the employee learning experience.
If we were to believe Hollywood, artificial intelligence is poised to take over the world and wipe out the need for humans entirely.
But the reality of AI doesn’t quite match up..
Although we’re still exploring the potential of AI, the type of AI currently in use is commonly referred to as Narrow AI. Narrow AI focuses on performing a specific job or task and doesn’t have unlimited learning capabilities like in the movies.
We use artificial intelligence in the form of Alexa, Siri, Google Home, online shopping, search recommendations, and more. If you’ve ever been automatically tagged in a photo on Facebook that’s Facebook’s image recognition AI at work.
Artificial intelligence is at work in our lives every day without even realizing it. It serves to make our lives easier but still requires human input to function. Considering the increasing use of AI, one of the greatest opportunities for AI to be realized is in learning management systems.
What Is Artificial Intelligence?
Before we jump into the use of artificial intelligence in learning and development, it’s important to understand what AI is. AI or artificial intelligence simply refers to the capability machines have to learn and process data on their own using data sets.
Once a machine learns from the data they collect, they can make “decisions” on their own, based on the data they’ve collected.
Machine learning is simply an extension of AI and refers to machines that are trained to analyze data and trends. These machines build their own algorithms from the data they collect and use it to make “decisions” without human intervention.
Learning Management Systems
Currently, AI plays a small role in learning and development systems through E-learning and learning management systems.
These systems are some of the best ways to help students learn because they increase retention up to 60%, allow multiple students to receive instruction at the same time, and offer opportunities for improvements and customized education in the future.
Data gathered by your LMS through surveys, ratings, comments, and course metrics needs to be updated by human hands. And even the best artificial intelligence can’t make up for poorly created content.
Keeping learning and development up-to-date through LMS AI resources takes, time and even AI needs a little human help to enhance learning and development.
The Future of Learning Management
Today’s intelligent learning management systems help pinpoint where students need additional education and training as well as where you can optimize your course content in a faster and more accurate way than you can without the assistance of artificial intelligence.
But AI’s role is constantly expanding across every industry.
Perhaps the greatest realization for AI in the future of learning and development is that it will help anticipate the user’s learning path and behaviors, predict their learning needs and provide content based on how users learn best and increase the effectiveness of e-learning and LMS courses.
Anticipated Learning Path
As AI continues to improve in the future, it will become easier for systems to create customized learning paths for individual users.
Transforming learning and development through an anticipated learning path means that artificial intelligence will assess user performance and determine which information path is best for the user.
AI with these capabilities will provide recommendations on what kinds of information a user’s needs, much like Netflix or Amazon provides recommendations on what shows you should watch based on your viewing behavior.
Aside from helping users find better learning paths, artificial intelligence can also assist in learning and development by helping teaching professionals understand what their employees need to learn.
Through data pattern identification, learning management systems collect data and statistics on students to find learning gaps and opportunities that teachers may not have noticed or realized.
Using pattern identification, and data, artificial intelligence can help identify opportunities to merge new ideas with previous topics to create a well-rounded learning experience for the user. This allows administrators and teachers to cover learning gaps they may not even realize exist.
Artificial intelligence can also assist learning and development efforts by helping teachers find ways to make courses more effective. One of these ways is through gamification. If done properly, gamification can make learning more engaging and increase information retention.
Increasing course effectiveness can also assist teachers directly by making it easier to find opportunities to make the course more effective, fill informational gaps, automatically grade students, help with onboarding, and get the instruction process moving.
Artificial Intelligence in the Future of Learning and Development
Although there are many unknowns in the future of AI, applying the tools we have to improve the future of learning and development will help us create a more personalized approach to our e-learning and learning management systems.
Artificial intelligence shouldn’t be looked at as a replacement of humans in the educational process, but as a support system that allows us to take individualized learning to the next level.