Exploring 6 Remarkable AI Applications In LMSs
Today’s corporate world is a mosaic picture of diversity and globalization. Employees from different backgrounds—be it region, culture, language, education, experience, gender, etc.—come together as one to achieve a common goal, and that is organizational success. To enable employees to accomplish this feat, providing them with relevant, effective corporate training is of utmost importance. And to help you with that, a Learning Management System (LMS) is essential. More so, to put your best foot forward, you should leverage Artificial Intelligence (AI) in LMS. In this article, we’ll see why you should leverage AI in an LMS, and after that, we’ll explore the top 6 applications of AI in LMSs.
Why Leverage AI In An LMS?
Each learner has their own unique learning needs and abilities. So, designing courses and conducting corporate training for a diverse set of employees can be quite challenging.
But there’s a solution that allows you to attend to the varied and diverse needs of your learners in the most effective manner. It’s the application of Artificial Intelligence in Learning Management Systems.
From tracking the effectiveness of your training sessions to tailoring learning experiences for each learner, using AI in LMSs is indeed a game-changer for facilitating learner-centric, high-impact corporate training.
Top 6 Applications Of AI In LMSs
AI has significantly changed and still continues to change the corporate training landscape. It is no surprise that the innovative AI technology holds the potential to enhance the LMS in a remarkable way. So, in this section, we’ll explore the top 6 applications of AI in LMSs.
Personalized Learning Paths
Personalized learning paths and high-impact training are like inseparable buddies. You cannot think of one without thinking of the other. Such is the importance of personalized learning in ensuring effective corporate training. Now that you know of the vitality of personalized learning, you will be able to appreciate the following application of AI in LMSs. AI in an LMS allows you to create personalized learning paths for each learner.
You no longer need to worry about the traditional one-size-fits-all approaches that often leave some learners behind or bore others who are ahead of the curve. AI leverages the learners’ past performance, preferences, and learning styles for predictive analytics. Based on this historical data, it recommends suitable courses, materials, and assessments that help learners make the most out of their training. Even better, the analysis improves accordingly as the learner progresses, ensuring that the learning experience remains engaging and productive.
Process or task automation is the standout application of AI in Learning Management Systems. AI can easily automate various monotonous administrative tasks, such as tracking employee progress, managing training schedules, generating reports, etc. It streamlines the training process by reducing manual effort and the risk of errors. Because of this element, the HR and L&D teams can better focus their time and energy on more strategic aspects of employee development. This ultimately leads to creating and implementing more efficient training programs.
The automation application isn’t just limited to HR and L&D teams. Trainers can benefit from it, too. By automating the evaluation process, trainers don’t have to spend a significant amount of their time and energy in evaluating the assignments and providing feedback.
AI can evaluate assignments, quizzes, essays, etc., and use the intelligent feedback mechanism to offer instant feedback to the learners. This not only speeds up the evaluation process but also ensures consistency in assessments.
AI-driven analytics in LMSs can provide invaluable insights into employee performance and engagement. From the number of course views to test scores to completion rates, using an AI-powered LMS is your one-stop solution. Moreover, you can monitor real-time progress, identify areas where employees may be struggling, and assess the effectiveness of training programs. With this comprehensive data at your disposal, you can easily make data-driven decisions that help you enhance your training initiatives and ensure that your employees are acquiring the skills needed for success.
In an ideal world, you can certainly expect trainers to be available 24/7 without fail. But we live in the real world. However, with the application of AI in Learning Management Systems, the gap between the ideal and real world for this particular aspect seems to be shrinking. By leveraging AI-powered chatbots and virtual assistants, you can ensure an on-demand availability of digital trainers that help answer employees’ questions right when they need it. They can even guide the learners through training materials for ease and convenience, thereby keeping learners engaged and interested in the learning process.
Relevant Content Recommendations
Think of the powerful algorithm of YouTube. Now imagine the same for your corporate training. Yes, it’s possible with an AI-enhanced LMS. It can recommend training courses to your learners based on their interests, past content interactions, learning objectives, etc. Whether it’s suggesting relevant videos, eBooks, assessments, or any other resource, AI uses data analytics to suggest relevant content that helps keep learners engaged and motivated.
Effective Content Creation
Generating content and generating effective content are two very different scenarios. The first one might seem okay, but to ensure an immersive learning experience and attain maximum training ROI, you definitely need to pay attention to the “effective” element during content creation. Check out the infographic below to know the top three elements of effective course design.
And how do you take care of that? This is where AI in LMSs comes in handy! AI can generate relevant training content and assessments that align with the learners’ specific learning objectives and contribute to the success of the training program. Moreover, it can also help you ensure that the existing training content remains up to date, compliant, accurate, and relevant to the organization’s present business goals.
Artificial Intelligence, without a doubt, has enhanced Learning Management Systems. It has made the process of managing learning more accessible, engaging, and effective. From personalized learning paths to automated processes and predictive analytics, AI has empowered both trainers and learners to achieve better outcomes. And as AI continues to advance, we can certainly expect more innovative applications of AI in LMSs that will enhance the training and learning experience even further.