Use AI with LMS
The world is in a kind of artificial intelligence (AI) gold rush, and the e-learning sector is certainly no exception. Everyone is looking for ways to use AI in LMS to give themselves an edge or increase their budget. AI will undoubtedly have a key role in the future of LMSS for years to come, but in this article we will now explore how to leverage the power of LMS AI for skill development. Some of the best AI features for LMSS will become increasingly available as standard within the platform. Others need some degree of integration. Let’s look at all the best ways to use AI with today’s LMS.
How to Use AI in LMS for Skill Development
Personalized learning pathways
Perhaps the most effective part of AI for skill development is the relatively long-standing LMS features, namely, personalized learning pathways. AI typically analyzes each learner’s role, previous learning, performance data, and career paths to create an individually tailored automated learning path.
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Trend Learning Management System (LMS)
The advantage is that learners obtain highly relevant role-based learning recommendations for achieving individual and organizational goals. This will have a knock-on effect at a higher level of engagement, and will save you a lot of time and resources spent on route planning and learning allocation.
Recommended Engine
Because we are familiar with online shopping and social media recommendation engines, we forget that it is an example of AI. The LMS recommendation engine has improved dramatically in recent years, and now offers sophisticated recommendations based on detailed data. For example, the machine learning recommendation engine can explore the average completion time to generate learner profiles, recently viewed content, and personalized recommendations for each learner.
It curates not only these personalized recommendations but also content that will attract learners. This includes trending content for the most viewed courses, resources, or playlists. Similarly, it may be based on popular activities with an average completion time of less than 5 minutes that learners can complete when they have a few minutes to spare. AI can also scan open learning resources such as YouTube, blogs, and third-party learning content providers to recommend tailored learning from a wide range of sources without overwhelming learners with endless options.
Adaptive learning
A very effective way to use AI for skill development is to use adaptive learning and adaptive testing. This is when LMS algorithms and AI automatically update learning content based on performance. For example, if a learner answers a question correctly in the assessment, a similar or somewhat challenging question will be provided. If they answered incorrectly, they will get the next simpler or more basic question.
Similarly, AI can be used to quickly test learners’ knowledge and engagement levels in real time. The platform can create dynamic quizzes and surveys based on text. These quizzes are adjusted based on performance, like other forms of adaptive learning. In this way, AI adapts the learning experience to each learner’s current level of knowledge. As their knowledge increases, it continues to adapt. This will reduce frustration and lead to less learning experiences. Learners can advance at their own pace with personalized feedback that boosts confidence.
Automated grading
Automated grading with AI has a clear advantage for L&D teams considering how much management time and resources are saved. However, this article specifically explores AI and skill development. Automated grading is also useful in this respect. With automated essay grading or performance assessment, AI provides learners with instant, continuous, and personalized feedback. This allows you to proceed quickly through your learning path without waiting for approval or grading.
AI chatbot
AI chatbots are a common sight on many websites today, and are also common on LMSS. Chatbots effectively become coaches for each learner. Learners can assist along the way in responding to questions and prompts. Instead of trolling the catalog, learners simply say, “How can I learn how to x?” chatbots can create instantly curated learning pathways so that learners can develop the skills they need.
AI chatbots can also be embedded in the course page. The course page allows you to provide encouragement and reminders based on the learner’s progress or period of inactivity. Chatbots can help to motivate and engage with more access to related learning.
Data analysis
AI can enhance the power of your LMS reporting system very quickly. Based on data collected by LMS, AI can analyze patterns in LMS data to predict interventions needed to improve skill development. This includes identifying learners at risk of failing or dropping out of a particular course. Similarly, it can highlight the skill development required to address the skill gaps of individual or organizational skills. As a result, AI can use data that has already been captured to improve the outcome of skill development that uses little or no extra costs for the organization.
Conclusion
The future of AI and LMSS is now intertwined and it is difficult to imagine it changing. As discussed, there are already a wide range of ways this new technology can be deployed to improve the way LMS is used for skill development. These AI features already offer time-saving and money-saving shortcuts, but crucially, they also have excellent results from skill development. These benefits only increase because AI technology continues to develop in PACE.
Synergy Learning LMS
Award-winning LMS platform. Totara Platinum and Moodle Premium Partners create great learning platforms for your organization to reduce training costs, increase employee retention, and promote critical training and compliance.
