AI Cheat Sheet for Your Learning Management System (LMS)

Before artificial intelligence (AI) and learning management systems (LMS), the training process was often a static, one-size-fits-all approach with little to no adaptability for different learning needs.

Now, an AI-driven LMS can create personalized learning experiences, curate content based on a learner’s needs, and generate quizzes, course descriptions, and outlines that make a training manager’s role easier and more effective. Imagine dynamic learning environments that shift based on a learner’s progress, content curation personalized to skill gaps, and real-time assistance that empowers learners to go at their own pace.

This cheat sheet from Skilljar will enable you to design effective learning programs that truly engage learners, optimize learning processes, and cultivate the desired competencies—all powered, in part, by the latest advances in AI technology.

The Skilljar AI cheat sheet

Below are the 10 steps to AI-powered LMS success:

How to use the AI cheat sheet

The cheat sheet outlines 10 considerations in the era of AI. Each step provides actionable advice for further exploration.

Use the steps as springboards to research, compare options, and make informed decisions.

How AI is used in training

An AI-based learning management system (LMS) goes beyond traditional classroom training to create a self-serve education experience that can personalize and optimize training experiences and improve the overall user experience. Here are some key ways AI is used to deliver training:

• Adaptive learning: AI can be used to analyze learner data, including performance, progress, and learning styles, to adjust the difficulty level, recommend relevant content, and suggest alternative learning paths. This ensures customized learning journeys that increase engagement and improve the learner experience.
• Content recommendations: Based on a learner’s interests, strengths, and weaknesses, AI can be used to suggest additional resources, articles, or courses that will further enhance their understanding and fill knowledge gaps.
• Learning analytics: AI can be used to analyze vast amounts of learning data to identify patterns and areas where learners struggle. This data can later be used to improve course content, teaching methods, and overall learning outcomes.
• Predictive analytics: AI can predict potential learning challenges or areas where learners might need additional support. This allows instructors to intervene proactively and provide customized assistance before issues arise.

Key features to look for in AI-based LMS

Here are some features to look for in an LMS that leverages AI capabilities:

• Personalized learning paths: Analyzes learner data, including learner performance, progress, strengths, and weaknesses. Based on this data analysis, an LMS can be used to create unique learning paths based on role, skills required, or knowledge level.
• Quiz generator: Generative AI Draws key points and concepts from existing course content to generate multiple-choice questions that test learner comprehension.
• Content recommendations: Suggests relevant learning materials and courses based on individual interests, goals, and learning progress.
• Course description generator: Extracts information from your long course description and creates a concise and engaging short description.
• Course learning objectives generator: Analyzes various course elements like titles, descriptions, keywords, and content to generate online learning objectives automatically.

Skilljar LMS with AI

Skilljar is a powerful learning platform that goes beyond the limitations of a traditional LMS. While it offers all the core functionalities you’d expect—course creation, delivery, management, and robust third-party integrations—Skilljar goes further by using AI to personalize and improve the learning experience.

Get a Skilljar demo to see how Skilljar’s AI tailors the learning experience, maximizing engagement and driving results.