With the global market for AI in education predicted to reach $6 billion by 2025, a growing number of AI technologies are being incorporated into education software systems.
While AI is altering the field of education, one area where its impact is most apparent is in learning management systems (LMS). Learning management systems (LMS) are evolving into intricate learning ecosystems, and artificial intelligence (AI) is playing a significant role in enhancing the efficacy, efficiency, scalability, and personalization of education.
This post will go into further detail regarding artificial intelligence (AI) in learning management systems and how it can be used to personalize learning experiences. Let’s start!
What Is a Learning Management System (LMS)?
An LMS is software that facilitates the planning, development, administration, delivery, and monitoring of virtual learning environments.
Learning management software is now used by many organizations, government agencies, educational institutions, and big businesses to achieve their individual training, compliance, and educational objectives.
For example, a government agency can utilize an LMS to give staff members the most recent compliance training, while an educational institution can use one to offer online courses to students all over the world.
Put simply, an AI-based learning management system is a digital platform that incorporates coming-age artificial intelligence technologies to maximize the management and delivery of educational content and learning experiences.
Difference Between Traditional LMS vs. AI-powered LMS
There are several differences between a traditional and an AI-powered LXP, such as Engagedly’s LXP, AI powers that and goes beyond basic functionalities by offering adaptive learning and personalized experiences.
Some of these differences between the two types of LMSs are listed below:
Standard LMS
AI-Powered LMS
Single Learning Path
All learners in a standard learning management system (LMS) follow the same learning route and speed.
Dynamic or Personalized Learning Path
AI-based LMS such as Engagedly follows a dynamic or personalized learning journey that adapts as per the learner and improves the learning curve based on the progress of individual learners.
Fixed Content Delivery
Standard or traditional LMS delivers fixed content for every learner without taking into consideration their individual learning pace and style.
Personalized Delivery
AI-based LMS personalizes content based on the unique learning pace and style of individual learners.
Limited Interactivity
Standard materials have a limited scope of interaction in standard learning management systems.
Interactive Engagement
AI-based LMS helps engage learners in various interactive experiences, thus promoting active participation among the learners.
All-Inclusive Approach
Conventional LMSs don’t adjust in real-time; instead, they use a single, all-inclusive strategy.
Adaptive Education Method
An environment of learning that is more supportive and tailored to the specific needs of each student is produced by AI-powered learning management systems (LMS).
The Importance of Effective LMS Management
While implementing learning management software can be transformative for most businesses, it also comes with certain challenges, right from the selection of the LMS to ensuring continuous performance management.
Here are some of these challenges:
User Resistance: When it comes to implementing new technology, employees of the company typically exhibit some resistance.
Technical Integration: Linking an LMS to an organization’s current systems can be a difficult and drawn-out procedure.
Content Migration: Generally speaking, transferring current training materials to a new LMS can be a difficult and time-consuming procedure.
An artificial intelligence-based eLearning platform uses machine learning and AI technology to perform tasks such as speech recognition, decision-making, language translation, and more.
Moreover, AI understands individual user patterns and preferences to offer suggestions; this enhances learning experiences by making them more personalized and effective in the long run.
Why Does Your Company Need an LMS in the AI Era?
Artificial intelligence has revolutionized the training function by increasing efficiency and effectiveness in various aspects, such as personalizing the learning experience and automating repetitive chores to increase productivity.
Data also suggests that 94% of employees would stay with an organization longer if there was an investment in learning, something that AI-powered platforms like Engagedly’s LXP enable easily.
An outstanding illustration of an AI-based learning management system (LMS) that provides individualized, ongoing learning experiences based on employee preferences is Engagedly’s LXP. This LMS enhances employee retention and performance in general.
With a plethora of intriguing features, Engagedly enables businesses to provide their staff with highly customized, engaging training that opens up countless development opportunities.
Key Components of Choosing and Managing a Learning Management System
Looking for a powerful AI-based LMS for your learning & development needs?
Here are some of the key components and factors to keep in mind when managing and choosing the most suitable LMS for your organization.
1. Customization and Personalization
With more employees wanting to learn on their own terms and expecting more flexibility in terms of engaging and interactive learning materials, the need for personalized learning is at an all-time high today.
It is, therefore, important to choose an AI-powered LMS that ensures personalized experiences for learners by closely analyzing their behavior, the type of courses they’ve interacted with most, and their preferred learning format.
This information helps you understand what’s most relevant to a learner and then present courses tailored to their needs so that learners enjoy a more effective personalized learning pathway.
2. Learner Profiling
A robust AI-powered LMS such as Engagedly should be able to gather comprehensive learner data, including varied learning styles, skills, experience, and preferred content formats. It should also be able to collect the data through a range of different methods, such as casual interactions, pre-assessment surveys, self-reported information, and more.
One key benefit of building rich learner profiles is that it helps the AI engine understand the individual strengths, weaknesses, and preferences of learners. This, in turn, allows the platform to identify the learners who need more help and accordingly choose learning paths, thus ensuring a more effective and engaging learning experience for all.
3. Content Management
Make sure to choose an LMS that is capable of making informed suggestions to learners by appropriately assessing and curating each piece of content on the platform.
It is best to go with a platform that can automatically sift through content that does not apply to a learner’s journey and puts only the most relevant content in front of them by learning the preferred formats of individual learners and curating the style of the course to align with the expectations.
Benefits of AI-Powered Learning Management Systems
Integrating AI into LMS solutions comes with a range of interesting benefits. Some of these are discussed below:
1. Personalized Learning Paths
By leveraging data to recommend pertinent courses, an AI-powered learning management system enables you to personalize learning and accelerates employees’ skill development.
Additionally, it can be scaled to fit any size firm, saving money, time, and resources while automating progress review and monitoring to keep all stakeholders informed of advancements.
2. Automated Grading
AI-based learning management systems can help trainers and educators with grading, especially for formats such as multiple-choice or fill-in-the-blank questions. This gives trainers and L&D teams more time to focus on other strategic tasks, such as teaching and helping learners.
3. Predictive Analytics & Reports
Learner performance, engagement, and interaction data can be gathered and analyzed with the aid of AI-driven analytics and reports, which enables L&D professionals to pinpoint areas that require improvement.
The L&D team may then make necessary adjustments to their training techniques and course material by using these insights. They can also give more resources or change their current methodologies.
4. Engagement through Gamification
The process of using different game components to engage and reward online learners is known as gamification. By incorporating AI-powered game strategies into your learning management system, you can keep staff members interested and challenged, which enhances the learning process overall and increases retention of the material.
5. Continuous Improvement
AI-powered learning management systems continuously learn from various user interactions and data, thus allowing the platform to improve and adapt further over time. Unlike traditional LMSs, which may receive updates but lack the same level of autonomous improvement, AI-powered LMSs ensure continuous improvement.
6. Real-time Assistance Using Chatbots
While virtual learning is quite flexible and engaging, it is not effective in satisfying learners’ curiosity about the material. Relying on trainers to do so can be both time-consuming and ineffective. AI-powered LMS addresses this concern well, as AI-based bots can work 24*7 and can act like real-time virtual tutors to answer learner questions immediately.
Learning Experience Platforms (LXP) vs. LMS
In this section, we will look at the differences between LMS and LXP-
Differences
LMS (Learning Management System)
LXP (Learning Experience System)
Meaning
LMS is a software to help you manage and distribute training courses by collecting and analyzing data.
LXP is an advanced technology that promotes a more self-paced, user-centric, and self-directed approach to corporate and institutional training
Advantages
LMS is a good option for data analysis and offering additional features.
The main benefit of LXP is for student-directed, personalized learning and content variety.
Content
LMS has SCORM-based, predefined content that is managed by the administrator
The content in LXP is xAPI-based and is both adaptable and student-generated
Focus
The focus of LMS is mainly on administrators, data, and compliance.
The focus of LXP is users, content, and personalization.
Users
The main users of LMS are L & D professionals and certificate seekers.
The main users of LXP are modern and self-directed learners.
Put simply, LXPs like Engagedly offer a very engaging, and adaptive learning experience by focusing on aspects such as user engagement, continuous learning, and AI-driven insights.
In comparison to other traditional LMS systems such as SAP Litmos, TalentLMS, and Adobe LMS), Engagedly comes with several interesting features and superior AI capabilities.
Among these are:
1. Personalized Learning Paths
With Engagedly LXP, you can move beyond one-size-fits-all training and create customized learning journeys catering to the specific roles, responsibilities, and learning styles of individual employees.
2. Adaptive Learning
With Engagedly LXP, you can ensure adaptive learning by accommodating the learning needs of any organization, regardless of size. The software also scales seamlessly, ensuring that all employees have access to the learning resources they need.
3. Data-Driven Insights
You can obtain insightful knowledge about your learning progress, training completion rates, and the general efficacy of training programs by utilizing Engagedly’s robust monitoring and analytics features.
You may use the program to analyze the overall impact of learning initiatives, pinpoint areas that need development, and enhance your learning strategy by making well-informed, data-driven decisions.
Use Cases for LMS E-learning in the Age of AI
To help you better understand the impact of AI-based LMS on training & development, here are some of the popular use cases:
1. Onboarding
Onboarding training is an essential aspect of every organization’s HR function. A good LMS solution can help human resource teams customize, automate, and deliver various onboarding tasks and development goals much more effectively to help new hires get on board smoothly.
For instance, Engagedly’s LXP is a great way to streamline the onboarding process, offering new hires personalized learning paths and compliance training.
2. Sales Enablement
With personalized learning for sales teams, Engagedly’s LXP helps transform them into a revenue-generating powerhouse. You can also use AI-powered LMS to equip your sales teams with the seamless mobile experiences, and relevant content they require to perform better and close their sales deals quicker.
3. Compliance Training
An increasing number of businesses today prioritize an organized and consistent approach to regulatory and safety compliance to help ensure safety and minimize risk and loss.
AI-based LMS serves as an excellent tool in assigning compliance training based on various criteria and keeping track of training compliance targets as well. With Engagedly LXP, you easily deliver targeted compliance training to meet industry standards.
4. Talent Development & Workforce Training
AI LMS can also help team HR leaders and learning and development (L&D) professionals to get a centralized view of the assessed skill levels of every single employee along with current and past training activities to help them deliver the most appropriate training to the right people. You can use Engagedly’s LXP here to foster talent development and build a future-ready workforce.
Measuring the Impact of Your LMS
If you are looking for ways to evaluate the success and impact of your learning management system (LMS), it’s crucial to track specific metrics and KPIs that offer insights into system performance, learner outcomes, and areas for improvement.
1. Course Completion Rates
This metric reflects the percentage of enrolled learners who complete the training or course. High completion rates indicate that the content is engaging and learners are motivated to finish. Low completion rates may signal issues with course design, learner engagement, or accessibility, making it a key metric for overall program success.
2. Average Engagement Score
The engagement score measures how actively learners interact with the training material, including participation in discussions, quizzes, and activities. A higher engagement score suggests that learners are finding the material interesting and are motivated to learn. In comparison, a lower score could indicate that the content needs more interactive elements or better alignment with learner needs.
3. Revenue
Tracking the total revenue generated from training sessions is essential for understanding the financial viability of your LMS. This metric not only highlights the direct income but also helps in evaluating the return on investment (ROI) of your learning programs, particularly if the LMS is a paid service or a key component of professional development.
4. Evaluation and feedback
Gathering and analyzing learner evaluations and feedback scores post-training is vital to assessing both the quality and effectiveness of the training material. Positive feedback indicates that learners found the material valuable, while critical feedback can provide actionable insights for improving content, delivery methods, or user experience. This also plays a significant role in customer satisfaction and retention.
Wrapping Up
Managing LMS in the age of AI requires a platform that can effortlessly analyze, personalize, and continuously adapt to changing employee needs, some of the features that Engagedly’s LXP excels at.
As an HR leader, now is the time to leverage AI-powered systems like Engagedly’s LXP to drive employee learning, development, and performance to new heights.
Ready to transform your workforce? Explore Engagedly’s LXP today and empower your employees with tailored, impactful learning experiences designed to fuel their growth and success.
Srikant Chellappa is the Co-Founder and CEO at Engagedly and is a passionate entrepreneur and people leader. He is an author, producer/director of 6 feature films, a music album with his band Manchester Underground, and is the host of The People Strategy Leaders Podcast. He is currently working on his next book, Ikigai at the Workplace, which is slated for release in the fall of 2024.