Significance of Learning Analytics in context of eLearning Management System

One of the biggest pieces of the corporate eLearning puzzle is to ensure that your training and development programs are moving in the right direction. The right direction for your workforce training efforts is one where your training programs help you build a skilled workforce to drive business goals. Learning analytics helps you measure the effectiveness of your training programs which further tells you whether they are aligned with your organizational goals or not.

But even after knowing all the benefits of learning analytics, many L&D professionals struggle to use them to enhance their training efforts. In this article, we’ll tell you about some of the ways to use learning analytics to make the most out of your eLearning management system.

How to Leverage Learning Analytics to Make the Most out of your eLearning Management System

Here are 4 ways to use learning analytics to make the most out of your eLearning management system:

1. Curriculum Mapping and Competency Determination

Curriculum mapping is the act of identifying what the learners have been taught already and what to teach next. It is a collective process that includes analyzing the processes and assessments employed for core and content. 

By leveraging learning analytics, we can measure the effectiveness of our training methods which acts as a feedback loop in curriculum mapping. Learning analytics also helps us measure skill and knowledge retention rate leveraging eLearning Management System which is an integral part of competency determination. 

2. Behavior Prediction

Learning analytics can be used to measure indicators like time to proficiency. In other words, learning analytics will help you determine how well learners have mastered a topic which goes a long way in assessing a learner’s risk level.  

This further allows you to identify the employees who might face academic or behavioral challenges in future training programs on similar subjects. You get to leverage eLearning Management System to personalize the learning experience for those learners and ensure greater retention and lesser time to proficiency.

3. Personalized Learning

Learning analytics also helps you provide tailor-made, personalized eLearning experiences for each and every employee. By collecting the right data through eLearning Management System, analysis can be made on learning patterns, user preferences, prior performances, etc., to ensure better engagement by offering personalized learning experiences. 

Learning analytics also help you measure the learner’s response to different formats of content deliveries and varied types of assessments. This helps you choose the most suitable content delivery formats and assessments for future eLearning programs.

4. Identification of Specific Learner Difficulties

Learning analytics help you segment the employees based on demographics, work experience, history, and training behavior. They also help you identify their preferences for various training interventions. Valid assessments can help you identify the employee groups, and even individuals, who are struggling to understand or apply certain concepts. Having this information helps you provide enhanced support and a personalized curriculum to those segments of employees.

To sum up, learning analytics allow you to make the most out of eLearning management system in many ways. They help you design enhanced curriculum maps, predict learner behavior, provide personalized experiences, and identity specific learner challenges.

G-Cube is among the fastest-growing learning-tech organization in the entire Asia-Pacific region with 80+ awards in the last 6 years, and a noteworthy experience of 20+ years in the said domain. Our LMS (Learning Management System) Suite is highly compatible to the current eLearning needs of varied industries. For any queries, please do write to us.