How can Learning Analytics Improve the Performance of Corporate Training?

How can Learning Analytics Improve the Performance of Corporate Training?

There is an endless list of data analytics- big data, data mining, predictive analytics, and so on. Approximately 2.5 quintillion data bytes are produced daily across the world. And this influx of data is increasing unexpectedly. However, it is not only about big data. It is about analysis which gives valuable insights about your business so that you can make smarter decisions. And eLearning is one of the biggest industries where analysis can make a huge impact, mainly through learning analytics.

What is Learning Analytics?

Learning analytics describes collecting and analyzing data of learners and their contexts for optimizing learning experiences and outcomes. In other words, utilizing big data to enhance online learning is called learning analytics. Learning Management Systems gather enormous amounts of valuable data when your learners access various eLearning modules. This data can be filtered, sorted, and analyzed to look for learning patterns and insights to optimize learning. Learning analytics is an excellent benefit to your organization. 

The biggest challenge today by learning and development professionals is learning more about their learner’s behaviors. However, it becomes easier with learning analytics as you can analyze valuable data coming from an LMS. You can get deeper insights into your learner’s behaviors and patterns. This information is crucial for learning and development professionals as it helps them create effective and successful training programs for their employees. 

Learning analytics offers you a comprehensive look at how your learner is progressing through the eLearning module. You can quickly determine your learner’s performance or if he requires additional assistance in completing the course. Such valuable information provided by learning analytics can be used to determine if your training content is relevant and appropriate for your employees. 

Quality employee development programs are one of the top factors in employee retention. Employees are more likely to work for organizations that invest in their career and skill development. However, the best training programs are personalized i.e., and they use blended learning and other online learning opportunities to keep their learners engaged throughout the training process. Organizations across the globe are increasing their budgets for online training. Indeed, measuring and analyzing the data of their learners helps organizations to enhance their eLearning training content. 

With learning analytics, you can create an engaging learning experience that benefits your learners by helping them accomplish their training goals and objectives. 

What are the different types of Learning Analytics?

Let’s have a look at three types of learning analytics:

  • Descriptive Analytics
  • Diagnostic Analytics
  • Predictive Analytics

Descriptive Analytics:

Descriptive Analytics refers to the interpretation of historical data to recognize and understand significant changes in an organization. Descriptive analytics helps you identify areas of strength and weaknesses in a business. In short, it will give you answers about what happened. The information provided by descriptive analytics will help you make more thoughtful and relevant decisions to optimize your employee development training programs. 

For instance, if your data shows increasing bounce rates, there is a need to enhance your training content and implement an effective eLearning strategy. With this, you can quickly determine which training programs are not relevant to your employees. 

However, descriptive analytics fails to provide deeper insights into your training content. But you can use it in conjunction with other analytics like predictive analytics.

Diagnostic Analytics

Learning Analytics like Diagnostic Analytics refers to the techniques that deep dive into your data and provides valuable insights about why something happened. With this, you can get insights into a particular problem.

For instance, one of your training modules experienced low completion rates for senior managers, whereas new hires found it very effective. With diagnostic analytics, you can figure out if training content was way too basic for senior managers. This suggests that your organization needs to create an advanced level of training course for them. 

Undoubtedly, you need deeper analysis to cater to the unique needs of your employees and offer engaging and well-structured learning experiences to them. Ultimately, your employee’s performance and business revenue are maximized. 

Predictive Analytics:

Predictive analytics, as the name suggests, predicts what is likely to happen in future events. It forecasts the future based on existing data. Predictive analytics utilizes numerous learning analytics techniques like data mining, statistical analysis, artificial intelligence, and machine learning to make predictions.

However, it is essential to know that predictive analytics might not be accurate. Therefore, it is crucial to analyze the data carefully. 

Predictive analytics helps you pinpoint the potential challenges that your employees might face during training. This offers opportunities to learning and development professionals to provide targeted support during training. Additionally, you can enhance engagement rates by improving the quality of training.

How Learning Analytics can enhance your Corporate Training?

Learning and Development professionals are constantly required to report on the effectiveness of your training content. However, these learning analytics reports can be used in numerous ways to analyze learner performance, identify learning challenges, or gathering compliance data. 

Let’s have a look at 4 most important learning analytics reports that will help organizations to enhance the performance of corporate training:

  • Learner Progress
  • Course Enagement
  • Time Spent
  • Training Effectiveness

Learner Progress:

This is the most fundamental learning analytics report to consider while measuring the effectiveness of your training program. This report will quickly give you a comprehensive look at number of learners who have completed their training and learners who are lagging behind, enabling training instructors to provide required support. 

Furthermore, learner progress provides organizations with valuable metrics that evaluate your employee performance, activity statistics, and course completion time. 

Learner progress report covers the following:

  • Who is enrolled in the course?
  • What are start, end, and due dates?
  • Who has or has not completed the required course?
  • Measuring Learning Plan and Activity Statitics.

Course Engagement:

Course engagement is one of the most useful learning analytics report for creating future employee training programs. Because it allows instructors and managers to discover which module of the course was most successful and which one was the most neglected one. Furthermore, it enables a comparison between learner activity and results to determine how progressive assessments are for learning outcomes. 

Meanwhile, you can determine course engagement rates by considering the following factors:

  • Number of Sessions
  • Total Course Visits
  • Training Resources View
  • Assessment Completion Rates

Time Spent on Learning:

Time spent on learning plays a crucial role in learner engagement. From learner’s point of view, effectiveness and productivity of any eLearning course depends on time spent on learning. This is why, measuring course activity time is one of the most significant factors while evaluating training ROI. 

Let’s have a look at some of the important learning analytics metrics to measure in this report:

  • Time Spent on each Course
  • Time Spent on Activities (like assessments, quizzes)
  • Activity Completion and Passing Rates

Training Effectiveness:

One of the key goals of learning analytics is to measure training effectiveness. The ultimate goal of every employee training is to deliver valuable knowledge and enhance employee performance. However, measuring effectiveness of training requires both qualitative and quantitative data. 

Generally, the most significant insights are discovered across training programs and employee groups. Learning professionals can easily determine if training effectiveness is being influenced by course design, content, or instructional support. 

Metrics for measuring training effectiveness:

  • Course Assessments
  • Feedback Analysis
  • Trends and Insights across courses or training programs
  • Opportunites across training initiatives

Most Essential Built-in Learning Analytics Tools for an LMS

According to a research, quality and comprehensive employee development training programs boost revenue by 218%. However, not all training programs are effective and successful. Consequently, this makes it challenging for learning and development professionals to ensuring the success of their online training programs. 

Undoubtedly, with learning analytics tool, you can monitor your performance of training and anlayze data to make improvements. Learning analytics allows you to deep dive into your learner’s behaviour to understand and optimize their learning experiences. 

Let’s have a look at most important learning analytics tools that an LMS should have:

Data Analytics:

Data analytics is an essential part of learning analytics. It is crucial in determining the training effectiveness, optimizing learning outcomes, and enhancing learning experiences. Here are some valuable metrics to consider while analyzing training data:

  • Course Completion Rates
  • Learner Progress
  • Learner Sessions or Logins
  • Time Spent Learning
  • Learning Paths
  • Enrolled Learners
  • Assessments Performance

Analytics and Reporting:

Analyzing learner data manually is quite time consuming process. Therefore, organizations use LMS to provide valuable real-time learning analytics. Every LMS supports different reporting features and abilities. However, every LMS should have the following four essential reports:

  • Enrolled Users
  • Learner Activity
  • Learner Progress
  • Potential Problems

Predictive Analysis:

Today, every employee requires personalized learning as it can be optimized to cater to unique needs of each individual. This is especially necessary when training is delivered to employees living in different locations. 

Selecting an LMS that combines AI and predictive analytics will help you implement and deliver personalized learning solutions to your employees. Furthermore, you can strengthen your online training by collecting feedback from your employees. 

Why Choose KloudLearn?

KloudLearn delivers effective, personalized, and impactful corporate training with its intuitive and powerful Learning Management System. KloudLearn LMS offers built-in learning analytics capabilities that allow you to measure your training effectiveness and ensure your employees are making the most of their training. KloudLearn’s Reporting feature offers time-saving automated reporting allowing you to quickly analyze data and identify problems. This built-in learning analytics tool enables L&D professionals to transform their LMS data into actionable and valuable insights for crafting efficient and effective training strategies. Schedule a Demo today to learn more about KloudLearn.

Why is Soft Skills Training Essential for Your Workforce?

Previous article

How is Information Processing Theory Important for Corporate Training?

Next article

You may also like


Comments are closed.

More in E-Learning