Overwhelming Importance of Learning Statistics

by Anand Tiwary August 08, 2020

The eLearning industry is not the same as what it was a decade ago. Now, competitors are focusing on personalised approaches and creating refined learning strategies to engage learners and hold on to them. However, the internet holds a large number of learners with varying capacities and varying subjects of interest. So how can you collect the data that you need to come up with the perfect plan to increase learner engagement and student retention rates for your online courses?

In this article, we are going to highlight the tremendous importance of learning analytics and statistics in the field of eLearning and digital academies. The most common mistake that L&D projects make while creating training modules and courses is ignoring learning analytics and creating a one size fits all course. Most employees and students today are focused sharply on career enhancement and upskilling courses.

A survey has found that 82% of employees are more engaged with work when they are offered development opportunities such as upskilling courses or career enhancement courses. One of the major reasons why learning statistics are gaining tremendous importance is due to the monetary losses faced by eLearning businesses when they fail to design a perfect online course or create a training module that is ineffective for their learner group. To know more about learning analytics and how they impact training programs, read the upcoming sections detailing their overwhelming importance.

Learning Analytics and how they can Improve Training Programs:

There are multiple ways to measure how effective a training program can be. These are important as the data from the descriptive analysis can be utilised to track various engagement, participation rates and test scores. This sort of knowledge allows the L&D experts to find patterns which help them determine what content is useful for employees and what content is confusing or frustrating. Predictive analytics data is based on the descriptive data but it is used to predict how a learner is going to behave and in general, his patterns and behaviour. This overall data collection is very useful to create User Experienced which are not general but very specific and personalised. This new type of learning experience is gaining popularity due to their proven statistics to increase efficiency, speed and effectiveness of the employee training methods.

Some of the critical training challenges which L&D teams have to handle is how to create a training which can cater to a diverse group. Different employees often have different preferences, backgrounds and skill level. Training programs which can be modified to adapt according to the learner’s behaviour helps to avoid this challenge of catering to a diverse group of learners.

Learning Analytics is very important for the development of user-centred design or a UCD. The function of analytics is to provide data and insights which make the user research much easier. It is also some of the first few steps to create a personalised learning path. After the collection of data, an AI can be developed to go through the data and create an individualized learning path for everyone which will suit their needs. Both the fields of predictive and descriptive analytics can boost the effectiveness of measuring a training and training evaluation by a popular Kirkpatrick’s model for evaluation can be measured accurately via the collection of Learning analytics.

Learning by Reacting

It is the first level of measuring the levels of the participants. It provides data about their engagement levels. Analytics helps to report and collect data to help understand the employee’s emotions better and the various delivery methods that are used. This feedback will help you improve your course accordingly and build upon areas where people find it hard or difficult.

Measurement of Learning

This level measures the amount of learning done by the training on the participants. Learning Analytics can be utilised to report and analyze data like quiz scores and skills assessment. They also help you estimate the amount of time needed yo complete it so that they can get better statistics of how much knowledge they are actually retaining. Enhanced retentivity means that they will use it on their job and hence it will be an added to their skillset. It also proves that the training program was successful and going on perfectly. Some reports can show you where employees are doing well and where they are struggling. This data can be used to improve the course even further.

With the growing need for a personalised evaluation of learners needs, it is becoming necessary for all eLearning businesses to focus on Learner analytics and statistics. To successfully generate the data required to create a perfect learner’s profile, you may need some premium tools that collect data about your learners to help you generate a personalised approach for a higher ROI in terms of learner engagement and retention. provides you with premium tools and the ultimate course building platform that you can use to create and sell courses online that are not only perfectly designed for your learner base but also engage them to the fullest with premium content and graphics.

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