LXP: Using Deep Learning in eLearning Courses

LXP: Using Deep Learning in eLearning Courses!

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by Liubomyr Sirskyi
Copywriter at Kwiga

Our world is slowly moving toward total digitalization. So it is not surprising that some courses are taught with artificial intelligence. It can explain the material, test, and interact with students. But how can a machine make such a big difference from live instructors? All this is possible thanks to Deep Learning technology. Let's take a closer look at this question and find out why machine learning is a promising phenomenon for eLearning.

How LXP Platforms Can Improve Online Learning Experience

LXP systems are SaaS platforms that run in an open cloud environment. It allows various internal and external resources to be combined into a single learning ecosystem with tools based on artificial intelligence (AI) and machine learning (ML). While traditional LMSs focus on managing the learning process, LXPs make an e-course more personalized and exciting for students.

That said, you cannot call LXP a separate technology. Instead, it is a system that uses artificial intelligence and machine learning to deliver learning content and create a personalized learning environment.

LXP provides course recommendations based on prior knowledge and modules completed. In doing so, students are given greater freedom to choose what and when to study.

Online learning has proven effective in remote and hybrid formats over the past few years. Now, students no longer need to attend in-person classes. However, they can participate in classes or simply communicate through virtual rooms and self-study solutions.

The benefits of online learning are appreciated not only by online schools but also by large companies. After all, every business wants employees to succeed and stand out among other professionals. And the best way to achieve this goal is to improve their skills, thereby increasing the value of each person. LXP allows employees to understand company goals better, improve team performance, and encourage career growth.

Does Deep Learning Mean That Machines Work With Students

People who are not familiar with technical terminology often confuse eLearning, Deep Learning, and Artificial Intelligence (AI). Let's clarify: the latter two concepts are designed to automate the learning process using computers. As of now, Deep Learning and Artificial Intelligence are actively used in the eLearning industry.

The concept of Deep Learning sounds louder and more unusual simultaneously. At the same time, Deep Learning does not involve the use of artificial intelligence as such. In this case, AI techniques are simply used to train an online learning system to find solutions to various issues on its own. Computers are responsible for analyzing data and identifying specific student behaviors.

In this case, computer solutions work much faster than humans due to preloading the data and applying unique algorithms. It's also much better than creating a separate automation system to iterate through the tasks of an electronic course. That is why Deep Learning technology is increasingly being used in eLearning.

What Are the Benefits of Deep Learning Concept

Machine learning is already becoming a familiar phenomenon for online learning after the success of streaming services and video platforms. It has several decisive advantages that make Deep Learning an indispensable tool for any online course.

Individual Development Plan for Each Student

Due to the rapid development of digital technology, the period of obsolescence of knowledge has shortened. For example, applying less than half of the knowledge acquired 4-5 years ago is still possible. But if a person learned something at the university 10 or even 15 years ago, they must be retrained. And it is desirable to pass the course without giving up on the main work to make a successful career in the future.

In the end, it is critical to start improving their own skills to keep up with the times and fully meet the expectations of employers. But how do we know exactly what a person needs to learn? To do this, you first need to determine your current knowledge; then, the system will understand the student's learning style and create an individual development plan for each user. To do this, you should correctly choose a software solution based on machine learning techniques.

Chatbots as Virtual Assistants

A chatbot is a particular program simulating a real user conversation using artificial intelligence and machine learning. In addition, it can sometimes replace a live teacher in an online course. The reason is simple: the system can be trained to explain material in class and answer students' questions, like a real teacher.

Chatbots act as a means of providing a clear structure to an e-course. Like Siri or Alexa, virtual assistants can give homework assignments, monitor their completion, and track each student's progress. In addition, chatbots can provide motivating tips and meaningful feedback for your tasks. You can add a chatbot to your curriculum to make learning fascinating and engaging.

These virtual assistants are often great for giving lectures on essential topics. In that case, they do a great job as online consultants and can improve student interaction during the course. However, involving live instructors for more complex topics requiring thorough preparation and unique knowledge is better, making the learning process more effective.

In the future, chatbots may become like virtual tutors, participating in every dialogue with students. It will make it possible to offer help as quickly as possible on questions of interest to them.

Learner Profiles for Better Target Audiences

Creating student profiles results from processing student data with machine learning algorithms. For example, when you use a browser or a search engine, you probably see personalized ads or recommendations for products and services. These are suggested based on your previous purchases or search engine queries.

Similarly, an online learning platform creates student profiles based on data about previous education and actions throughout an e-course. It includes different data types: a place of work, hobbies, interests, learning goals, etc. As a result, each e-course participant gets a personal profile with all the necessary information. And Deep Learning technology allows you to build an individual learning scheme based on this profile.

Increasing Student Engagement for More Effective Learning

It is another benefit of using Deep Learning technology. After the first edition of a course, its creators often wonder how successful it was. Were the first students interested? Did they have trouble when passing modules?

Usually, online course creators rely on student feedback or anticipate possible engagement. However, they cannot always be sure that some students were unhappy with the course or had problems while taking it. The best option is using the online solution based on Deep Learning algorithms.


Integrating Deep Learning into an educational course will take learning content to the next level and allow you to track each student's progress qualitatively. Deep Learning technology answers the following questions:

  • Do students spend more time understanding specific information?
  • How much time do users take to complete midterm and final tests?
  • What is the retention rate for video lessons and text materials?

Once the system has collected all this data, the online Deep Learning-enabled platform can offer personalized content to students to gain valuable insights into specific topics. If an experienced person attends the course, the system will provide material for them to learn the chosen topic in greater depth. As a result, the e-course becomes more effective by increasing student engagement, and this means that interest in the learning material will grow many times over!

We hope that you found our article helpful. If you still have questions about using machine learning algorithms in electronic courses, write them in the comments below. We'll undoubtedly answer them, and the most interesting ones will become the basis for our future materials!