Use Of Deep Learning In eLearning: LXP

Use Of Deep Learning In eLearning: LXP
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Summary: LXPs combine internal and external learning and information platforms from different businesses. Today's learners complete their coursework in online classrooms equipped with collaborative workspaces, interactive whiteboards, progress tracking systems, and other instructional aids.

Learning Experience Platform

There are countless chances for knowledge acquisition through online learning. Anyone can access educational resources, get in touch with qualified teachers, and get credentials, regardless of where they are. Additionally, technological advancements make eLearning a more relaxing learning environment. Learning Experience Platforms (LXPs) are Software as a Service (SaaS) applications hosted on public clouds. They combine internal and external learning and information platforms from different businesses into a single, consumer-grade experience that houses all learning in a simple-to-use interface powered by Artificial Intelligence (AI) and machine learning (ML). Online training has proven valuable and effective in remote, home-based, and hybrid working environments. Without stepping inside a physical classroom, learners may now connect, share, participate, and collaborate through virtual learning events, and self-paced digital learning.

How Does An LXP Help Improve The Employee Learning Experience?

Every business wants its employees to succeed in their undertakings in today's competitive corporate world. The best way to do this is to assist them to perform better in fulfilling the firm's goals, while also increasing their productivity by upgrading their skillsets. An LXP is essential in leading individuals toward self-improvement, while also speeding up their efficiency, teamwork, coordination, and career progression.

Different Ways An LXP Can Help Boost Employee Productivity

An LXP is essential in assisting firms to create successful learning modules and enhance worker productivity in several ways as a dedicated service platform. The following are a few applications for an LXP in this context:

1. Implement LXP To Support Employee Learning During Daily Work Schedule

An LXP's microlearning or bite-size learning principles can help solve this issue when it comes to workplace training. Employees have access to the company's Learning Experience Platform where they can watch brief tutorials, read blog posts about particular subjects, or take an interactive exam covering the skillsets needed for their job. With the aid of a Learning Experience Platform, they can effortlessly move from attending training to returning to their work and staying fully productive, while learning new abilities that increase overall work productivity.

2. Offer A User-Friendly Interface

Employees can tailor their learning experiences and increase their overall productivity by using LXPs to design their own learning routes using both internal and external content. LXPs are also intended to monitor employee progress and provide a clear picture of what training is now underway, what is due shortly, and how to explore curated top picks. A central dashboard in the platform displays information about how many courses each employee has finished, how many learning badges they have obtained, and how many training hours they have invested in courses.

3. Adaptive And Intelligent Features

An LXP's architecture and interface are created with social learning at its core, making the platform simple to use, boosting collaborative participation, and improving productivity. An LXP is fundamentally built on the principle of microlearning on the go, which allows staff members to explore course units, finish brief activities, and watch instructional videos from any device at their convenience.

4. Develop Practical Learning Suggestions

Businesses should give employees a personalized learning experience if they want to prevent having employees who are completely unproductive at work because they have lost interest. An LXP facilitates the design of customized learning techniques by utilizing cutting-edge ideas such as AI and machine learning. Typically, suggestions are based on employee profile attributes, hobbies, and past training data. LXPs can develop employee talents and continue to be effective at work because of this trait.

5. On-The-Go Learning

An LXP is a great platform for employees who prefer on-the-go learning, to make sure they continue to learn and be productive at work as well. An LXP makes learning extremely simple by having excellent compatibility with various platforms and kinds of content. It enables staff to learn and consume materials whenever and wherever they choose. In contrast to a typical Learning Management System (LMS), an LXP's core feature of learning in the flow of the job aids employees to learn and upskill better and increases work productivity to the fullest extent possible.

Deep Learning In eLearning

Machine learning is used in online training, just like in other industries. These are the top four advantages of having machine learning in eLearning.

1. Utilizes Chatbots As Virtual Instructors

A chatbot is a piece of software created with Artificial Intelligence and machine learning to interact with people. Chatbots may act as virtual instructors in an online learning course. They could answer questions from students. They provide a structured learning environment and act as substitutes for teachers. Like Apple's Siri or Amazon's Alexa, eLearning chatbots may answer queries and perform other tasks. They can also oversee project completion, give students homework, and keep track of their academic development. They can motivate students to complete their online courses by providing them with insightful feedback. To provide an engaging learning experience, eLearning courses can use chatbots powered by machine learning and AI.

2. Provides Individualized Learning Paths For Retraining Employees

Because the half-life of skills is ebbing, it is even more critical for employees to engage in ongoing learning at work to ensure a company's success. For instance, less than half of what you learned five years ago is still applicable today, and what you have learned ten years ago is obsolete. Therefore, it's essential to upskill people to meet the market's expectations continually. But how can you know what information your team already possesses and what they don’t? Each person may be at a different level of learning and prefer a different style of learning. A machine learning algorithm-based adaptive learning software may be beneficial.

3. Forecasts That Learner Engagement Will Increase eLearning Effectiveness

How successful is the new eLearning course you introduced? Are pupils interested in it? We commonly rely on feedback or make assumptions about engagement. You are unsure, nevertheless, if any students found the course boring or encountered problems while taking it. The input you gather considers the majority's views, which can suggest otherwise.

4. Enables The Creation Of Learner Profiles For Targeted Delivery Of eLearning

Profiling is done by applying machine learning algorithms to data. For instance, you might have seen advertisements or product recommendations when surfing the internet. These are based on data gathered from your previous searches or purchases. Similarly, student profiling is done utilizing data gathered about the learner and their prior educational background. It could be things like the learners' roles within the organization, responsibilities, interests, goals for professional growth, etc. Learners or groups of learners are assigned a profile based on their shared interests. Machine learning algorithms build a pattern based on the information gathered to provide effective eLearning.


Integrating machine learning into your eLearning program lets you keep tabs on how learners interact with the content displayed on screens. Machine learning can respond to the following queries:

  1. Did the content on a particular slide require the students to spend additional time understanding it?
  2. Did they spend more time answering the questions in the formative assessment?
  3. Was it because they were already familiar with the topic that they quickly skimmed some slides?

When such data is gathered, an LMS with machine learning capabilities can automatically direct learners to content that will help them learn more about a topic. If learners are already knowledgeable about the subject, it might give them content that encourages deep learning. As a result, the eLearning course is significantly more successful, and student involvement increases.