5 benefits of machine learning in eLearning

With machine learning becoming a popular topic in e-learning, most instructors and L&D professionals are now getting curious to know about the benefits of machine learning for online training.
5 Benefits Of Machine Learning in e-Learning

Even though most people must have heard about machine learning, only a few fully understand what it is, and it’s benefits to e-learning. There are many benefits of machine learning for online training.

However, one needs to make use of the best practices to achieve the benefits and deliver a better learning experience. In this article, we’ll be looking at the benefits of machine learning and how it can improve online learning.

What is machine learning?

Machine learning is a branch of Artificial Intelligence (AI) that presents systems with the ability to learn automatically to increase their accuracy without being programmed.

The primary aim is enabling the machine systems to learn on their own, without any form of human intervention. Machine learning focuses on creating computer algorithms that can access data, and then using it to make future predictions.

Its learning process begins with observing, to check for data and make better decisions. Here are a few algorithms used by machine learning.

The supervised machine learning algorithm

In this category of machine learning, the system makes use of new data and previous examples to make future predictions.

So, a programmer can train the system by providing it with inputs and outputs without any other intervention. With time, the system will create targets for the new sets of data.

The unsupervised machine learning algorithm

It doesn’t involve any data classifications or labeling. The system makes future predictions by identifying patterns through data evaluation.

The semi-supervised machine learning algorithm

This category of machine learning algorithm falls between the supervised and unsupervised algorithms. Since one uses labeled data and the other uses unlabelled data, then semi-supervised uses small labeled data and a large amount of unlabelled data.

The semi-supervised algorithm helps the system by making improvements in learning accuracy.

Reinforcement machine learning algorithm

In this category, the system needs to complete a specific task. During the process, it continuously receives feedback through reinforcement signals, which it uses to learn the desired behavior.

5 benefits of machine learning in eLearning

Machine learning is the future of e-learning as it can offer online learners a variety of benefits. Let’s have a look at the benefits of machine learning on the future of e-learning.

Improve eLearning return on investment

With machine learning, a wide profit margin is sure. How is that possible? Well, you spend less on creating your online training while delivering quality training.

With help from predictive analytics, you can track your learners’ progress and other learning experiences. That’ll empower you to utilize your e-learning resources at the required time and place.

Delivers more personalized eLearning content

One of the benefits of machine learning is its ability to use pattern recognition to predict learning outcomes. For instance, a machine learning algorithm will identify where a learner is struggling with your course module.

After identifying it, it automatically makes adjustments by providing helpful information to progress. If a student exhibits a specific skill gap, the system automatically recommends content, in a personalized format, to help the learner acquire knowledge.

Employs chatbots as eLearning instructors

Chatbots are software built with machine learning and AI to interact with humans. This software can take the place of an e-learning instructor to deliver a better learning experience.

In case of questions, they are built to give precise answers to questions on a specific subject matter. Chatbots are essential in e-learning as they have no restrictions on answering questions or giving projects/assessments to students.

You can use them to create an interactive learning experience that learners crave. Furthermore, they’re readily accessible, and you can reach out to your instructor anytime to seek clarification on any subject matter with just a click.

Motivates learners to acquire knowledge

Another benefit of machine learning is its ability to motivate learners to achieve the learning goal. Unlike generic e-learning courses, personalized courses help learners to save the time of having to go through irrelevant content to acquire the learning goal.

So, with machine learning, you can deliver customized training that meets your learners’ requirements.

Irrelevant information can be distracting to learners. So by giving them exactly what they need, they can get motivated to complete your online training course.

Provide multiple assessment formats

No doubts, multiple-choice questions are one of the easiest to grade. That explains why most instructors prefer to make use of it for their training. However, with machine learning, you need not worry about that.

With the introduction of machine learning, you can access your learners’ knowledge with different quiz formats.

Machine learning is going to make lots of positive impact on the future of e-learning. The above are a few of the benefits that it can bring to your online training.

published at elearningindustry.com

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Naveen Neelakandan

Naveen Neelakandan

Naveen is the chief executive officer at Wizcabin. He helps organizations to optimize their elearning strategy by balancing the cost and effectiveness factors.

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