Is Machine Learning The Future Of E-Learning? 1
by Aether in
Computers Websites

Last Updated on September 12, 2019 by Aether

Machine Learning, the most popular catchword in the field of technology has been making its mark in the elearning space as well. Until recently, there have been massive breakouts in the realm of machine learning which have been enough for transforming the learning experience altogether.  Hence, content providers for machine learning development also need to remain abreast of the latest advancements and try to incorporate the same into their material. 

Virtual reality is another such sector where you need to remain watchful of the enhancements that take place. Elearning content providers for VR training leave no stone unturned and take care of the content updates as and when required. E-Learning which is said to have established itself as one of the best learning methods in the current date involves significant contribution of machine learning. But how? Read on to learn and enhance your knowledge about machine learning and all its related details. 

What is Machine Learning?

The study of algorithms and statistical models which are used by computer systems to perform a specific task without using explicit illustrations thereby relying on patterns and references instead is referred to as Machine Learning (ML). It is viewed as a subset of Artificial Intelligence which makes every new piece of information obtained by the program intuitive. 

It is being used in many places today perhaps more than one can even expect! 

Role of Machine Learning in Transforming E-Learning

Mentioned below are the different ways application of ML is enough for making flexible, customisable, and learner centered learning management system. 

  • Creation of more personalised e-learning content

As stated above, machine learning algorithms use pattern recognition to predict outcomes thereby providing users with the content which is aligned to their past performances and individual goals. Likewise, to build related talents and abilities, online learners exhibiting a particular skill gap receive targeted recommendations which helps them gradually grasp the knowledge for the skill set required. Moreover, the system delivers eLearning content in a more personalized format. It may even skip several eLearning modules for advanced online learners or follow a comprehensive, linear approach for those lacking basic knowledge.

  • Automating time-consuming tasks

There are various tedious and cumbersome machine learning tasks involved which are time-consuming, but crucial nonetheless. And, scheduling coursework for online learners or delivering online resources on the basis of their eLearning assessment results is one of those. It is expected of ML to be able to take over these operations soon in the future, making it possible to automatically generate unique eLearning course maps for every online learner which in turn shall help them readjust their eLearning course as and when required. 

  • Improvement in E-Learning ROI

With ML, learners will be able to focus on their job-related tasks cutting down on course time. While on the other hand, LMS having access to your progress will help you schedule your online courses which need to be worked upon better. This will help you quickly spot the topics you’re struggling with the most and ML’s algorithm shall easily adjust the course settings to lay emphasis on the weak areas. This feature saves a lot of time and resources on training materials which will neither benefit your current goals nor improve your employees’ skills.

  • Improved learner motivation

With ML playing a crucial role in elearning, online learners receive an individualized experience instead of a generic eLearning course that touches on irrelevant topics or the one which is available to all. Therefore, there’s no need to dedicate as much time to the online training process as one can conveniently accomplish their desired goals and polish skills. This not only acts as an added motivational factor in their learning but also allows them to learn and participate in elearning activities that resonate with them at their own pace. Thus, the Machine Learning systems of the future can be helpful in providing a private virtual tutor, offering learners the coursework they need at a time suitable and preferred by them. 

  • Creation of more effective online courses

Instead of acting on just one criteria and taking all factors into consideration, these benefits result in creating very effective online training programs. The Machine Learning system predicts the outcome after offering a comprehensive overview of big data thereby offering every corporate learner new personalized online training opportunities. Apart from this, you can make peer-to-peer interactions more productive with the use of AI like for instance, match mentors to online learners who can benefit from their specific skills or past experiences.

Is ML the future of E-Learning?

Life will be so simple and tasks shall no more be complex if you could create just eLearning content and then let the system take care of other tedious tasks perhaps, like reviewing charts and statistics to detect hidden patterns. And, what if you could also provide personalized feedback to every online learner and steer them in the right direction without any human intervention? Well, Machine Learning and Artificial Intelligence are here to your rescue! 

They have the potential to automate all behind-the-scenes work requiring an immense amount of time and resources. The system will be able to predict every eventuality and desired outcome in a matter of seconds irrespective of what it is followed by delivering personalized eLearning content. Undoubtedly, the content providers for machine learning development will cater to the learners’ individual needs, their respective goals, preferences, and areas for improvement. 

Therefore, ML has leveled the playing field of all the areas it is a part of being it elearning or any other. It has already taken intuitive eLearning design to a whole new level and shall continue to do so in the near future overcoming all the related shortcomings. In the future, this technology will help you develop more meaningful eLearning experiences that bridge any undisclosed gaps.

Thus, ML and AI are not mere buzzwords; they are in fact revolutionary technologies which are here to stay, making a significant change in the technology landscape. Hence, it can be rightly said that machine learning is the future of elearning. 

Aether has been playing World of Warcraft since 2006. In his youth he raided 7 days a week, but now just plays with friends doing Mythic dungeons and Arena. He swaps his main more often than he should.
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