The Role Of Machine Learning And Artificial Intelligence In The Future Of eLearning

It’s an exciting time in the world of eLearning. Technology is constantly evolving and adapting to boost everyday efficiency and make our lives easier. Modern tools give us the power to connect from around the globe and bridge gaps as soon as they appear. One such advancement is the rise of Machine Learning and Artificial Intelligence. Namely, their role in the future of eLearning. Predictions, algorithms, and analytics come together to create more personalized eLearning experiences. But how exactly will Machine Learning and Artificial intelligence (AI) transform the eLearning landscape in years to come? And how can you start preparing for monumental changes today?

What Is Machine Learning And Artificial Intelligence (AI)?

Before we dive into the forecast of Machine Learning and Artificial Intelligence (AI) in eLearning, let’s cover the basics of these tech-based approaches. First things first: Machine Learning is a sub-division of Artificial Intelligence. It involves algorithms that predict possible outcomes based on user data. The system identifies certain patterns and trends, then learns from the data in order to provide greater personalization. Every piece of new information that the program receives makes it more intuitive. The entire process takes place autonomously, from extracting and evaluating the data sets from the Learning Management System to predicting what online learners need based on their past performance.

Today, there are two different types of Machine Learning frameworks: proprietary and open source. Both fall into the category of deep learning software. There are also various tools or hardware involved, ranging from tensor processing units developed by Google to vision processors that enable machine vision operations. In addition, you can already find a vast assortment of Machine Learning libraries, complete with algorithms that support specific programming languages.

How Machine Learning And Artificial Intelligence Are Transforming The eLearning Landscape

What if you could create eLearning content and then let the system take care of the more tedious tasks, such as reviewing charts and statistics to detect hidden patterns? What if you could provide immediate personalized eLearning feedback and steer online learners in the right direction without any human intervention? Machine Learning and Artificial Intelligence have the potential to automate the behind-the-scenes work that requires a significant amount of time and resources. In the future, AI can help you develop and deploy more meaningful eLearning experiences that bridge undisclosed gaps.

The system will be able to predict every eventuality and desired outcome in a matter of seconds. Then deliver eLearning content that caters to online learners’ individual needs, preferences, goals, and areas for improvement. It takes intuitive eLearning design to a whole new level, as the system knows what an online learner requires even before they do. As such, you have the power to custom-tailor every aspect of the eLearning program based on an online learner’s past performance, job description, and learning preferences

Hritik Kumr Sharma

I year

Computer Science And Engineering

College Of Technology And Engineering, Udaipur