Benefits of Machine Learning in Online Education

Benefits of Machine Learning in Online Education

What comes to mind when you hear the word classroom?

If it’s rows of students reading the same textbooks, we’re afraid you’re still living in the past!

Technology like AI and machine learning have helped reshape modern classrooms to be inclusive, accessible, and adaptive to unique student learning behaviors. In fact, 71% of students consider machine-learning-based assistants helpful, which is why e-learning platforms for students absolutely NEED to use such models to deliver personalized learning to accommodate all students, especially college students with learning disabilities.

What is Machine Learning?

Machine learning (ML), like AI, is a computer program that can mimic human intelligence to assist with specific tasks. But what’s different about ML is that it can evolve and adapt based on its interactions with the user. This allows machine learning models to improve over time and become more refined. Let’s take the example of social media ads, which observe your activity to show you only relevant ads – we call this personalization.

How Can Online Learning Platforms Use Machine Learning?

Before we explore the benefits of machine learning in education, let’s first understand how machine learning can be used in education.

Since machine learning models are a subset of artificial intelligence, they can do almost everything AI can. Plus, they can also adjust their working patterns based on new information or interactions. So, they can help personalize study materials, allowing students to play to their strengths and weaknesses. This means that all students will be able to reach expected academic standards eventually, even if it’s at their own pace – all thanks to a machine learning-powered adaptive learning model.

But wait – what is adaptive learning, and how can it improve higher education?

Adaptive learning involves adapting or adjusting study materials to accommodate unique student learning behaviors – and machine learning can help us do it! In fact, online learning platforms for students (Hint: SimpliTaught) are already doing it to support college students.

Benefits of Machine Learning in Education

Now that we know about the use of machine learning in education, let’s focus on the benefits of machine learning in education and how such models can help colleges support their students.

Personalized Learning Experiences

We said it before, and we’ll say it again: machine learning can help provide personalized learning experiences to college students. This includes tailoring study materials to help students make more sense of them. But it also means helping them identify potential learning gaps. So, even college students with learning disabilities can have the learning material adjusted to support their unique learning behaviors, making education more inclusive and accessible at the institutional level.

Faster Studying

If you’ve ever spent the night before an exam looking for faster ways to study (because, come on, who hasn’t?!), then this one’s for you!

Machine learning customizes education to fit you, meaning you don’t have to read the same sentence a million times just to make sense of it. With the right resources, you can understand your textbook concepts, even difficult ones, much more easily. This means you’ll need to spend less time studying – need we say more?

Better Retention

But hey, if you’re still not convinced, you should know that ML models can also help improve retention. And when we say retention, we mean it on two levels. So, when students can understand difficult concepts more easily and quickly, they’re also more likely to remember or retain this information. Also, when students don’t have to cram hours just to pass, it will boost student retention rates at the institutional level – that’s two-fold the benefit!

Improved Curriculum

Another major benefit of machine learning is that it can help teachers tweak their lesson plans and learning content to help students understand better. Remember when we mentioned that machine learning models observe student interactions with study materials? Well, they basically keep a record of the kind of content students are actually using and what they’re finding helpful. Let’s say video content is getting more engagement than text-based material, or microcontent is more useful than long-form content – ML systems help teachers understand all of that. And so, they can actually use this information to improve their courses for students in the next term.

Use SimpliTaught to Study TWICE As Fast!

The use of machine learning in education has the potential to literally transform institutions. We believe that machine learning will be an indispensable key player in the future of education. It’s only a matter of time before educational institutions across the US start implementing machine learning-based adaptive learning systems to support college students – and we’re all for it!

At SimpliTaught, we use AI and ML to help college students access personalized study materials in order to understand their textbook concepts more quickly. To learn more about how we can help, reach out to us at [email protected] or visit SimpliTaught.