Technology and education have always gone hand in hand. As there are advancements in technology, we can use them to enhance and improve learning. Machine learning is the latest iteration of this, as it’s not being used in some surprising ways. Here’s how it’s changing education as we know it.
Using Adaptive Learning
Machine learning takes in data in real time, and uses it in all kinds of ways. In education, it can be used to track how your students are doing in the classroom. It’ll take all that data and report back how your students are getting on.
That’s something that’s incredibly helpful to teachers. They can see at a glance if anyone is struggling, and use it to adapt teaching to their needs. This helps improve engagement and give students what they need in terms of education, so they can get more out of it.
Creating Learning Analytics
As a teacher, sometimes you’ll find that the class aren’t quite getting the material that you’re teaching. That can be frustrating, as you’re not sure where you’re losing them when it comes to the subject. This is where machine learning is improving the teaching experience.
As the teacher, you can go through the data from the class, and find patterns. This will show you were the class aren’t understanding the material, so you can make changes and get them back on track.
Personalizing Learning For Students
You know that all students learn at their own pace and in their own way. No matter how hard you work at giving students what they need, some aren’t going to be able to get the best out of the classroom experience. Using machine learning, you can change all that.
As the student works, the machine learning AI will get an idea of what works for the student and what doesn’t. As such, it can deliver learning and learning materials in a way that will suit them best. That allows the student to really learn at their full capacity.
Grading Exams And Assessments
If there’s one thing that takes up so much of a teacher’s time, it’s grading. It takes hours, and that’s time taken away from them actually teaching or preparing lessons. That’s something that machine learning is helping to improve over time.
With machine learning AIs, they can take exams and assignments and grade them in a matter of minutes. It’s not only quicker, it’s often more accurate too. That means that students get much more accurate grades, and teachers are given more time to focus on what they do best.
Making The Classroom More Efficient
When teaching, you know you’re not spending the whole time in front of students. As well as grading work, you’re having to deal with scheduling, paper work, training, and more. It takes so much time out of your day, and you can’t offer the best teaching when you’re having to deal with these tasks.
The more routine and repetitive tasks can be given to machine learning AIs to handle. The more they work on these tasks, the better they’ll get at them too. It makes it a lot easier for you to concentrate on teaching, making the education you deliver much better overall.
Using Predictive Analytics
Having machine learning AI in the classroom isn’t just about what you’re doing right now, it’s what you’re hoping to do in the future. As a teacher, you want to have an idea of how students are doing, and what goals you want them to reach.
This is something that machine learning can map out for you. For example, using the data of previously graded work, it can predict future grades for students. That allows you to identify any weaknesses in their learning, and focus on improving them so you can raise those grades with them.
As you can see, machine learning is going to play a big role in education. In fact, you’ll see that many educators are already using it in their classrooms, in one way or another. Because of this, you’ll be able to make improvements to your own teaching and the experience of your students as they learn with you.
Madeline Miller is a writer at Assignment Writing Service. She covers education topics, and is a blogger.
