Machine learning is everywhere right now, and there doesn’t seem to be an industry that isn’t affected by it. Education is one such industry, and many believe it’s having more impact here than most other niches. So, how is machine learning affecting the education system, and what does the future have in store?
In today’s guide, we’re going to explore everything you need to know moving forward, and what we can expect from machine learning over the coming years.
More Effective Learning
There’s obviously no reason why machine learning would be introduced to the education system if it wasn’t going to make the process run smoother for everyone. However, in terms of schooling, machine learning is set to have a massive impact on elements like scheduling lessons and curriculums, better school organizational practices, and better management at higher levels of staff.
This means there’s less room for human error when it comes to planning a complex school system, and the teachers and staff traditionally in charge of managing these aspects of schooling will be able to focus their attention on other, more important areas of work.
There are always going to be times when a teacher is trying to educate a class and they themselves get stuck, meaning the students are unable to understand what’s going on. However, using machine learning, a teacher will be able to overcome this obstacle by pulling up all the relevant data they need in an instant, ensuring they’re able to send their messages effectively.
It’s truly incredible technology, especially when you consider that any single teacher would be able to sift through millions of data points near instantly, helping to connect the dots on a subject and teach in the clearest, most productive way.
David Arnold, an expert at Essayroo and Liahelp , explains, “Machine learning will also be able to process the grades and exam results of students to accurately predict how they are going to perform later in the year. Let’s say a school runs a small exam in the middle of the year. The machine learning system can process the results to highlight which students need more attention and notifying parents to take whatever appropriate action is required.”
Learning the Way That’s Best for Students
Also referred to as ‘personalized learning’, this is where machine learning really helps the education system take off. Imagine a world where a teacher could analysis every single student’s work, and then being able to accurately judge what the best style of learning is for that individual student.
Instead of just classes of students learning in the same way depending on the teacher’s capabilities, each student was able to learn in the way that best suited them, thus giving them better results and a more productive learning experience.
While this is possible in reality right now because teachers simply don’t have enough time or resources to make those connections, machine learning indeed makes it possible, and actually quite easily. ML systems can monitor grades and submitted work of students, and then can offer personalized content that matches their learning styles.
This can even go a step further and can actually help students identify what educational paths they want to take, what would be the best careers for their futures, and what educational direction decisions should be made.
“Test marking, exam grading, and homework reading is the bane of any teacher’s life. It takes up so much time and energy, and if a teacher has read through a similar piece of writing for the 30th time, the chances are that mistakes are going to be made along the way, thus creating errors for both the students and the teachers,” explains Sarah Bennett, a UX writer at BoomEssays and Paperfellows.
However, these problems are a thing of the past, and teachers can have more time to invest in other projects since machine learning is capable of marking papers and grading exams much faster and more accurately than a teacher ever could.
This means that results from important exams will become more valid and will offer greater gravitas when it comes to choosing a career, attending job interviews, and so on.
Lauren Groff is a tech writer at Economic Essay Help and Write My Thesis. She helps introduce people to the ideas of AI and ML and helping to demystify the concepts. Also, she is a contributor at State Of Writing.