Machine learning falls under the larger umbrella of Artificial Intelligence and is taking education by storm. Machine learning algorithms are nothing new, but their implementation into the educational realm is. Educators are starting to use and encourage others to do the same for a number of different tasks. Below, you will see a few ways teachers are starting to use and develop machine learning algorithms to help them every day.


Algorithms can be programmed to optimize schedules for both teacher and students. If a student is struggling in English and needs one on one attention. The program can quickly sift through everyone’s schedule and the student’s availability to get them the help they need. Instead of taking the time to do it all manually, a student can ask for help and walk out minutes later knowing when they will get it. This may not seem like a lot, but it can make all the difference.


When it comes to grading, teachers have been looking for a better way to do it for decades. Now with machine learning, even open ended questions can be graded. Teacher will feed the algorithm with the information they are looking for and if a student has hit those points, the machine can grade it. This does not completely eradicate grading by hand, but it can cut down the work significantly. With the help of machine learning, our teachers will now have more time to give personalized instruction and tutoring.

Student Data Analysis

Schools are already collecting a lot of student data. We records things like their grades, attendance, and behavior, so why not feed it all to a machine learning algorithm to help predict learning paths, points of struggle, and even have it recommend a solution based on what the data is telling us. When we get our students’ data to work harder for them, we learn so much more about how to best educate them.

Identifying Areas for Improvement

Finally, with machine learning, we can give algorithms data about processes, the school structure, or anything related with the behind the scenes work that makes a school run. Then with that information, we can identify what areas need the most attention. Things like where money is being wasted and identifying what lessons have been largely ineffective. From there, we come up with solutions and make our schools and education better and better!