Machine Learning Enters Education

ML: the revolution in education we were all waiting for

by | Apr 6, 2022 | EdTech, self-study

Adapt or die! This has been the truth of life for education since a global pandemic shook the world in 2019. There came the point in history when going to school and sitting in a classroom became absolutely impossible. Teachers, educators, and concerned parents had to develop new methods of giving the new generation the education they needed and deserved.

This is how online education was born. However, technology did not stop at that. New methods, and innovative solutions were introduced to make this experience as instructive as possible. The truth is that Generation Alpha cannot be content with sitting a lesson and going with the teacher’s pace anymore.

Machine learning solutions have made online education a smooth experience that suits this generation’s taste much better. These solutions have several benefits over online education that does not enjoy these features.

Personalization

Machine learning allows learners to match the pace of the lesson and the repetition of the subjects according to the learners’ abilities and patience. There are some programs that use flashcards to teach learners snippets of fact, and the frequency with which the cards are repeated depends on how correctly the learner answers the flashcard questions. What’s more, the algorithms in the online learning platforms equipped with machine learning set the lesson’s advancement according to the learners’ progress.

The more capable learners won’t have to waste their time repeating the topics they already know using machine learning. The ones that need more time won’t be confused and disappointed, struggling with material too advanced for them.

Assisting teachers in paperwork

Writing reports, correcting papers, and calculating final grades are some of the teachers’ most tedious and time-consuming activities. Online learning platforms with machine learning can do this automatically, and teachers won’t have to spend their time working on their students’ progress.

Imagine an assistant who keeps track of the students’ progress and classwork and makes reports to you without you having to do a thing. This is a teacher’s dream come true, and machine learning enables teachers to plan the material and focus on the classes.

Feedback

One issue that takes teachers a lot of time and energy is providing support and feedback between classes. Answering students’ questions and solving their problems take a lot of time because you as a teacher have to keep all your students’ levels and subjects in mind to answer their questions.

Machine learning takes responsibility for these questions and inquiries so that the teacher won’t spend time on them. These platforms provide the learners with intelligent answers that are both intelligent and adapt themselves to the learners’ needs.

Research

Machine learning is one of the most valuable tools in higher education. Higher education depends on research and discovery more than any other stage in education. A graduate and post-graduate levels, students spend lots of time and money on doing research projects. Machine learning prediction algorithms allow students to have a better sense of where their research is going. This prevents people from wasting their time and energy on projects that might come to nothing.

Another use of machine learning in higher education is assessing the learners’ work. Detecting plagiarism and peer reviews usually take time, and machine learning can do it without too much time and effort. The interesting point is that the longer the system does that, the better and more accurate results.

Accessibility

Learning has never been easier for students with disabilities. Machine learning online education platforms allow vision-impaired students to listen to the content without missing anything. Even images and graphs can be changed into verbal content to suit the needs of the learners.

Students who are hard of hearing can enjoy the text-to-speech capabilities of machine learning that help them get the same education as the other learners. The speech provided with these systems is entirely realistic, and it won’t put the students into any inconvenience.

Big data

Finally, machine learning allows educators to use the enormous amounts of data obtained from research done worldwide. This data has been collected over the years and helps educators and educational managers devise better systems and content. Without machine learning, using this much data in a meaningful way is almost impossible.

Understanding the meaning of this data can help people predict the needs of the learners and the outcome of the content easily. It also enables the students to predict their future career paths according to their performance at school.

Final thoughts

Machine learning is essentially a service to make processes more straightforward. Online teaching is one of these processes with lots of nooks and crannies that require lots of time and energy. Using machine learning in online education can make education easier both for the students and the teachers.

There are lots of new technologies used in online education these days. This is mainly because online education needs it. The demand for online classes has been increasing over the last couple of years. however, it is safe to assume that machine learning plays an important role in the whole scheme of things.   

Elham Naseri

Elham Naseri

Senior Content Writer

Experienced in the fields of content development and management, as well as digital marketing.

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