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Home›Digital & Mobile Technology›8 Ways Machine Learning Will Improve Education

8 Ways Machine Learning Will Improve Education

By Matthew Lynch
June 12, 2018
8
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Education is moving away from traditional rows of students looking at the same textbook while a teacher lectures from the front of the room. Today’s classrooms are not simply evolving to use more technology and digital resources; they are also investing in machine learning.

What is machine learning? Machine learning is defined as “a field of computer science that uses statistical techniques to give computer systems the ability to “learn” (i.e., progressively improve performance on a specific task) with data, without being explicitly programmed.” For example, in education, we see machine learning in learning analytics and artificial intelligence.

  1. Support Teachers

Machine learning is essentially mining data. The days when teachers had to rely on detailed gradebooks are gone. With machine learning, teachers have access to all their student’s data in one place. In addition to carrying some of the administrative weight, machine learning also helps teachers improve their lessons by identifying where clusters of students are struggling.

  1. Predict Student Performance

A major benefit of machine learning is its ability to predict student performance. By “learning” about each student, the technology can identify weaknesses and suggests ways to improve, such as additional practice tests.

  1. Test Students

Machine learning can help move away from standardized testing according to Rose Luckin. She explains, “‘Stop and test’ assessments do not rigorously evaluate a student’s understanding of a topic. The artificial intelligence-based assessment provides constant feedback to teachers, students and parents about how the student learns, the support they need and the progress they are making towards their learning goals.”

  1. Grade Students Fairly

Machine learning can also grade students fairly by removing human biases. While grading is now already being completed by AI for multiple choice exams, we are beginning to see machine learning also starting to assess writing with tools like Turn It In and Grammarly.

  1. Provide Customized Learning

Machine learning also makes it possible to customize learning for each student in the classroom. Teachers will be able to use the data to see which students need additional assistance, and the technology can also suggest meaningful learning tools for each student.

  1. Organize Content Effectively

Through identifying weaknesses, machine learning can organize content more effectively. For example, as students learn one skill, they move on to the next skill continually building upon knowledge.

  1. Improve Retention

Machine learning, such as learning analytics, will also help improve retention rates. By identifying “at risk” students, schools can reach out to those students and get them the help they need to be successful.

  1. Group Students and Teachers

Another way machine learning will improve education is by grouping students and teachers according to their needs and availability.

As we discover more ways to utilize machine learning in the classroom, we are finding more ways to improve education.


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8 comments

  1. Aanchal Iyer 14 June, 2018 at 09:02 Reply

    Interesting read, machine learning in a way will definitely make the entire education system easy for both students and teachers, with their work made easy teachers will be able to focus on their students. The weaker ones can be saved in time instead of them struggling the whole year only to fail in the end. It will help to put all the students on the same platform.

  2. Eight Ways Machine Learning Will Improve Education - Fab Lab Connect 15 June, 2018 at 01:16 Reply

    […] Read more… […]

  3. BOSS Magazine | How Machine Learning Will Change Every Business 3 October, 2018 at 19:07 Reply

    […] learning can help the education industry by lessening the responsibilities and pressures placed on teachers. Marking papers is something […]

  4. Harshali Patel 14 December, 2018 at 07:29 Reply

    Quite interesting article, that has covered all the innovative and creative ways in which education sector can work with the help of machine learning.
    great article matthew, keep posting.

  5. 5 Industries Machine Learning Is Majorly Impacting | TechWebSpace 11 February, 2019 at 00:50 Reply

    […] technology. It’s able to assist teachers in their daily work while improving the standards of learning for pupils. Machine learning can alleviate teachers of menial tasks to allow them to get on with more […]

  6. 6 Ways Machine Learning Will Revolutionize the Education Sector - The Tech Edvocate 6 March, 2019 at 08:01 Reply

    […] my readers who are new to the concept, machine learning is defined as Is defined as “a field of computer science that uses statistical techniques to give […]

  7. 5 Revolutionary Types of Educational Technology - Productivity Bytes 5 April, 2019 at 17:06 Reply

    […] Some of the current applications of machine learning in the classroom include using it to improve retention rates by identifying at-risk students who may drop out or depending on it to track students’ progress over time and determine how they’re doing compared to peers. There are also efforts to group students and teachers based on the experience possessed by specific educators that could cater to different needs. […]

  8. Khái quát về Trí Thông Minh Nhân Tạo – Art-Chill-Tect 14 November, 2019 at 03:09 Reply

    […] Từ khi có Trí tuệ nhân tạo, các phương pháp giáo dục hiện đại, hấp dẫn và hiệu quả ngày càng phổ biến. Các bạn có thể tham khảo chi tiết các ứng dụng tại đây. […]

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Since technology is not going anywhere and does more good than harm, adapting is the best course of action. That is where The Tech Edvocate comes in. We plan to cover the PreK-12 and Higher Education EdTech sectors and provide our readers with the latest news and opinion on the subject. From time to time, I will invite other voices to weigh in on important issues in EdTech. We hope to provide a well-rounded, multi-faceted look at the past, present, the future of EdTech in the US and internationally.

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