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Benefits Of Machine Learning In Education

No single day can pass without you hearing about the latest developments in machine learning and artificial intelligence. There are some countries which have made incredible achievements in implementing artificial intelligence and machine learning in education. Placing robots in classrooms to control health level of students, students wearing uniforms with trackers to ensure their safety while in the school premises and the use of headbands to determine the concentration level of students are some of the achievements. Machine leaning can be relied upon to make great advances in education since it has advanced over time. Even though machine learning has great promises for the future of education, relying on computers only will be a big mistake. There are some companies which have developed online math programs for students. We should keep in mind that there are limitations involved in machine learning, although it is well recognized that computers are beneficial in class.

What is said is that computers are tools for delivering the experience of learning from the best math teachers from across the globe. The approach taken is instruction modelling, and it aims at modelling the decisions and activities of world’s most effective teachers in its artificial intelligence like remedy gaps in student knowledge, scaffolding explanations and deciding the difficulty level of problems to give students. For a successful implementation, teachers will be required to take an active role in machine learning education.

There are many benefits of machine learning in education which have been outlined in this article. Teaching will be allowed to be personalized and differentiated; this is one of the significances of machine learning education. Customized lectures can be delivered to each student if computers are used. Significant workload will be lifted off the instructors by doing this, and they will be freed up to work one-on-one with each student or to handle more complicated problems in student’s misconceptions. All the needs of students will be fulfilled because students will not be required to teach the middle of the class.

Results will be obtained if the curriculum is of high quality and the approach is implemented with fidelity. Machine online education programs can grade work instantly; thus teachers will have immediate access to formative data. The grading systems used in schools are biased according to education professionals. The absence of unified grading system has forced educators to use their ways to grade students.

It will be possible for a precise grading system to be created if machine learning in education is implemented. Educators will no longer need to wait for tests or quizzes so that they can find out if a student is struggling, hence make corrections on the misconceptions students have before they solidify. Student’s participation can be improved by leveraging computers; this is another advantage of machine learning in education.

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