11 Jun


There is no day that passes without you hearing about the new developments in machine learning and artificial intelligence. Incredible achievements in implementing artificial intelligence and machine learning in education have been made by some countries. 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 learning has advanced over time, and therefore it is right to think that it can be relied upon to make great advances in education. Even though machine learning has great promises for the future of education, relying on computers only will be a big mistake. Development of online math programs for students has been done by some companies. We should keep in mind that there are limitations involved in machine learning, although it is well recognized that computers are beneficial in class.


Computers are tools for delivering the experience of learning from the best math teachers from all over the world; this is what is stated. An approach aimed at modelling decisions and activities of most effective teachers in the world in its artificial intelligence like remedy gaps in student knowledge, scaffolding explanations and deciding the difficulty level of problems to give students known as instruction modelling is taken. It will be necessary for teachers to take an active role in training for machine learning if it is to be implemented successfully.


There are many benefits of machine learning in education which have been outlined in this article. One of the benefits of machine learning in education is that it will allow teaching to be personalized and differentiated. Customized lectures can be delivered to each student if computers are used. By this, significant workload will be lifted off the instructors, and they will be freed up to work one-on-one with each student or handle more complicated issues in student’s misconceptions. Teachers will not be required to teach to the middle of class; thus all the needs of students will be met.


It will translate into results if the curriculum is of top-notch quality and the approach is implemented with fidelity. Instant grading of work in machine online education programs will enable teachers to have immediate access to formative data. According to education professionals, the grading systems used in schools are biased. The absence of unified grading system has forced educators to  use their ways to grade students. Visit this company to learn more about machine learning.


 It will be possible for a precise grading system to be created if machine learning in education is implemented. To know if students are struggling, teachers will not need to wait for tests and quizzes with machine learning thus they will correct the misconceptions before they solidify. Another benefit of machine learning in education is that computers can be leveraged to improve the engagement of students. For more information, click on this link:   https://en.wikipedia.org/wiki/Deep_learning.

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