New developments in machine learning and artificial intelligence are heard about every single day. Some countries have made achievements in implementing artificial intelligence and machine learning in education that are incredible. The following are some of the achievements made; placing robots in classrooms to control health level of students, students wearing uniforms with trackers to ensure their safety while in the school territory and the use of headbands to determine the concentration level of students. Since it has improved over time, machine learning 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. Online math programs for students have been developed by some firms. It is long recognized that computers have significant benefits in class, but we should also remind ourselves that there are limitations.
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. For a successful implementation, teachers will be required to take an active role in machine learning education.
Machine learning education has several significances, these have been outlined below. One of the benefits of machine learning in education is that it will allow teaching to be personalized and differentiated. The use of computers will enable customized lectures to be delivered to each student. 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. Since teachers will not be required to teach the middle of the class, student’s needs will be met.
If the curriculum is of excellent quality and there is fidelity implementation of the approach, it will translate into results. 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 grading systems used in schools have been created by teachers because of the lack of a unified grading system.
Machine learning in education will enable the creation of a precise grading system. 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.