As artificial intelligence and technology steps into the world, it is estimated that the USA alone will lose 16% of existing jobs. On the other hand, there is a prediction that AI will create a staggering 13.6 million jobs. Parts of these changes will affect the educational sector.
Teachers today may lecture on essay writing in colleges, marking papers, and instructing students without the help of machines. With the introduction of artificial intelligence to learning institutions, machines will soon handle some of these manual tasks. As a result, the field of education will see a lot of changes take place. Below are eight ways machine learning in education can help you improve education in the years ahead.
1. Personalized learning in schools
One of the key things machine learning can deliver in schools is personalization.
With the help of machine learning, educators will have more time to monitor how the students are utilizing individual concepts. This will help the instructors to monitor specific methods and see how well they apply students are working so that the curriculum can be tailored to fix any problems.
The need for teachers to perform routine tasks such as keeping student logs will also become redundant. This is going to apply to term-time planning as well, with the need to constantly set and monitor student progression going to be minimized by the help of machine learning platforms like Gooru's Learning Navigator.
2. AI predictions on student's educational path
Artificial intelligence in schools will enable the analysis of student capabilities and performance and point the way forward using predictive analytics.
Some software firms are in the process of developing machine learning prediction models to do exactly this. For example, if a student's writing results continually decline, the program can predict how they will perform in the future if the student does not take the appropriate measures. The teacher can then look for other avenues to adjust, direct or help the student in a better way.
3. Efficient organizing learning processes
Using predictive machine learning AI will do a better job of organizing the learning processes than human endeavors to do so.
With AI machine learning prediction, education will show significant growth and great efficiency. Teachers and students will find it easier to work in ways that make them happy and comfortable with education. This will make them improve their love and participation in the educational process.
4. Unbiased grading in AI software
Another good thing about artificial intelligence is that this software offers the potential to decrease grading bias. This is to say, any attitudes and prejudices of teachers will no longer affect the student's scores and grades.
These machines will greatly help teachers check the assignments given to their students with reduced human interference. Recently, Turnitin has developed a Revision Assistant Programme to review essays and check for plagiarism. Besides showing scores, this program also shows parts to be edited or altered for improvement.
5. Feedback for students and teacher's performance
Once the machines have shown the students score and grades, from this analysis the student will get feedback on their submitted works.
The machines will analyze the student's progress over time. It will also show the level of understanding of different concepts by the student given to them by their teachers.
From this data and analysis, the teachers and tutors will know what areas they are required to address and make adjustments. They will be able to see what approaches they need to adopt in order to help students achieve their targets.
6. Suggested learning path
The software will also help in suggesting learning paths the student should take. This will be taken from the student's performance. Students will receive suggestions concerning materials and other learning methodologies from this software.
7. Matching students and teachers
Another thing that artificial intelligence in education can do is to identify the students that need assistance and the teachers that are available. Students will be able to get personalized schedules with teachers.
The machines will do the greater work of scheduling those that need help. This new machine learning education classroom model will create an environment where students will get personalized help through suggestions given by the software.
8. Educational experiments
Last but not least, machine learning for education will make learning fun both for educators and students. The machine will do most of the work and the teacher's duty will be to make a few additions and changes based on data analysis done by the learning machines.
It's a great worry among many educators that machines learning will replace tutors but this is not the case. The human element in teaching will not go away as long as there will be human beings. Artificial intelligence will help equip schools and educators to make their work easier in preparing students for life in and after school.
As soon as we implement artificial intelligence in our schools we will see education upgrade to new levels faster than at any time in history. However, as many are aware, AI is not well received by some educators but with the help of proponents of AI in education, we hope that this form of edutech finds its way into schools faster. One way to introduce this system is by investing in machine learning for pupils.