Machine Learning And The Future Of Education

Machine Learning And The Future Of Education

Ciarán Daly

April 16, 2019

5 Min Read

by Gunjan Dogra

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 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 termtime 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 programme 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 at organizing the learning processes than human endeavors to do so.

Cody Rhodes, an academic expert at EssayZoo, says, “Artificial intelligence has the capability of better content and curriculum organization and management. It has the potential to analyze and show what works for teacher and student.”

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 students’ 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 programme also shows parts to be edited or altered for improvement.

Related: AI and the future of education

5. Feedback for students’ and teachers’


Once the machines have shown thestudents score and grades, from this analysis the student will get feedback ontheir submitted works.

The machines will analyze thestudent’s progress over time. It will also show the level of understanding ofdifferent 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 insuggesting learning paths the student should take. This will be taken from thestudent’s performance. Students will receive suggestions concerning materialsand other learning methodologies from this software.

7. Matching students and


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.

Related: Building personalized education with AI adaptive learning

8. Educational experiments

Last but not least, machine learningfor education will make learning fun both for educators and students. Themachine will do most of the work and the teacher’s duty will be to make a fewadditions and changes based on data analysis done by the learning machines.

It’s a great worry among manyeducators that machines learning will replace tutors - but this is not thecase. The human element in teaching will not go away as long as there will behuman beings. Artificialintelligence will help equip schools andeducators to make their work easier in preparing students for life in and afterschool.

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.


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