Artificial Intelligence and Education
Milestones and Aspirations

By Mamdouha Itani

Mamdouha is ambitious and a challenge seeker. She started her career in the hospitality industry as an income auditor in Lebanon with Rotana Hotels. Mamdouha had the opportunity to travel to UAE with Rotana Hotels as a Financial Accountant.


For Mamdouha working in an office was not satisfying her ambitions although she loved her job as a financial accountant and doing lots of budget and forecasts. She finished her MBA degree in International Hospitality in 2020 during the pandemic with a GPA 3.8.


Many researches and articles related to education will be published by Mamdouha until she achieves her next goal in gaining her PHD and being a university lecturer where she can share a lot of work life experience with the future generation.

The significant potential of artificial intelligence is already being recognized globally amongst a variety of industries. Presently, the AI revolution is also having an impact on the education sector.

A very interesting question was posed by Holmes, W., Bialik, M., and Fade, C. (2019): What should students learn in an age of AI? Many areas in education must be developed such as traditional knowledge, core concepts, interdisciplinarity, and embedded skills. Modern education will speak the language of versatility, relevance and transfer. In the age of AI students must learn to be powerful to face work and life, relevant to motivation, and always ready to transfer for a broad future.

What gets measured gets managed. ~Lord Kelvin

Assessments are the tool to measure the education we get. When assessments are automated, and results are not subjective that will drive educators to give more from themselves to improve and get better results. AI may also support education in training the teachers and help in the online tutoring. As well, AI in schools can help in the administrative departments to set timetables and schedules, in the health and safety and finance. But still AI in education raises many questions and create many debates.

We should ask what happens when we remove care from education…. What happens to thinking and writing when… the whole educational process is offloaded to the machines to “intelligent tutoring systems, “adaptive learning systems, or whatever the latest description may be? What sorts of signals are we sending students? ~Audrey Watters

For years, schooling has been symbolized by the interaction between teachers and students, such as grading homework, offering support, preparing educational materials and providing feedback on students progress.

Today, the contemporary classroom is becoming more digitized, and the advances of AI and machine learning are now being recognized. Although, the transition to a more efficient operation using machine learning to better assist teachers and move them away from the traditional manual “pen to paper teaching method has proven to be difficult, particularly from the perspective of teachers and students. There’s an argument that the transition to machine learning systems to transform education will mean replacing teachers, who are considered indispensable if children rely human to human interaction compared to robots and machines.

This is not exactly true, because machine learning can enhance the responsibilities of teachers, and many solutions are making the teacher’s roles more effective within education at present.

Improving Class Efficiency and Organization

Machine Learning AI is being efficient in developing class programs and learning tasks than humans. Not only this but general class management including scheduling of classes and setting student tasks. Teachers are then switching their focus towards their responsibilities on up- skilling and improving student learning.

Personalized Learning

Maximizing student potential can be enhanced through personalized learning. A machine can be designed to ensure the key learning points that focus on the needs of the student, such as improving grades, assisting in making learning decisions, and provided support through structured learning. New Classrooms is a dynamic solution that uses learning analytics to schedule learning experiences.

Adaptive Learning

Adaptive learning is the process of evolving learning practice to support either struggling students or challenging the cleverer ones. Adaptive learning can be delivered as part of an online e-learning portal that can monitor student performance and update curriculum activities based on their progression. This improves student engagement. Adaptive learning systems such as DreamBox, Reasoning Mind and ALEKS are examples of adaptive learning solutions in use today.

Better Grading

Machine learning applications are in existence that deals with scores and grading of student work. Live applications are developed and in use to turn the grading process into an efficient process that grades based on certain grading structures and criteria that is formulated as a data set within a machine learning application. This helps to improve the process of grading and supports evaluations. TurnItIn is an example of an application that is used worldwide to help reduce plagiarism.

What Can The Education Industry Look Forward To In The Future With AI and ML?

One thing is for sure, technology will never replace the teacher as they are considered indispensable to the education process, rather there will continue to be a progressed collaboration between teachers and technologies to benefit the student. The expectation is for technologies to assist in helping teachers find a balance to focusing on learning and assessment through innovation.

What is apparent, however, is that the future of education has changed in direction owing to the COVID-19 pandemic. Teachers are required to be upskilled themselves using IT technologies. Not only this, but AI and ML are taking charge by continuing to monitor student learning, and for teachers to work in parallel with technologies. The pandemic might well be the final touch the education industry needs to develop robust technologies to take control of student learning to avoid any further disruption, such as closing schools and delaying course curriculum.

Likely, AI and ML technologies are now at the forefront to take charge of the education sector and how teachers and students cooperat