Artificial Intelligence In Education Transformation Posted on : Jun 08 - 2020

The transition to online learning due to COVID-19 has exposed significant gaps in our school systems. While there have been many technological advancements in the past decade, the education industry has been slower to adapt. Education institutions now have the opportunity to explore the potential of learning supported by artificial intelligence.

There are many social and economic factors that shape learning environments. Even though there are great teachers in some schools, many lack basic resources like textbooks and internet access. When these limitations are combined with an imbalanced student-teacher ratio, small cracks turn into wide gaps that become harder to close.

If we want to create an experience that is equitable and enjoyable for all, we have to eliminate as many obstacles as possible. Equipping educators with AI-powered technology can help alleviate some of these challenges. For example, using AI systems that act as personal tutors can help the student-teacher ratio problem by providing feedback and support when teachers don't have the bandwidth. Introducing supporting tools like these from the ground up can help eliminate the socioeconomic discrepancies in schools, changing the way students perceive themselves, their peers and their overall learning experience.

It will be important for educators and policymakers to explore the intersection of education and artificial intelligence. The application of machines in learning environments is only one variable in a multifaceted equation. We have to consider barriers that prevent an even distribution in technological resources and how to overcome them. We must also ensure that teachers are prepared and empowered to leverage artificial intelligence. Assuming these elements are addressed, the possibilities of AI-powered learning are infinite.

Traditional learning methods haven't always embraced the distinct experiences that shape how students learn. I believe the best learning experience is one that incorporates a variety of teaching methods and encourages individuality. Unfortunately, most teachers have responsibilities outside the classroom and can't always consider each student's style.

AI can be used as a tool in areas where teachers are limited. Machine learning applications process information more quickly and in larger quantities than humans do by leveraging algorithms that learn from data. These algorithms can then provide suggestions that are relevant to the teacher, like determining subjects their students have historically struggled or excelled in so they can be redesigned effectively. View More