SDG 4’s goal is to ensure inclusive and equitable quality education and promote lifelong learning opportunities for all. A factor in this goal is advancing education to fit all people. Current education is mostly structured to teach all students identically. However, not all children can learn with the methods as others, and will not reach full academic potential or understand all information. Thus, individualizing education is a key factor to achieve inclusive and equitable quality education for all. 

Personalized education has not been used enough because it is expensive and labor demanding to implement. Using neuroscience and artificial intelligence(AI) can minimize these negatives. Education is the perfect sector for the implementation of AI technology. In order for AI to function in various situations, the computer must learn about these different situations. Students are a perfect way for a computer to be experience different cultures because children are diverse. 

AI can become part of student’s education through interactive games. These games can show a child’s strengths and academic abilities, while teaching the computer about the child. With stored data about the ways that the student learns, a more personalized education can be constructed. This is also useful for all AI because it will quickly learn about different ways of thinking, different environments, and different cultures. 

A potential negative issue with computers storing extensive data about a child’s academic ability, is that the data can be used in harmful ways. Another issue with computers teaching children is that a large aspect of school is in the social sector. Whether it is an educator showing their students about empathy, or students interacting with each other, the social aspect of school teaches children how to burgeon into well versed human beings — something a computer cannot teach. While AI would advance academia, it is essential that school remains a center for children to develop into socially conscientious adults. Thus, AI should be implemented as a portion of children’s academia.

My school has begun to use some forms of AI. When students need extra practice for math, the school provides an AI system, called Alecs, to help them learn more outside of normal classes. The placement for advanced math and grade level math is also determined by an AI system. Students complete an online tracking test, then the results are a factor to determine one’s placement. Yet, this system was later adapted because the test does not assess the whole person. A large factor as to whether one can succeed in a more rigorous class is whether they will push themselves. A computer can not assess these traits. While math skills are a component that a computer can test, human instinct is also an aspect of evaluations. 

Online AI systems also help to promote lifelong learning. Adults can continue to learn using websites and apps, such as duolingo to study a forgion language. It is a cost effective way for adults to broaden their expertise during their free-time. With AI, learning does not stop outside of a classroom. 

The implementation of artificial intelligence in academia is key to ensure inclusive and equitable quality education and promote lifelong learning opportunities for all. It is easily attainable when there is access to a computer and internet connection. Students can learn in ways that best fit their ability, without a strain to the teacher. AI systems can learn from students to better fit diverse needs. The job of a teacher will not become obsolete, as their role in emotion guidance is crucial to a student’s mental and academic development. 


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Rebecca Jekogian is a 15 year old 9th grader from New York City, who is passionate about environmental protection, travel, and technology. She was the first girl in science to speak at the First International Day of Women and Girls in Science in 2016, and she is a spokesperson for the Value Veda-teachers campaign.

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