AI in Education (and its Ethics) | Solomon Ray | 8 Min Read

February 9, 2023 (This article is republished from ET Magazine, Volume 1, Issue 2)

The mention of technology and the classroom evokes pandemic-era remote learning, disengaged human interaction and unequal access to hardware and software tools. What belies this is the growing trend of AI in education. As with previously mentioned technologies, AI is an agnostic tool whose impact greatly depends on policies and implementations surrounding it.

Artificial Intelligence is the ability of machines to work and think like the human brain. Within AI, Machine Learning is the study of algorithms that learn from examples and experiences. As data becomes more complex, Machine Learning is able to identify patterns and apply them to future predictions. Furthermore, Deep Learning is a sub-field of machine learning that uses different layers to learn from data. In Deep Learning, the learning phase is done through a neural network, an architecture where the layers are stacked on top of each other.

Functionally, AI excels in reducing repetitive tasks incredibly fast but is no replacement for the human brain, which learns and adapts from native cognitive processes. In education, there are known methods that improve natural learning.

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ET Magazine column

(ET) Magazine is dedicated to providing the information and context necessary to advance the efficacy of technology used in education. Our articles are carefully selected by our editorial advisory board and are written by the finest minds in the world of EdTech. Staff members have been assembled from the fields of education and publishing (and in most cases, both) and represent decades of unassailable dedication.