Artificial intelligence (AI) has an impact on practically every part of our life in this day and age. Everything you see on YouTube is powered by AI, from which video plays next to whether your job application or insurance claim is granted.
Whether we like it or not, algorithms that see us like a cloud of data points rather than humans often determine our fate. As a result, when we apply this technology to an area as crucial to our society as education, we must ensure that our approach is appropriate and equitable, recognizing those impacted by our tools as human beings.
One of the most common uses of AI is vastly improving an organization’s ability to perform tasks involving some reasoning. This capacity growth is already manifesting itself in a variety of ways in schooling. For example, grading multiple-choice quizzes and tests is now almost instantaneous at its most basic level. Machine learning, on the other hand, can do a lot more with that data. It can, for example, illustrate where children are succeeding and where they require additional academic support.
It can dynamically tailor instructional content to aid a child’s learning. On the other hand, today’s pupils interact with data in very different ways than we are accustomed to. Children who have only experienced a world where AI-based technologies are every day use search engines to answer their questions before approaching their parents or teachers. This trend should come as no surprise to anyone; proof of it was demonstrated more than a decade ago. As one-to-one device programs gain hold, it’s safe to expect that more students will turn to Google for answers before approaching their teachers. It’s easy to see how a child would think about this.