As artificial intelligence systems play a bigger role in everyday life, they're changing the world of education, too.
OpenAI's ChatGPT, Microsoft's Bing and Google's Bard all come with both risks and opportunities.
I am a literacy educator and researcher, and here are four ways I believe these kinds of systems can be used to help students learn.
Differentiated instruction
Teachers are taught to identify the learning goals of all students in a class and adapt instruction for the specific needs of individual students.
But with 20 or more students in a classroom, fully customised lessons aren't always realistic. Everyone learns differently.
An AI system can observe how a student proceeds through an assigned task, how much time they take and whether they are successful.
If the student is struggling, the system can offer help; if the student is succeeding, the system can present more difficult tasks to keep the activity challenging.
This type of real-time feedback is often difficult for an educator or school to do for a single student, let alone an entire class or campus.
AI adaptive learning tools have been shown to quickly and dynamically make changes to the learning environment, content, and tasks to help individuals learn more and quickly improve.
For instance, researchers at the Human-Computer Interaction Institute at Carnegie Mellon University taught a system how to solve a math problem.
The system can follow instructions from a human supervisor to understand mathematical rules and adapt its approach to problems it has never seen before.
The system can also identify areas where it had to make multiple attempts before arriving at the correct answer, flag those for teachers as places human students may get confused, and highlight
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