Georgia School District Introduces AI from Kindergarten Onward

Questions have been raised regarding how the development of artificial intelligence may affect creativity and critical thinking. One school district in Gwinnett County, Georgia, has gone all-in and launched a curriculum that introduces the technology into classrooms,kindergarten onward, while some schools are forbidding its usage. 

Beyond robotics and computer science classes, the methodology is used. Artificial intelligence is accepted by both teachers and students in almost every subject taught, from English to art. There is still much to discover, even though it appears that the machines are winning over students, parents, and instructors so far.

First graders are programming Lego bricks at Patrick Elementary School in Buford, Georgia, about an hour outside of Atlanta, as part of a curriculum requiring original problem-solving. More than simply building blocks, kids are gaining experience with technology, such as iPads, as part of a pilot program in public schools that aims to educate children for the potential and difficulties that come with the development of AI. 

Even if they don’t understand what AI is, the young students already understand how to use it. Olivia, a six-year-old, went above and above the instruction and learned how to set up a sensor to react to particular colors.

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Embracing AI for Kindergarten Onward

It’s something new for Gwinnett County schools as well. However, roughly five years ago, administrators made the decision to utilize some of their regular yearly budget to create an AI-driven curriculum, starting at a new high school and later expanding to three primary schools and a middle school. 

The K–12 curriculum for the district is known as Computer Science for All. Scott Gaffney, a social studies teacher at Seckinger High School in Buford, is utilizing technology in subtler ways. 

Students request that ChatGPT examine years’ worth of traffic data, then utilize the results to help develop ideas for safer roadways. All indications point to the students’ continued involvement with machine learning after they start working. 

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Source: www.cbsnews.com