Krish, you've spoken about the tools, in AI and how they can be leveraged for delivery, education delivery. Now when we speak about AI literacy and actually learning about AI, what is it that schools need to do there?
AI literacy is about understanding the AI principles, the technologies, and the societal impact that we have. Now incorporating AI into the curriculum is absolutely critical for the future of the students because AI is going to play a critical role into it. Starting very, very early, even up to the elementary stage, introducing the AI principles and coding is absolutely must. Projects like Code dot Arc does it in a most engaging way in terms of gamifying projects and activities and things like that.
From a middle school level, it is critical to start engaging hands on projects. So, you know, by using programming tools like Scratch and Python, we have to start having our students try out a very small AI model or AI platform, you know, in terms of creating a recommendation engine or a chatbot kind of a thing. It not only teaches them the technical skills how to do those, but also kind of improves analytical skills, problem solving, and working collaboratively with others, etcetera. When it comes to high school, I would say interdisciplinary approach is the must.
AI has to be incorporated in every single subject, whether it is STEM, team, social, sports, anything at all. You know, biases that are being created are, you know, how do we avoid them are the data privacy concerns, etcetera.
Last but not the least, the only way it will all make sense is to bring the industry into the curriculum. It does two things really, really well. One is to get you all the resources that the students need in terms of learning those technologies and also gives you a perspective what those industries need from the students.
