Hi everyone, welcome to the session on AI in schools. This is another Meetup that we have for productive screen time for children at KidsNary. This will be the agenda that I thought, but before I go there, just quickly introducing myself again. My name is Asha, and I am the founder of KidsNary. Our aim is to make the screen time of children more productive, wherever they are in the world. So that's a little bit about me.
In this session, we'll cover the following:
Artificial Intelligence (AI) aims to mimic human intelligence, with a focus on two main categories: narrow AI and general AI. Narrow AI includes machine learning, deep learning, and neural networks, all designed to perform specific tasks. General AI aims to replicate broader human cognitive abilities but is still in developmental stages. Super AI aims to go beyond human intelligence but is currently a distant goal.
Key components that make AI possible include:
From our research, here are the primary trends in AI education worldwide:
Here's how the Central Board of Secondary Education (CBSE) in India is implementing AI curricula:
According to the 2020 New Education Policy, there are plans to introduce AI and coding as skill-based education. The focus is more on basic AI concepts, coding, and understanding AI's presence in our day-to-day lives.
State Boards are also taking steps to integrate AI into their curricula:
While progress is being made, several challenges remain:
Q: What is the aim of AI education in schools? A: The aim is to equip students with the skills and knowledge to leverage AI for solving real-world problems and to prepare them for future technological advancements.
Q: Which programming language is primarily taught for AI in schools? A: Python is primarily taught because many AI, machine learning, and deep learning tools are developed using this language.
Q: How is AI introduced to younger students in primary schools? A: AI concepts are introduced using gamified learning methods, basics of AI use cases, and simple programming environments like Scratch.
Q: What are some of the key challenges in implementing AI education? A: Key challenges include teacher training, access to labs and devices, and making the curriculum relevant to real-world applications.
Q: How does the CBSE curriculum for AI expand as students move to higher classes? A: The CBSE curriculum starts with basic applications and ethics in AI at lower classes and progresses to advanced Python, machine learning, and real-world project life cycles in higher classes.
Q: How do state boards in India approach AI education? A: State boards often integrate AI with existing subjects like coding and networking, and emphasize hands-on projects and practical applications.
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