AI systems are based on algorithms that process large sets of training data and analysing that data for correlations and patterns and from that make predictions about future states. The foundation for building AI applications is Computational Thinking.
Working on Creya Artificial Intelligence (AI) projects, students get to understand and apply skills of decomposition, pattern recognition, abstraction, and algorithms. The Creya AI projects for students of grades 1 – 10 lay the foundation for essential 21st-century skills such as problem-solving and creative thinking.
In the Decomposition process, students learn how to break down complex problems into smaller, simpler problems that can lend themselves for easier solving, while Pattern recognition allows them to make connections beyond the clutter. The skill for Abstraction which allows identifying important information from unrelated or irrelevant details is important in problem-solving.
The entire sequence of algorithmic thinking as the means to find innovative solutions provides the best context for students in schools to develop all essential skills of learning, reasoning and self-correction.
AI is becoming the core for building products for almost all fields, ranging from complex architectural marvels to running factories, to detecting cancer to stock trading or creating better music and art. AI is truly at the intersection of interdisciplinary problem solving requiring data from various fields and disciplines from science to technology to psychology to design and combining them as appropriate.
From associating and recognizing
AI devices need to function in harmony with humans and other machines or systems, so students are taught to learn from every aspect of their lives and apply it back in their projects for an iterative process of making the world a better place.