SC.4.PE.3.1

Students will explore Artificial Intelligence (AI) and how generative AI models use Large Language Models (LLMs) and Natural Language Processing NLP to generate outputs. This grades 4-5 lesson is an integrated Computer Science, ELA and Math lesson designed for application of math and ELA content knowledge while exploring and using computational thinking to understand how generative AI works, making cross-curricular connections to understand emerging technologies.

Type: Lesson Plan

Students will explore Artificial Intelligence (AI) and use computational thinking and Machine Learning (ML) to pretrain a model to recognize and identify objects, including geometric shapes and aircraft. They will used unplugged activities to mimic sorting and classification of the objects using their prior knowledge and then make connections to human learning and Machine Learning. Students will then problem solve and propose solutions using computational thinking to improve the ML model to better recognize the objects. This lesson is an integrated Computer Science, Science and Math lesson designed for students in grades 3-5 to apply math and science content knowledge while exploring and using computational thinking as they think like Computer Engineers and reflect on potential career paths.

Type: Lesson Plan

Use computational thinking strategies to build a wind powered car using decomposition, pattern recognition, abstraction, and algorithm design. This is part 1 of a 2 part series on computational thinking.

Type: Original Student Tutorial

Use computational thinking strategies to test a wind powered car using decomposition, pattern recognition, abstraction, and algorithm design. This is part 2 of a 2 part series on computational thinking.

Type: Original Student Tutorial