Standard #: SC.K2.CS-CP.1.2


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Collect and manipulate data using a variety of computing methods (e.g., sorting, totaling, and averaging).


General Information

Subject Area: Science
Grade: K2
Body of Knowledge: Computer Science - Computer Practices and Programming
Standard: Data analysis
Date Adopted or Revised: 05/16
Status: State Board Approved

Related Courses

Course Number1111 Course Title222
5002010: Introduction to Computer Science 1 (Specifically in versions: 2016 - 2022, 2022 - 2023, 2023 - 2024, 2024 - 2025 (course terminated))


Related Resources

Lesson Plans

Name Description
How does Generative AI work?

Students will explore Artificial Intelligence (AI) and the basics on how generative AI models use Large Language Models (LLMs) and Natural Language Processing NLP to generate outputs. This K-3 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.

Exploring Machine Learning to Train an AI Model

Students will explore Artificial Intelligence (AI) and Machine Learning (ML) and 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 an iterative process 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 K-2 to apply math and science content knowledge while exploring and using computational thinking like people in Computer Science careers do.

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