Standard #: SC.1.PE.3.3


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Describe how data collected from models can be used to solve real-world problems.


General Information

Subject Area: Computer Science (Starting 2025-2026)
Grade: 1
Strand: Programming and Software Engineering
Date Adopted or Revised: 07/24
Status: State Board Approved

Related Courses

Course Number1111 Course Title222
5002031: Grade 1 Foundations of Computer Science (Specifically in versions: 2025 and beyond (current))


Related Resources

Lesson Plan

Name Description
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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