SC.35.CS-CS.6.2 (Discontinued after 2024-2025)

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Compare and contrast human and computer performance on similar tasks (e.g., sorting alphabetically or finding a path across a cluttered room) to understand which is best suited to the task.
General Information
Subject Area: Science
Grade: 35
Body of Knowledge: Computer Science - Communication Systems and Computing (Discontinued after 2024-2025)
Standard: Human – Computer interactions and Artificial Intelligence
Date Adopted or Revised: 05/16
Status: State Board Approved

Related Courses

This benchmark is part of these courses.
5020120: STEM Lab Grade 5 (Specifically in versions: 2016 - 2022, 2022 - 2024, 2024 and beyond (current))
5002020: Introduction to Computer Science 2 (Specifically in versions: 2016 - 2022, 2022 - 2024, 2024 - 2025 (course terminated))

Related Access Points

Alternate version of this benchmark for students with significant cognitive disabilities.

Related Resources

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Lesson Plans

How Generative AI like ChatGPT Works:

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

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.

Type: Lesson Plan

Using Machine Learning and Computational Thinking to Train an AI Model:

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

Be Efficient:

This lesson discusses the efficiency of gathering and storing information manually vs using resourceful technology. For this lesson students will test and collect data using ice cubes.  Students will write code to make a program that shows the changes in states of matter when using a temperature probe to relay the data. This lesson gives examples of different technologies that are more efficient for gathering and storing information for later use. This is the final lesson in the Unit on Detecting Electrical and Thermal Energy.

Type: Lesson Plan

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