Machine Learning Unplugged

Provided by: LabXchange |Published on: May 8, 2026

Lesson Plans

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Synopsis

This lesson plan introduces students to the concept of machine learning through hands-on activities that require no computer access, helping learners understand how algorithms are trained using data.
Students engage in sorting, classifying, and pattern-recognition activities that mirror how machine learning models work, building foundational computer science and data literacy skills.

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Subjects: Science, Computer Science

Authors: The Tech Interactive

Region: Global

Languages: English

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Teaching Materials

Preparation:

Print and cut one set of the Data Set Cards for each group, planning for groups of 3-4 students.

Prerequisites:

Provide students with a grade-level-appropriate definition for the terms artificial intelligence and algorithm.

Climate Change Connections:

Have students consider why it is necessary to track animals. Discuss the impacts of climate change on biodiversity, habitats, and migration.
Have students brainstorm other uses for AI and data processing that can contribute to mitigation or adaptation strategies in the face of climate change.
For a balanced discussion about AI, discuss some of the environmental and climate change-related concerns associated with the use of these technologies. Have students consider how people weigh the benefits and the costs. Consider using this video as an introduction to the topic.

Differentiation:

Refer to the sections titled "Beginning Programmers" and "Advanced Programmers" in the Lesson Directions for ways to differentiate for young learners and extensions for older learners, respectively.
Differentiate for advanced learners by asking them to design their own simple classification algorithm for a real-world environmental problem.

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About the Partner Provider

LabXchange

Harvard University’s LabXchange is a free online platform for science education, created with support from the Amgen Foundation. It makes learning science online flexible and fun, with interactives, lab simulations, and more.

Scientist Reviewed

This resource has been reviewed by SubjectToClimate's climate scientists and verified for scientific accuracy and up-to-date information. Our review process ensures that every resource in our library reflects the current state of climate science.

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Machine Learning Unplugged

Synopsis

Teaching Materials

About the Partner Provider

Scientist Reviewed

Related Teaching Resources