Computer Science
Engineering Eco-friendly Slippers: User Reviews Analysis
Middle School
Impacts of Computing
Data & Analysis
In Classrooms
Students train a computer to analyze slipper user reviews and investigate how adjusting the training data impacts the machine learning model's accuracy.
Module Overview
Students consider how a computer could be used to analyze qualitative data collected from slipper users. Students explore and modify a simple machine learning algorithm that categorizes user reviews as positive or negative.
- Teach this module after Engineering Eco-friendly Slippers
- 2 lessons
- 45 minutes per lesson
- Student materials available in Spanish
- Computational tools used: MATLAB Live Scripts (free web-based application)
- Computer science modules require a short list of materials not included in a kit
Standards Alignment
YES units align with state and national science standards, integrating seamlessly with popular elementary science curricula.
Module Resources
Digital Resources (FREE)
YES provides these materials free of charge! Use the link below to download resources from our Google Drive.
Download ResourcesModule Map
Students learn that a computer needs training data to categorize user reviews as positive or negative. They compare how humans and computers identify patterns.
Students vary the amount of training data and adjust the computer’s word-selection criteria to understand how these factors affect the machine learning model’s accuracy.
Our funders
Major support for this project has been provided by MathWorks.