Description
In TechnoHelper Bots AI, students step into the exciting world of Artificial Intelligence as Robot Designers. Across six engaging hands-on sessions, students explore how Helper Bots work, how computers make decisions, and how AI systems learn from data. Through creative projects, coding activities, and machine learning experiences, students design and improve their own interactive Helper Bots.
Students learn about inputs and outputs, recognize patterns and sorting rules, train a machine learning model, explore fairness in AI, map decision trees, and build interactive Scratch projects. The journey concludes with the exciting Helper Bot Expo, where students proudly showcase their completed creations and celebrate becoming Robot Designers.
Session 1 – Becoming Robot Designers
Students begin their journey by meeting different Helper Bots and discovering how hese smart digital assistants can make everyday life easier and more fun.
They explore how AI systems use inputs and outputs by participating in an interactive AI drawing game where the computer attempts to guess their sketches. Students then use their creativity to design their very own Helper Bot.
Session 2 – Patterns and Sorting Rules
Students discover how computers use patterns to help make decisions. They investigate shape patterns and learn how to identify and describe the rules behind them.
Students also create friendship bracelet patterns and complete hands-on sorting activities that strengthen their pattern recognition and classification skills.
Session 3 – Training a Machine Learning Helper Bot
Students help train a “Clean Up” Helper Bot that struggles to sort school supplies correctly. They begin by classifying objects and discussing the rules used for sorting.
Next, students become AI developers and use
Teachable Machine to train a real machine learning model using images. Their trained Helper Bot learns how to identify and organize classroom objects.
Session 4 – Fairness in AI
Students explore why fairness is important when designing Helper Bots and AI systems.
Through classroom discussions and fairness scenarios, students analyze different outcomes and think critically about responsible AI design. They then use Scratch to code a creative “Helper Bot Promise.”
Session 5 – Decision Trees and Scratch Coding
Students create an interactive Helper Bot in Scratch that transports users to exciting destinations based on their choices.
To prepare, students explore decision trees and learn how yes/no questions help guide decisions in computers and AI systems. They then plan, design, and code their own interactive Scratch experiences.
Session 6 – Helper Bot Expo
Students attend the exciting Helper Bot Expo, where they proudly showcase their completed robot creations.
Visitors can explore the bots, test their features, and leave feedback. Students then reflect on their learning journey and celebrate their growth as Robot Designers and young AI innovators.
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