An Introduction to Rule-Based Feature and Object Perception for Middle School Students
DOI:
https://doi.org/10.1609/aaai.v37i13.26900Keywords:
AI Literacy, K-12 Education, Rule-based Classification Algorithms, Teaching And Learning ResourcesAbstract
The Feature Detection tool is a web-based activity that allows students to detect features in images and build their own rule-based classification algorithms. In this paper, we introduce the tool and share how it is incorporated into two, 45-minute lessons. The objective of the first lesson is to introduce students to the concept of feature detection, or how a computer can break down visual input into lower-level features. The second lesson aims to show students how these lower-level features can be incorporated into rule-based models to classify higher-order objects. We discuss how this tool can be used as a "first step" to the more complex concept ideas of data representation and neural networks.Downloads
Published
2023-09-06
How to Cite
DiPaola, D., Malachowsky, P., Blair Black, N., Alghowinem, S., Du, X., & Breazeal, C. (2023). An Introduction to Rule-Based Feature and Object Perception for Middle School Students. Proceedings of the AAAI Conference on Artificial Intelligence, 37(13), 16004-16010. https://doi.org/10.1609/aaai.v37i13.26900
Issue
Section
EAAI Symposium: Resources for Teaching AI in K-12