An Introduction to Rule-Based Feature and Object Perception for Middle School Students
Abstract
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.
Cite
Text
DiPaola et al. "An Introduction to Rule-Based Feature and Object Perception for Middle School Students." AAAI Conference on Artificial Intelligence, 2023. doi:10.1609/AAAI.V37I13.26900Markdown
[DiPaola et al. "An Introduction to Rule-Based Feature and Object Perception for Middle School Students." AAAI Conference on Artificial Intelligence, 2023.](https://mlanthology.org/aaai/2023/dipaola2023aaai-introduction/) doi:10.1609/AAAI.V37I13.26900BibTeX
@inproceedings{dipaola2023aaai-introduction,
title = {{An Introduction to Rule-Based Feature and Object Perception for Middle School Students}},
author = {DiPaola, Daniella and Malachowsky, Parker and Black, Nancye Blair and Alghowinem, Sharifa and Du, Xiaoxue and Breazeal, Cynthia},
booktitle = {AAAI Conference on Artificial Intelligence},
year = {2023},
pages = {16004-16010},
doi = {10.1609/AAAI.V37I13.26900},
url = {https://mlanthology.org/aaai/2023/dipaola2023aaai-introduction/}
}