AI Education Across the Curriculum (StoryQ)
Artificial intelligence (AI) is reshaping society. While not every student needs to become an AI scientist or engineer, almost everyone will enter a workforce powered and transformed by AI technologies. Preparing youth to enter and engage with an AI-filled future is one of our most critical challenges. AI, however, is a highly interdisciplinary field, so AI education can happen in a variety of settings where the problems of interest call for AI solutions.
The StoryQ projects aim to support high school students in developing knowledge in AI and interest in AI-rich careers by integrating foundational AI education into disciplinary studies. We have created several modules that address different aspects of AI and align to ELA, math, and history classes.
Log in with your teacher account to check out the teacher support materials, pre/post tests, and assign the lessons to your students. If you don’t have a teacher account, click Register at the top-right corner to create one now.
Interested in a live demo or professional development opportunities? Please contact us (storyq@concord.org) to request a session.
Teachers: Be sure to check out the teacher editions and teacher guides!
Unit Includes
- Teacher Edition
- Teacher Dashboard
- Pre & Post Assessments
Teacher Resources
Module Descriptions & Course Alignment
This document outlines each module, suggests course alignment, and has links to pre & post tests.
Guide to Assigning Materials
This document is a step-by-step guide on how to create your classes and assign materials to your students.
Curriculum Use Information Sheet
This document is an information sheet about the project for parents/guardians.
ELA Text Classification Support
This is the detailed teacher guide for the ELA text classification module.
Ready to get started? Learn how with the STEM Resource Finder.
Modules
Technology Demos
AI-Powered Historians Dataset Exploration
Explore the dataset from the AI-Powered Historians module. Do you notice any patterns? How does analyzing data using a text classification model help you analyze historical documents? What is lost when using tools like this?
Markov Chain Model
Have you ever wondered how your phone knows what word to suggest next? Is that suggestion any good? In this demo, you will build and analyze a Markov chain model, which demonstrates one way to generate text and predict the next word in a sequence.
StoryQ Text Classification
Have you ever wondered how businesses can quickly read and sort so many reviews? Try your hand at building a model to predict if a review is positive or negative! This model is used in both the Math & AI and Text Classification modules.
Partners
