Exploring Artificial Intelligence in English Language Arts with StoryQ

Authors

  • Jie Chao Concord Consortium
  • Rebecca Ellis Concord Consortium
  • Shiyan Jiang North Carolina State University at Raleigh
  • Carolyn Rosé Carnegie Mellon University
  • William Finzer The Concord Consortium
  • Cansu Tatar North Carolina State University
  • James Fiacco Carnegie Mellon University
  • Kenia Wiedemann The Concord Consortium

DOI:

https://doi.org/10.1609/aaai.v37i13.26899

Keywords:

Machine Learning, K-12 AI Education, High School, English Language Arts, Curriculum Module, Learning Technology, Text Classification

Abstract

Exploring Artificial Intelligence (AI) in English Language Arts (ELA) with StoryQ is a 10-hour curriculum module designed for high school ELA classes. The module introduces students to fundamental AI concepts and essential machine learning workflow using StoryQ, a web-based GUI environment for Grades 6-12 learners. In this module, students work with unstructured text data and learn to train, test, and improve text classification models such as intent recognition, clickbait filter, and sentiment analysis. As they interact with machine-learning language models deeply, students also gain a nuanced understanding of language and how to wield it, not just as a data structure, but as a tool in our human-human encounters as well. The current version contains eight lessons, all delivered through a full-featured online learning and teaching platform. Computers and Internet access are required to implement the module. The module was piloted in an ELA class in the Spring of 2022, and the student learning outcomes were positive. The module is currently undergoing revision and will be further tested and improved in Fall 2022.

Downloads

Published

2023-09-06

How to Cite

Chao, J., Ellis, R., Jiang, S., Rosé, C., Finzer, W., Tatar, C., Fiacco, J., & Wiedemann, K. (2023). Exploring Artificial Intelligence in English Language Arts with StoryQ. Proceedings of the AAAI Conference on Artificial Intelligence, 37(13), 15999-16003. https://doi.org/10.1609/aaai.v37i13.26899

Issue

Section

EAAI Symposium: Resources for Teaching AI in K-12