Teaching AI to Non-STEM Students: A General Education Approach Using Space Weather and Low-Code Tools

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Artificial Intelligence (AI) is an increasingly important topic across many disciplines, impacting industries and social institutions beyond traditional STEM fields. As AI becomes a part of daily life, it is crucial to introduce AI concepts to non-STEM students. This paper discusses an interdisciplinary approach to teaching AI at Rockland Community College, a two-year institution within the State University of New York (SUNY) system. Our curriculum integrates AI literacy into general education requirements, allowing students to fulfill the Natural Science General Education requirement. A central focus is the application of AI in analyzing solar weather patterns using low and no-code tools. We explore pedagogical strategies, course design, and student engagement techniques to make AI accessible and applicable across various fields.

Original languageEnglish
Title of host publication2025 15th IEEE Integrated STEM Education Conference, ISEC 2025
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798331513436
DOIs
StatePublished - 2025
Event15th IEEE Integrated STEM Education Conference, ISEC 2025 - Princeton, United States
Duration: 15 Mar 2025 → …

Publication series

Name2025 15th IEEE Integrated STEM Education Conference, ISEC 2025

Conference

Conference15th IEEE Integrated STEM Education Conference, ISEC 2025
Country/TerritoryUnited States
CityPrinceton
Period15/03/25 → …

Keywords

  • AI education
  • Artificial intelligence (AI)
  • community college general education STEM courses
  • interdisciplinary STEM courses
  • machine learning
  • robotics
  • space weather

Fingerprint

Dive into the research topics of 'Teaching AI to Non-STEM Students: A General Education Approach Using Space Weather and Low-Code Tools'. Together they form a unique fingerprint.

Cite this