Integrating artificial intelligence in STEM education
This paper explores integrating innovative technologies, including Mola Structural Kits, Smart Lab shake tables, and Micro: bit AI tools, to enhance STEM education through a project-based seismic engineering lesson plan. Students design, construct, and test earthquake-resistant structures by combining hands-on learning with smart classroom technologies. The approach emphasizes critical thinking, collaboration, and problem-solving, allowing students to bridge theoretical concepts with practical applications. This study highlights the benefits of interactive and data-driven learning environments, demonstrating how these tools improve engagement, deepen understanding of engineering principles, and develop essential skills for the 21st-century workforce.
Authors
- Angela McDaniel
Institutions
- West Virginia University (US)
Publication Details
- Journal
- American Journal of STEM Education
- Published
- 2025-03-04
- DOI
- https://doi.org/10.32674/6s0qz548
- Citations
- 2
- Primary Topic
- Online Learning and Analytics
- Type
- article
- Field-Weighted Citation Impact
- 3.39