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Bridging Disciplines with AI-Powered Coding: Empowering Non-STEM Students to Build Advanced APIs in the Humanities


Author: Daniel Plate, James Hutson*
Lindenwood University, USA.
Published Date: 2024-09-12
Keywords: AI-powered coding, non-STEM education, humanities, API development, digital methodologies.
Abstract:
The integration of AI-powered coding assistants, such as Cursor AI, GitHub Copilot, and Replit’s Ghostwriter AI, represents a transformative shift in programming education, particularly for non-STEM students. These tools democratize coding by enabling natural language code generation, intelligent error correction, and context-aware assistance within familiar coding environments. This article explores how these technologies empower educators across disciplines to introduce basic and advanced coding concepts to humanities students, a demographic traditionally underserved in programming education. By leveraging AI, instructors can teach non-STEM students the foundational principles of coding and guide them through the development of sophisticated projects, such as building APIs for literary analysis or creative world-building. These endeavors, once reserved for advanced digital humanities research, now become accessible within the framework of undergraduate humanities courses. The article examines the practical applications of AI-assisted coding in humanities education, demonstrating how these tools facilitate a deeper engagement with digital methodologies, thus expanding the horizons of what is possible in these fields. Additionally, it discusses the potential for AI-powered assistants to address the unique needs of non-STEM learners, offering a tailored educational experience that aligns with their academic and creative pursuits. This approach not only enriches the humanities curriculum but also fosters interdisciplinary collaboration, preparing students for a future where coding literacy is an essential skill across all domains.