Building AI-Powered Responsible Workforce by Integrating Large Language Models into Computer Science Curriculum
Software development is undergoing a revolutionary transformation, fueled by remarkable advancements in Large Language Models (LLMs). This wave of innovation is reshaping the entire landscape and holds the promise of streamlining the development process, leading to increased productivity and efficiency. By providing text prompts, developers can now receive entirely generated code outputs, representing a fundamental shift in how software is built. This paradigm change can accelerate development cycles and unlock new levels of creativity and ingenuity, resulting in the realization of novel applications and business outcomes. However, this paradigm shift also brings new challenges and necessitates acquiring additional skills for software developers to fully harness the capabilities of LLM-powered tools. These skills include prompt engineering for software development, structural complexity management, debugging of AI errors, and compliance with ethical guidelines and principles.
Authors
- Brian K. Hare (ORCID: https://orcid.org/0009-0006-4727-7682)
- Dianxiang Xu (ORCID: https://orcid.org/0000-0003-4529-3540)
- Syed Jawad Hussain Shah (ORCID: https://orcid.org/0000-0002-7181-2079)
- Joan Gladbach (ORCID: https://orcid.org/0009-0007-3626-391X)
Institutions
- University of Missouri–Kansas City (US)
Publication Details
- Published
- 2025-02-18
- DOI
- https://doi.org/10.1145/3641555.3704749
- Primary Topic
- Online Learning and Analytics
- Type
- article
- Field-Weighted Citation Impact
- 0.00