Towards an AI-Motivated Mathematical Skills Inventory for Future Engineers
In recent years, artificial intelligence (AI) has had a profound impact on various industries, including engineering, through innovations in optimization, automation, and predictive maintenance. To stay at the forefront of these changes, higher education institutions are increasingly embedding AI-oriented instruction into engineering programs to ensure curricula remain relevant. As AI reshapes the engineering landscape, an important question emerges: Are engineering students adequately equipped with the mathematical foundations and competencies necessary to effectively develop, fine-tune, deploy, and evaluate AI models? This work-in-progress paper addresses this question by proposing the development of a skills inventory tailored to linear algebra-a foundational mathematical concept for AI.
Authors
- Alexandra Werth (ORCID: https://orcid.org/0000-0003-0310-2654)
- Raahil Shah
- Rehan Shah (ORCID: https://orcid.org/0000-0002-5025-3503)
- Ilathiraiyan Sivagnanamoorthy
Institutions
- Queen Mary University of London (GB)
- Cornell University (US)
Publication Details
- Published
- 2025-04-22
- DOI
- https://doi.org/10.1109/educon62633.2025.11016544
- Primary Topic
- Mathematics Education and Programs
- Type
- article
- Field-Weighted Citation Impact
- 0.00