WIP: Exploring Mathematical Proficiency in AI-Driven Engineering Environments: A Survey-Based Study of Current Workforce Needs

This research WIP paper describes the current workforce needs of math skills. In today's rapidly evolving technological landscape, understanding the mathematical requirements of the engineering workforce is essential for educational institutions and industry stakeholders alike. This study outlines a comprehensive survey-based study aimed at identifying the current and future mathematical needs of engineers in the workforce, while considering the impact of artificial intelligence (AI) on these requirements. The study will involve administering a survey to practicing engineers to gauge their utilization of mathematics in their respective fields. Questions will delve into areas such as the types of mathematical concepts commonly employed, the most complex problems encountered, and any gaps in mathematical education that have been observed. Furthermore, the survey will seek insights into potential training needs to enhance mathematical skills among professionals. One of the primary objectives of this research is to provide valuable insights into the current state and future perspectives of the workforce's mathematical requirements. By analyzing survey responses, the study aims to offer recommendations to educational institutions to align their curricula with the evolving needs of industry. This proactive approach will ensure that future generations of engineers are equipped with the necessary mathematical competencies to thrive in their careers. A key aspect of this study is the differentiation between engineering and engineering technology disciplines, recognizing that mathematical requirements may vary across different sectors. By delineating these distinctions, the research will provide targeted recommendations tailored to the specific needs of each field for two year and four years institutions. Collaboration with national and international organizations, including IEEE, ASEE, STEM Pioneers and other platforms, will ensure a broad and diverse participation pool for the survey. This strategic partnership will facilitate access to a wide audience of professionals, thereby enhancing the validity and reliability of the study outcomes. In conclusion, this survey-based study represents a concerted effort to comprehensively understand and address the mathematical needs of the current workforce, particularly within AI-driven engineering environments. By bridging the gap between academia and industry, the research aims to foster a symbiotic relationship wherein educational institutions adapt their offerings to meet the demands of the evolving job market, heavily influenced by the pervasive integration of AI technologies. With meticulous data analysis and strategic collaboration, the study anticipates yielding actionable insights that will not only shape the future of mathematical education but also contribute significantly to professional development in engineering and engineering technology fields amidst the omnipresent influence of AI.