July 26, 2021
July 26, 2021
July 19, 2022
NSF Grantees Poster Session
IMPEL is a transformative workforce education and training program that addresses the current and projected skills gaps and requirements in the area of data science in the U.S. manufacturing sector. The mission of IMPEL is to facilitate lifelong learning for the production engineering STEM workforce through designing sustainable, pedagogically-proven data science curricula via modular courses with interactive online learning labs and experiential project-based learning.
The project team has accomplished three main tasks towards the goals of the project in Year 1.
(1) Developed a data-driven skills gap and requirement analysis that utilizes the Emsi Labor Market Analytics data to understand the supply-demand tradeoff of critical skills and domain knowledge perceived in the U.S. manufacturing industry. This study also identifies the critical skills and domain knowledge required for data science related jobs that are highly in-demand in today’s and future advanced manufacturing industry.
(2) Conducted a comprehensive review of emerging research topics and trends in the broader area of manufacturing/production science and engineering that leverage data science. The review also includes a comprehensive analysis of the current state of data science and techniques employed for tackling challenging problems in the Industry 4.0 environment. By performing keyword co-occurrence network analysis, the research team discovers the structure and pattern of knowledge components and their trajectories in the field of manufacturing.
(3) Conducted interviews and consultations with industry experts from diverse manufacturing companies to capture, analyze, and incorporate their experiences associated with acquiring and using relevant on-the-job skills in the design of course modules that serve practical needs and learning preferences.
The findings from these activities are collectively used to tailor the curricula and courses, and in turn address the skills gaps of individuals in the current and future workforce through optimized modularization and customization of learning materials. The IMPEL team has completed the design and development of the first course, “Data Analytics”, and would be completing the second and third courses, “Sensor Analytics” and “Algorithms for Engineering Applications” in next two quarters.
Moghaddam, M., & Isaacs, J. A., & Kamarthi, S., & Storksdieck, M., & Jin, X. (2021, July), NSF: Integrative Manufacturing and Production Engineering Education Leveraging Data Science Program (IMPEL) Paper presented at 2021 ASEE Virtual Annual Conference Content Access, Virtual Conference. https://peer.asee.org/37530
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