Baltimore , Maryland
June 25, 2023
June 25, 2023
June 28, 2023
Military and Veterans Division (MVD)
Diversity
14
10.18260/1-2--42398
https://peer.asee.org/42398
331
Dr. Malik is an Associate Professor at the Department of Computer Sciences and Electrical Engineering, Marshall University, WV, USA.
Dr. Dave Dampier is Dean of the College of Engineering and Computer Sciences and Professor in the Department of Computer Sciences and Electrical Engineering at Marshall University. In that position, he serves as the university lead for engineering.
Officers typically enter the military after completing a four-year college degree; enlisted service members can transition to officer positions through various pathways and earn a degree while serving to satisfy Military Occupational Specialty (MOS). While military training and experience are valued for a lifetime, this does not always translate to a clear and straightforward career in civil life after retirement or when servicemen, i.e., military personnel, soldiers, and officers) separate from the military. Every year, about 2000,000 veterans leave the military. Over the next five to ten years, an increasing number of those 2000,000 people will become engaged in data science and machine learning, driven by their interests, skills, backgrounds, and changing business needs. The reason for this is (a) Data science will drive every type of business, and (b) The Army on a continuous basis, will need skillful personnel ( data engineers, analysts and scientists ) to embrace its growth in emerging analytic capability. The Work-in-Progress (WIP) focuses on the need to develop data science MCs for veterans, a high-demand area that is increasingly critical in today's data-driven world. The WIP recommends a design process for developing data science-related MCs for veterans, which includes identifying the skills and competencies needed, developing learning outcomes, designing assessments, and selecting appropriate delivery platforms.
Malik, H., & Dampier, D. A. (2023, June), A Framework to Facilitate Higher Educational Institutions Delivery of Data Science Microcredentials: A First-Hand Experience Paper presented at 2023 ASEE Annual Conference & Exposition, Baltimore , Maryland. 10.18260/1-2--42398
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