Best Practices of Student Engagement in Online Teaching of HPC and Big Data Research
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Date
2021
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Citation of Original Publication
Gobbert, Matthias; Wang, Jianwu; Best Practices of Student Engagement in Online Teaching of HPC and Big Data Research; High Performance Computing Facility, 2021; https://hpcf-files.umbc.edu/research/papers/Gobbert_EduHPC2021.pdf
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Abstract
There is a critical nationwide shortage of IT professionals as well as of scientists and engineers with highperformance computing (HPC) and big data related advanced
computing skills. Simultaneously, the technology is growing in
complexity and sophistication, which has led to the use of multidisciplinary teams with members from a broad range of home
domains everywhere in industry, government, and academia.
Moreover, a lot of the vital team collaborations take will place
virtually using a variety of software platforms now and in the
future. We report here on experiences with preparing undergraduate and graduate students for these career opportunities in
several contexts, from regular semester classes, an undergraduate
summer research program, to an advanced graduate student
CyberTraining program. All these programs are conducted fully
online and leveraged concepts of flipped classrooms, recorded lectures, team-based and active learning, regular oral presentations,
and more to ensure student engagement and lasting learning.