Team-Based Online Learning in Multidisciplinary Research and Instruction
dc.contributor.author | Gobbert, Matthias | |
dc.contributor.author | Wang, Jianwu | |
dc.date | 2022-12-20 | |
dc.date.accessioned | 2022-07-19T20:45:11Z | |
dc.date.available | 2022-07-19T20:45:11Z | |
dc.description | The 18th International Conference on Frontiers in Education: Computer Science and Computer Engineering (FECS'22) | |
dc.description.abstract | There is a critical nationwide shortage of IT professionals as well as of scientists and engineers with high-performance 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 multi-disciplinary 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. | en_US |
dc.description.sponsorship | This work is supported by the grant “REU Site: Online Interdisciplinary Big Data Analytics in Science and Engineering” from the National Science Foundation (grant no. OAC–2050943). | en_US |
dc.description.uri | https://par.nsf.gov/biblio/10525054-team-based-online-learning-multidisciplinary-research-instruction | en_US |
dc.format.extent | 10 pages | en_US |
dc.genre | conference papers and proceedings | en_US |
dc.genre | postprints | en_US |
dc.identifier | doi:10.13016/m2lznl-ouu9 | |
dc.identifier.uri | http://hdl.handle.net/11603/25204 | |
dc.language.iso | en_US | en_US |
dc.relation.isAvailableAt | The University of Maryland, Baltimore County (UMBC) | |
dc.relation.ispartof | UMBC Information Systems Department Collection | |
dc.relation.ispartof | UMBC Faculty Collection | |
dc.relation.ispartof | UMBC Mathematics and Statistics Department | |
dc.rights | This item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author. | en_US |
dc.subject | UMBC High Performance Computing Facility (HPCF) | |
dc.title | Team-Based Online Learning in Multidisciplinary Research and Instruction | en_US |
dc.type | Text | en_US |
dcterms.creator | https://orcid.org/0000-0003-1745-2292 | en_US |
dcterms.creator | https://orcid.org/0000-0002-9933-1170 | en_US |