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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Drazan, J.F. Scott, J.M. Hoke, J.I. Ledet, E.H. |
| Copyright Year | 2014 |
| Description | Author affiliation: Rensselaer Polytech. Inst., Troy, NY, USA (Drazan, J.F.; Ledet, E.H.) || 4 Family Inc., Albany, NY, USA (Scott, J.M.; Hoke, J.I.) |
| Abstract | A hands-on learning module called “Science of the Slam” is created that taps into the passions and interests of an under-represented group in the fields of Science, Technology, Engineering and Mathematics (STEM). This is achieved by examining the use of the scientific method to quantify the biomechanics of basketball players who are good at performing the slam dunk. Students already have an intrinsic understanding of the biomechanics of basketball however this “hidden capital” has never translated into the underlying STEM concepts. The effectiveness of the program is rooted in the exploitation of “hidden capital” within the field of athletics to inform and enhance athletic performance. This translation of STEM concepts to athletic performance provides a context and a motivation for students to study the STEM fields who are traditionally disengaged from the classic engineering outreach programs. “Science of the Slam” has the potential to serve as a framework for other researchers to engage under-represented groups in novel ways by tapping into shared interests between the researcher and disadvantaged populations. |
| Sponsorship | IEEE Eng. Med. Biol. Soc. |
| Starting Page | 5160 |
| Ending Page | 5163 |
| File Size | 714184 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424479290 |
| ISSN | 1557170X |
| DOI | 10.1109/EMBC.2014.6944787 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-08-26 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Force Sociology Statistics Education Biomechanics Biomedical engineering Context |
| Content Type | Text |
| Resource Type | Article |
| Subject | Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition |
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