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Embedding notions of teaching-student-research nexus: a case study in nautical sciences
Vervoort, M.; Pierré, N. (2014). Embedding notions of teaching-student-research nexus: a case study in nautical sciences, in: Gómez Chova, L. et al. EDULEARN14. 6th International Conference on Education and New Learning Technologies, Barcelona, Spain. 7-9 July, 2014. pp. 540-546
In: Gómez Chova, L. et al. (Ed.) (2014). EDULEARN14. 6th International Conference on Education and New Learning Technologies, Barcelona, Spain. 7-9 July, 2014. IATED Academy: [s.l.]. ISBN 978-84-617-0557-3. lx, 7626 pp., meer
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| Beschikbaar in | Auteurs |
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Documenttype: Congresbijdrage
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| Author keywords |
teaching-students-education-research nexus; big data analytics; Researchand Development and Innovation projects |
| Auteurs | | Top |
- Vervoort, M., meer
- Pierré, N.
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| Abstract |
Becoming aware of the variety of ways that teachers and students experience and apply research in higher education sets all key holders to become more reflective of the environment in which learning is taking place. With the increasing need to implement teaching-student-research nexus, self-responsibility and self-motivation is moving to the forefront of higher education. The paper is based on the findings of a research project that is implemented into bachelor final works at the Antwerp Maritime Academy. We examine how research knowledge can generate innovative outcomes that meaningfully benefit a wider set of key-holders. A third year undergraduate project is analyzed as a basis for discussion and evidence for recommendations. The project involves the following field 'Big Data analytics in Nautical Sciences'. Big Data refers to datasets whose size is beyond the ability of typical database software tools to capture, store, manage and analyze. The size of Big Data not only differs by sector, but also grows over time, since technology advances allow to process more data than before. Therefore Big Data encompasses a few dozen terabytes to multiple petabytes. Big Data analytics uses predictive and prescriptive analytics and is changing the analytics landscape. The use of Big Data analytics is currently exploding with the ever becoming cheaper and more accessible technology. However in Nautical Sciences there are still some opportunities left, waiting to take part of the optimization process which is currently the new way of improving revenue and operational efficiency. Some research examples in this work include together with his outcomes for the key-holders: 1. Routing taking in account operational risk, fuel prices,... 2. Monitoring a student's progress while on the simulator 3. Monitoring crew's performance taking into account weather conditions,... 4. The use of (partly) unmanned ships 5. The use of Big Data in shipbuilding |
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