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International Conference on Interactive Collaborative Learning

ICL 2017: Teaching and Learning in a Digital World pp 271–281Cite as

Data Visualization and Enhanced Learning in Engineering Education Through Oil Pollution Studies and Environmental Impact Assessment

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 716))

Abstract

Big Data and Data Analytics have in recent times become important areas of focus in academia, in business and in society. This paper utilises experiments involving data visualisation of oil pollution studies and their effects on environment for enhanced learning in engineering education. Tracking and analysis of images and the use of accessible applications for the analysis of acquired data revealed the level of impact of the different types of oil pollution on grass vegetation. In accounting for these changes the primary RGB colours and corresponding values are used. The use of spectral analysis applications available in spectroscopy and comparison of results would in future prove useful in assessing some aspects of these changes in relation to wavelength and colours changes. The results of these studies would contribute in no small measure to the determination of best cleaning strategies for oil spills.

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Author information

Authors and Affiliations

  1. Faculty of Computing and Engineering, Computer Science Research Institute, Ulster University, Newtownabbey, Co Antrim, BT37 0QB, Northern Ireland, UK

    James Uhomoibhi

  2. Faculty of Computing and Engineering, School of Engineering, Ulster University, Newtownabbey, Co Antrim, BT37 0QB, Northern Ireland, UK

    Conor White

Authors
  1. James Uhomoibhi
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  2. Conor White
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Corresponding author

Correspondence to James Uhomoibhi .

Editor information

Editors and Affiliations

  1. Carinthia University of Applied Sciences , St. Magdalen, Kärnten, Austria

    Michael E. Auer

  2. International E-Learning Association Kaleidoscope Learning, New York, New York, USA

    David Guralnick

  3. Obuda University , Budapest, Hungary

    Istvan Simonics

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Cite this paper

Uhomoibhi, J., White, C. (2018). Data Visualization and Enhanced Learning in Engineering Education Through Oil Pollution Studies and Environmental Impact Assessment. In: Auer, M., Guralnick, D., Simonics, I. (eds) Teaching and Learning in a Digital World. ICL 2017. Advances in Intelligent Systems and Computing, vol 716. Springer, Cham. https://doi.org/10.1007/978-3-319-73204-6_31

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  • DOI: https://doi.org/10.1007/978-3-319-73204-6_31

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-73203-9

  • Online ISBN: 978-3-319-73204-6

  • eBook Packages: EngineeringEngineering (R0)

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