Smart technologies and applications for visualisation in higher science and Engineering education: Issues of knowledge integration and virtual experimentation

Onime, Clement; Uhomoibhi, James; Austin, Roger; McNair, Victor

doi:10.1109/educon.2017.7942981

Cited by 5 publications

(2 citation statements)

References 20 publications

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“…They oftentimes involve social, economic, cultural political and scientific factors, which are interwoven. The solution to these issues require a myriad of possibilities [8][9][10][11] and a process which involves understanding the practical implications of proposed solutions, evaluating scientific evidence and assessing proposals which could be loaded with environmental and economic consequences. Research into big data and visualization improves understanding and hence helps and should contribute to the making of informed decisions.…”

Section: Control Results Analysis and Discussionmentioning

confidence: 99%

Data Visualization in Engineering Pedagogy through Determination of Colour Variance in Contaminated Grass Samples

White

Uhomoibhi

2018

Int. J. Eng. Ped.

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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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Section: Control Results Analysis and Discussionmentioning

confidence: 99%

Data Visualization in Engineering Pedagogy through Determination of Colour Variance in Contaminated Grass Samples

White

Uhomoibhi

2018

Int. J. Eng. Ped.

Self Cite

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“…Use of digital representation like virtual reality (VR) and AR in engineering include engineering drawing and machine elements, electrical and civil examples [2][3][4][5][6][7][8][9]. AR has also been utilised in other fields including of higher education [10][11][12][13][14][15].…”

Section: Introductionmentioning

confidence: 99%

The Application of Virtual Tools in Teaching Dynamics in Engineering

Klarić

Lockley

Pisačić

2023

Teh. glas. (Online)

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Student success in Dynamics, a core subject in Mechanical Engineering courses, requires conceptual understanding of complex systems. Dynamics covers motion of particles and objects, and usually relies on 2 dimensional images and/or written descriptions to explain models and problems. This paper explores the value of visual representation of Dynamics problems with an assumption that it would facilitate student understanding of the content. Two approaches were applied for representation of Dynamics problems with the premise of Bring Your Own Device (BYOD): used with augmented reality and web animation activities. Responses from students and reflection from lecturers were collected and reviewed in relation to the applicability and the ease of use. Students and lecturers both appreciated the benefits of visual representation of complex models, and the possibility of manipulating with virtual objects. Lecturers also appreciated the easy access and use of tools during the class.

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

Uhomoibhi

White

2018

Advances in Intelligent Systems and Computing

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Smart technologies and applications for visualisation in higher science and Engineering education: Issues of knowledge integration and virtual experimentation

Cited by 5 publications

References 20 publications

Data Visualization in Engineering Pedagogy through Determination of Colour Variance in Contaminated Grass Samples

Data Visualization in Engineering Pedagogy through Determination of Colour Variance in Contaminated Grass Samples

The Application of Virtual Tools in Teaching Dynamics in Engineering

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

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