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CGVis: A Visualization-Based Learning Platform for Computational Geometry Algorithms

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Addressing Global Challenges and Quality Education (EC-TEL 2020)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12315))

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Abstract

Computational Geometry is a field of study whose full comprehension by students requires a combination of mathematical, algorithmic and application-oriented approaches. Due to the inherently visual nature of geometrical problems as well as to the complexity of related algorithms in terms of data structures and concepts employed, algorithm visualization can provide significant added value to the learning process, by helping shorten the cognitive distance gap between concept and visualization. In this paper, we describe CGVis, a visualization-based interactive educational platform for Computational Geometry algorithms. The paper explains the major design decisions adopted and describes the platform’s main features and functionality in detail. The platform has been evaluated in real-world settings by capturing postgraduate students’ response and feedback regarding usefulness, usability and user experience, as well as by measuring the platform’s educational effectiveness.

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Authors and Affiliations

  1. Department of Informatics and Computer Engineering, University of West Attica, Athens, Greece

    Athanasios Voulodimos, Paraskevas Karagiannopoulos, Ifigenia Drosouli & Georgios Miaoulis

Authors
  1. Athanasios Voulodimos
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  2. Paraskevas Karagiannopoulos
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  3. Ifigenia Drosouli
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  4. Georgios Miaoulis
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Corresponding author

Correspondence to Athanasios Voulodimos .

Editor information

Editors and Affiliations

  1. Universidad Carlos III de Madrid, Leganés (Madrid), Spain

    Carlos Alario-Hoyos

  2. Tallinn University, Tallinn, Estonia

    María Jesús Rodríguez-Triana

  3. Open University Netherlands, Heerlen, The Netherlands

    Maren Scheffel

  4. Trinity College Dublin, Dublin, Ireland

    Inmaculada Arnedillo-Sánchez

  5. Graz University of Technology and Know-Center, Graz, Austria

    Sebastian Maximilian Dennerlein

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Voulodimos, A., Karagiannopoulos, P., Drosouli, I., Miaoulis, G. (2020). CGVis: A Visualization-Based Learning Platform for Computational Geometry Algorithms. In: Alario-Hoyos, C., Rodríguez-Triana, M.J., Scheffel, M., Arnedillo-Sánchez, I., Dennerlein, S.M. (eds) Addressing Global Challenges and Quality Education. EC-TEL 2020. Lecture Notes in Computer Science(), vol 12315. Springer, Cham. https://doi.org/10.1007/978-3-030-57717-9_21

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  • DOI: https://doi.org/10.1007/978-3-030-57717-9_21

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-57716-2

  • Online ISBN: 978-3-030-57717-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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